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Paper Citation Record · LEDGER

LLaMA: Open and Efficient Foundation Language Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 100 inbound Pith citation observations for arXiv:2302.13971.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2302.13971 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 100 of 3659 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T09:02:31.211260Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

3905
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f4c5676f-ec93-4558-b915-8f29ce8cc3a8 · inbound

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models cites this paper.

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 67

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local_arxiv, observed 2026-05-15T15:11:21.897186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7067362a-b731-48b9-aadc-3205ee9af745 · inbound

Sigmoid Loss for Language Image Pre-Training cites this paper.

Sigmoid Loss for Language Image Pre-Training LLaMA: Open and Efficient Foundation Language Models

Reference 45

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local_arxiv, observed 2026-05-16T13:05:36.504611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation a3bb645b-29ee-410d-9b6c-d7a271ec8a04 · inbound

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention cites this paper.

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention LLaMA: Open and Efficient Foundation Language Models

Reference 173

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local_arxiv, observed 2026-05-14T23:07:42.700773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 01dc0dd8-4bb9-467a-a1de-c1bf539f84f8 · inbound

BloombergGPT: A Large Language Model for Finance cites this paper.

BloombergGPT: A Large Language Model for Finance LLaMA: Open and Efficient Foundation Language Models

Reference 120

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local_arxiv, observed 2026-05-13T23:19:46.852067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:7a686c9559c736ffe0a0dad661f02ea3bf453ef2ecbd8b97577cd185d45c6621

Observation e4cd8ae1-5296-4d74-b6c5-0afae89a7f94 · inbound

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face cites this paper.

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face LLaMA: Open and Efficient Foundation Language Models

Reference 6

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verified exact
local_arxiv, observed 2026-05-14T00:06:45.519853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-14T00:06:45.440071Z digest=sha256:9163f66cb9cf7fee5a8d63afc47c0f545402675ac234b0cdb6f781931e70fc5c

Observation c2cc5c19-a296-476d-8d32-e311f9b40ea1 · inbound

Self-Refine: Iterative Refinement with Self-Feedback cites this paper.

Self-Refine: Iterative Refinement with Self-Feedback LLaMA: Open and Efficient Foundation Language Models

Reference 47

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local_arxiv, observed 2026-05-10T20:47:39.630357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T20:47:39.476572Z digest=sha256:59e5d1d818219a5ea832b34e4c6ab0e08bb0af223d6551007a0507101767b07d

Observation 3a25c5b6-9c97-4608-a855-8a62eeb09964 · inbound

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society cites this paper.

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society LLaMA: Open and Efficient Foundation Language Models

Reference 117

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local_arxiv, observed 2026-05-14T01:40:53.797736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-14T01:40:53.351795Z digest=sha256:ad06109829190c53a45f4c648b4b0b6eba947e0b5996f871e0e5237fab8a5c42

Observation 23eeaafc-130a-4913-a4a5-193f27350f22 · inbound

Instruction Tuning with GPT-4 cites this paper.

Instruction Tuning with GPT-4 LLaMA: Open and Efficient Foundation Language Models

Reference 11

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local_arxiv, observed 2026-05-14T17:04:18.124763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-14T17:04:08.782586Z digest=sha256:0aac369dfbb4449daedae4a842746270f7d3fda97ba9cb94624f353f3ca58e6a

Observation 9bf6514a-5cf1-4f39-86fb-05d3c8f08353 · inbound

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models cites this paper.

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models LLaMA: Open and Efficient Foundation Language Models

Reference 73

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local_arxiv, observed 2026-05-16T10:03:59.366393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-16T10:03:58.971585Z digest=sha256:cb3445f7bc7959b9d2aa8deb8d27b874ae31789783a0ee2851eb9319f32509f0

Observation 182a0b03-f9d3-4085-9288-b1bd1c4b76a8 · inbound

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment cites this paper.

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment LLaMA: Open and Efficient Foundation Language Models

Reference 99

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local_arxiv, observed 2026-05-18T00:46:56.907527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-18T00:46:56.664582Z digest=sha256:3cf2ac0962ab763e9002f30714b6f7ac7230ffef652e264142b24b17594ac7be

Observation 6ed76909-00b3-40a8-8b28-c91d7db6b4b7 · inbound

DINOv2: Learning Robust Visual Features without Supervision cites this paper.

DINOv2: Learning Robust Visual Features without Supervision LLaMA: Open and Efficient Foundation Language Models

Reference 24

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local_arxiv, observed 2026-05-09T04:17:20.350896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ba776283-7bd2-4bbc-bf83-38c71dffbe25 · inbound

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs cites this paper.

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs LLaMA: Open and Efficient Foundation Language Models

Reference 17

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local_arxiv, observed 2026-05-15T20:51:41.259217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T20:51:41.198767Z digest=sha256:33e665275ca76e43b746e95915c06af48feecea4e6c25592c371fcad9c8d3cc6

Observation f1d9599e-9cc4-4952-a236-07e9cfa39f9d · inbound

Visual Instruction Tuning cites this paper.

Visual Instruction Tuning LLaMA: Open and Efficient Foundation Language Models

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-11T08:22:03.567016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-11T08:22:03.403362Z digest=sha256:3febe698fb8fb768c2bef06b6d54c8be791a6dd4df0deac23bce68121754d40a

Observation bf8d7207-cc37-467b-8834-255e182832cb · inbound

MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models cites this paper.

MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 19

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verified exact
local_arxiv, observed 2026-05-10T20:37:01.981462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T20:37:01.617345Z digest=sha256:623b95c2725b0780b47201c4ea97c65f1369e2e6b1ebec791340369f0f9e450d

Observation 8c52659f-b0b7-45ee-9823-9f1c426c8b11 · inbound

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency cites this paper.

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency LLaMA: Open and Efficient Foundation Language Models

Reference 31

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verified exact
local_arxiv, observed 2026-05-14T18:36:18.629886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation a071d0b7-4543-49db-8034-eb5e6c4f078a · inbound

WizardLM: Empowering large pre-trained language models to follow complex instructions cites this paper.

WizardLM: Empowering large pre-trained language models to follow complex instructions LLaMA: Open and Efficient Foundation Language Models

Reference 39

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verified exact
local_arxiv, observed 2026-05-13T07:28:24.947476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-13T07:28:24.827546Z digest=sha256:74f8b2d2c6d7247afcc2ce46e0bc67a48fe11047ce5684020d7d68ed426c3514

Observation f7883de6-9577-4d88-a56c-ef3b9b8c50b3 · inbound

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality cites this paper.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality LLaMA: Open and Efficient Foundation Language Models

Reference 13

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local_arxiv, observed 2026-05-24T09:04:15.097534Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e25592b2-0789-4fae-aa43-f3b4ef2134ad · inbound

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model cites this paper.

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model LLaMA: Open and Efficient Foundation Language Models

Reference 63

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local_arxiv, observed 2026-05-15T08:41:04.836873Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 925d885a-7a03-4a52-b778-648bf758cb23 · inbound

Otter: A Multi-Modal Model with In-Context Instruction Tuning cites this paper.

Otter: A Multi-Modal Model with In-Context Instruction Tuning LLaMA: Open and Efficient Foundation Language Models

Reference 84

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local_arxiv, observed 2026-05-15T02:43:47.868345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T02:43:47.775691Z digest=sha256:4fdb57da40372c7eeb2753323e3863adaa80f1a4c86bfaea5783407186f13b8f

Observation 6a3b4aab-66ec-4573-8d99-43b2f9181ace · inbound

FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance cites this paper.

FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance LLaMA: Open and Efficient Foundation Language Models

Reference 20

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metadata mismatch
local_arxiv, observed 2026-05-11T19:56:45.400217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-11T19:56:45.348973Z digest=sha256:4feb2ebae8aa208805b175f1d94550ca0e1f52de1a5fe5a23631e4b4b9a4a669

Observation 1f262853-7f4b-4c03-8e99-a15cef91dfcc · inbound

StarCoder: may the source be with you! cites this paper.

StarCoder: may the source be with you! LLaMA: Open and Efficient Foundation Language Models

Reference 102

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verified exact
local_arxiv, observed 2026-05-10T23:33:00.653550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T23:32:59.517389Z digest=sha256:4780c89d81e24ebb427ea3e022b133bbe0c42715b83c26419ede938ec49e02de

Observation c1539f79-b1e3-49b0-a27e-acefe3128c87 · inbound

VideoChat: Chat-Centric Video Understanding cites this paper.

VideoChat: Chat-Centric Video Understanding LLaMA: Open and Efficient Foundation Language Models

Reference 42

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local_arxiv, observed 2026-05-13T23:30:00.639179Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T23:30:00.457974Z digest=sha256:2ac81fa7d260799a50534be5bdfe3fe347f8995ba8ac3f5b24cb25a8cc7d5e71

Observation b7ee9de2-b464-4018-9f7d-fc06b2bd6bd2 · inbound

InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning cites this paper.

InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning LLaMA: Open and Efficient Foundation Language Models

Reference 41

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local_arxiv, observed 2026-05-13T02:13:52.174812Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e4bb3035-939f-4f16-9c56-d636cfac8420 · inbound

OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models cites this paper.

OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models LLaMA: Open and Efficient Foundation Language Models

Reference 3

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local_arxiv, observed 2026-05-17T09:55:35.613195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 116be077-87e0-452c-9bc8-7b130a64b064 · inbound

CodeT5+: Open Code Large Language Models for Code Understanding and Generation cites this paper.

CodeT5+: Open Code Large Language Models for Code Understanding and Generation LLaMA: Open and Efficient Foundation Language Models

Reference 29

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local_arxiv, observed 2026-05-19T05:26:57.511525Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T05:26:57.440959Z digest=sha256:8b6355731e5fc19800350a7293839c78dbcf4a6101ea03ecde20577df048365c

Observation b31109a4-7a57-485a-acc7-07f96239545c · inbound

MemoryBank: Enhancing Large Language Models with Long-Term Memory cites this paper.

MemoryBank: Enhancing Large Language Models with Long-Term Memory LLaMA: Open and Efficient Foundation Language Models

Reference 7

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verified exact
local_arxiv, observed 2026-05-16T07:18:09.055765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1ba74a4d-ca17-4630-a38c-b2c1578782fc · inbound

Evaluating Object Hallucination in Large Vision-Language Models cites this paper.

Evaluating Object Hallucination in Large Vision-Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 33

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verified exact
local_arxiv, observed 2026-05-11T13:44:09.976415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T13:44:09.626361Z digest=sha256:427e1139d6a3c37f09380a067c4e5435a2acb84130fb0cac852e1b50aeb887fa

Observation 9baa9ef5-2140-45fe-b4a9-ab69802e6551 · inbound

PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering cites this paper.

PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering LLaMA: Open and Efficient Foundation Language Models

Reference 54

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verified exact
local_arxiv, observed 2026-05-15T23:08:21.810645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T23:08:21.673251Z digest=sha256:3a52cbe983e493d4d5223ae7ae8d95fce87f45d9bb795526cf4f9e7ae6b0df90

Observation e42ef48b-7b05-4541-a6ea-dc92378c3357 · inbound

Tree of Thoughts: Deliberate Problem Solving with Large Language Models cites this paper.

Tree of Thoughts: Deliberate Problem Solving with Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 33

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local_arxiv, observed 2026-05-11T15:36:43.024432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-11T15:36:42.284829Z digest=sha256:d13477027dcdcbbbd7b463d326ecfb8f4b583f728595554617318e608139953f

Observation 54ce4ea6-bb23-4a52-870e-d6ea2553b467 · inbound

LIMA: Less Is More for Alignment cites this paper.

LIMA: Less Is More for Alignment LLaMA: Open and Efficient Foundation Language Models

Reference 50

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verified exact
local_arxiv, observed 2026-05-17T11:34:12.948662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-17T11:34:12.854281Z digest=sha256:f6d1dc1079d0cba0a68e5eba7e74acc629059797ea0140c253e3712728884298

Observation 29f4b28f-a714-4de9-8faa-0b845fee3af3 · inbound

GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints cites this paper.

GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints LLaMA: Open and Efficient Foundation Language Models

Reference 58

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verified exact
local_arxiv, observed 2026-05-11T06:53:59.425471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T06:53:58.960357Z digest=sha256:aad69de8333f364d24897be06ef69133f42749f84da3e3a1a67e3a9b176b716d

Observation 0f5e0480-7ba5-4cc4-a91c-63d8019f4728 · inbound

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations cites this paper.

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations LLaMA: Open and Efficient Foundation Language Models

Reference 259

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verified exact
local_arxiv, observed 2026-05-15T17:25:08.156303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-15T17:25:07.730933Z digest=sha256:54bf5303945a9fc81696c0e96ea55b96ce69c61b89d21ecb597d1cc6effbf6c4

Observation 81b35f84-bb76-4235-b141-2d528622fc12 · inbound

QLoRA: Efficient Finetuning of Quantized LLMs cites this paper.

QLoRA: Efficient Finetuning of Quantized LLMs LLaMA: Open and Efficient Foundation Language Models

Reference 57

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local_arxiv, observed 2026-05-11T13:29:53.683716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-11T13:29:53.345251Z digest=sha256:9ee35e5be21025de15f3db02feec281d8b46f2289136b579dbcf91db3b4c6890

Observation ca8e0199-a56b-40c3-aca8-b36e690e29b0 · inbound

Reasoning with Language Model is Planning with World Model cites this paper.

Reasoning with Language Model is Planning with World Model LLaMA: Open and Efficient Foundation Language Models

Reference 68

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T01:49:29.070788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-17T01:49:28.796581Z digest=sha256:3dc9bb91d00c63c8e6a145ff770b4d7930f4c0f601bc60cd9e760fa07a03eaf7

Observation 7a15cd7e-bf13-4eda-85fc-ac9c63144bf0 · inbound

Gorilla: Large Language Model Connected with Massive APIs cites this paper.

Gorilla: Large Language Model Connected with Massive APIs LLaMA: Open and Efficient Foundation Language Models

Reference 40

Resolution
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local_arxiv, observed 2026-05-11T23:22:17.148552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-11T23:22:16.879418Z digest=sha256:7a39d36e43f20a7a0fe6abcf8d556e510a51bb84ea797ae0b24ba399bb59c8ee

Observation f6409761-71e0-4dbd-b535-ac141f35fde8 · inbound

The False Promise of Imitating Proprietary LLMs cites this paper.

The False Promise of Imitating Proprietary LLMs LLaMA: Open and Efficient Foundation Language Models

Reference 253

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T06:54:31.466840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-18T06:54:31.175090Z digest=sha256:ef014bf6d747f3cb30a05acea1ec8a5ebf04a04c0230157eee859871d12f4fa4

Observation a8413f70-ea83-47e4-87bb-b0b384213e48 · inbound

Scaling Data-Constrained Language Models cites this paper.

Scaling Data-Constrained Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 118

Resolution
verified exact
local_arxiv, observed 2026-05-18T01:35:21.419623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T01:35:21.150772Z digest=sha256:636338040fa8db5f02381f6f3782b21cb966c4333fa78ed355d0a9fc5b669fb3

Observation ca1da34e-b6b4-408d-9adf-06e8f0d2468a · inbound

Voyager: An Open-Ended Embodied Agent with Large Language Models cites this paper.

Voyager: An Open-Ended Embodied Agent with Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-05-10T13:11:41.193800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T13:11:40.995345Z digest=sha256:d499017abeb19516b557064ab4e9549473f2701415c0823651e1ee27a1c67928

Observation 13ab6ce6-78c9-4f55-86ad-2ce94b02389f · inbound

PandaGPT: One Model To Instruction-Follow Them All cites this paper.

PandaGPT: One Model To Instruction-Follow Them All LLaMA: Open and Efficient Foundation Language Models

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-05-16T09:01:37.141206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T09:01:37.096206Z digest=sha256:71a7dfde4518f9a706eacfa91fbc1e50433e94ad04b165c443b05a65e3cb8b42

Observation 25f533da-64e8-4d86-a69f-a615ac75a5e2 · inbound

Direct Preference Optimization: Your Language Model is Secretly a Reward Model cites this paper.

Direct Preference Optimization: Your Language Model is Secretly a Reward Model LLaMA: Open and Efficient Foundation Language Models

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-11T02:33:28.298866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-11T02:33:28.149013Z digest=sha256:276350102af0e4f438e3b759d0113aba3ba36af90b0fa7db4d94e4fcbe61f897

Observation 79b0d24e-b1c9-4ae1-b3a1-ba8796544260 · inbound

ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models cites this paper.

ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-15T18:15:55.792055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T18:15:55.525596Z digest=sha256:1a3ef632ccf542ac3e3ff222388dc22f58cac83a1774466d59b08cccb47e9ed0

Observation d89a618c-019d-41ad-9618-42a5cbd4fdba · inbound

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day cites this paper.

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day LLaMA: Open and Efficient Foundation Language Models

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-24T08:34:11.756745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-24T08:33:16.436778Z digest=sha256:97a3dbc33485b28e5d383a39f53dbc2ca588a3340e514a9cacbbea51259cda67

Observation 4b849f4d-0d8c-442c-8bf4-c1e84e66f396 · inbound

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration cites this paper.

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration LLaMA: Open and Efficient Foundation Language Models

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-24T08:29:11.297948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-24T08:27:35.798991Z digest=sha256:448e1ec0de96a2b52173d2c760611674e0de8e58597de21ef832f4969cf4bbf1

Observation 81e6dc25-57c7-414e-bb6b-114d215f95fd · inbound

The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only cites this paper.

The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only LLaMA: Open and Efficient Foundation Language Models

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-13T20:43:45.878865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T20:43:45.770157Z digest=sha256:e65a1d69668017ded1c673024f305c6b8709a9ba71528a8e2be56ac87294777c

Observation 5a6bd625-19ff-44cc-9234-6451522853e0 · inbound

Orca: Progressive Learning from Complex Explanation Traces of GPT-4 cites this paper.

Orca: Progressive Learning from Complex Explanation Traces of GPT-4 LLaMA: Open and Efficient Foundation Language Models

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-15T09:42:05.298251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T09:42:05.268897Z digest=sha256:43ca24ba270c30f3423cf55df716766527b39d6e87ea63b2624686830c41d80b

Observation 3cadcbb3-1639-48e5-92bf-2a25d8238b8d · inbound

RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems cites this paper.

RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems LLaMA: Open and Efficient Foundation Language Models

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-15T22:29:52.596952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T22:29:52.457841Z digest=sha256:42111a2bf5927a3a76e247fc0597c9e8b5a7b571ea9fd4a3a2c6f854a585c533

Observation 8e43f029-b841-49c5-a094-a92ccf4dbcbe · inbound

Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents cites this paper.

Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents LLaMA: Open and Efficient Foundation Language Models

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-24T07:49:08.321041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-24T07:48:42.572571Z digest=sha256:dd284917cd5aa6db5d20f3e69e3d2b2509f1bf94308b1c6671ecfdbe8ae4a1ed

Observation b379bdfb-6423-4660-acf0-23794153ae71 · inbound

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena cites this paper.

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena LLaMA: Open and Efficient Foundation Language Models

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-10T18:52:59.117544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:52:59.033645Z digest=sha256:f089833a1a6f3ae211ddeb30e06f6c2f49dad408bcae62f8591fd59b6738e1eb

Observation 052bb9db-4947-40bc-9784-d46b2d8b6493 · inbound

MiniLLM: On-Policy Distillation of Large Language Models cites this paper.

MiniLLM: On-Policy Distillation of Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-12T17:40:27.970374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T17:40:27.827493Z digest=sha256:c6ba9b4675bdbb987253a36265ac6993309c0192d2172aa03adf36cc10f3a931

Observation 5064f652-a8d5-420c-8bd4-ed43a466d5ec · inbound

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models cites this paper.

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-10T20:25:34.128735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T20:25:33.854923Z digest=sha256:b37a07b25038daa3a12ea269e3365da9a619a078b67946e578459e36eea0c623

Observation 69e81970-6ed2-405c-9f61-98a76d0f59c8 · inbound

A Survey on Multimodal Large Language Models cites this paper.

A Survey on Multimodal Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-16T02:56:42.264075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T02:56:41.658658Z digest=sha256:781aba131af42ad2484c321596c2bdbf4a5792b98466b79ee332aaa9e18527da

Observation 6060d875-e1e8-443b-a5fe-02b7e5d77e48 · inbound

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models cites this paper.

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-17T18:00:50.496470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T18:00:50.053377Z digest=sha256:e84deb0b961ed27c730689c0a22df1397857ec27b6531c808c86bf0bed783a12

Observation 1ec133d6-bbe6-459d-a933-1e7e38e7ad4d · inbound

Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning cites this paper.

Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning LLaMA: Open and Efficient Foundation Language Models

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-14T17:34:56.979211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-14T17:34:56.836034Z digest=sha256:d194fb8f35638e1a6238b372c291f945d0aef567ccf445dea29b060853bfe42c

Observation 0f8420c9-a2f9-4ba8-91be-4b9a11058abc · inbound

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis cites this paper.

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis LLaMA: Open and Efficient Foundation Language Models

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-05-10T15:22:03.631550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:22:03.530707Z digest=sha256:6c2a5160a04692bcac4b2dea4c55f0d3c11ba12cf22f109d4b5c99685066a6fa

Observation 8c75b798-b3e1-4489-ab0a-e23faef0efde · inbound

Secrets of RLHF in Large Language Models Part I: PPO cites this paper.

Secrets of RLHF in Large Language Models Part I: PPO LLaMA: Open and Efficient Foundation Language Models

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-17T13:17:42.968020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T13:17:42.848578Z digest=sha256:4b366859f8bd93ed419fba3a39bd8156143d2ff112d7f37643f2d9e2eb141fc0

Observation 419cb35b-eb1a-428d-b747-263d93f1517a · inbound

Objaverse-XL: A Universe of 10M+ 3D Objects cites this paper.

Objaverse-XL: A Universe of 10M+ 3D Objects LLaMA: Open and Efficient Foundation Language Models

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-05-17T13:02:11.698764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T13:02:11.512409Z digest=sha256:cdced2499ab0aeae9fba0a6922eb6dcb280cdda2a2cf6f10176669c226c19f81

Observation 9bcdac8d-0a52-499d-8dd7-f8470a363b97 · inbound

MMBench: Is Your Multi-modal Model an All-around Player? cites this paper.

MMBench: Is Your Multi-modal Model an All-around Player? LLaMA: Open and Efficient Foundation Language Models

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-12T17:20:53.847876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T17:20:53.687692Z digest=sha256:b4e95d4e38efc535ae12182ac51ff88ff934e26ef99f6aa2c2b027416cf994cb

Observation 45a8bd36-98b1-4fbb-a218-75bf545c493d · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 127

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local_arxiv, observed 2026-05-19T20:28:39.427457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:9322a71bf067c5849f30ce2259b53265c6b29353ec174b0631e22a16cf5a0fac

Observation 1b78e4fb-e7b9-4fe3-8703-badfc45e03f5 · inbound

S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents cites this paper.

S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents LLaMA: Open and Efficient Foundation Language Models

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-17T11:28:31.076029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T11:28:31.038835Z digest=sha256:3f42c9566f08f0752cb9f3792528bdf20e02086024a740c32ed52f4f795797ad

Observation c850d1c2-6b56-4ba3-89f7-0d5963b4c006 · inbound

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension cites this paper.

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension LLaMA: Open and Efficient Foundation Language Models

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-12T16:59:50.602560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T16:59:50.495335Z digest=sha256:2896b2d216e0a949d9ddf05cb56edf032cd1cf3060a81d231ffe4ce927d6b610

Observation c61f6fb7-4e95-4ab1-ac5d-45fea9886ba3 · inbound

Towards General Text Embeddings with Multi-stage Contrastive Learning cites this paper.

Towards General Text Embeddings with Multi-stage Contrastive Learning LLaMA: Open and Efficient Foundation Language Models

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-05-12T03:33:45.980490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T03:33:45.855974Z digest=sha256:7cf23c1929c2dd31a31e2b2ec7cdd6c97c7b479ee1f201b6b6f895883186e613

Observation a29acc8f-495b-4f39-b6a2-8aa401bdcfbd · inbound

"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models cites this paper.

"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 81

Resolution
verified exact
local_arxiv, observed 2026-05-17T08:39:28.130745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T08:39:28.047394Z digest=sha256:c389484bd15ed6967b0845e4e2ae5568fefe5850c8b5b0cf51637d87f64a5b5e

Observation ccd1ba1a-16fe-4a02-b2b1-c6cebdab67af · inbound

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning cites this paper.

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning LLaMA: Open and Efficient Foundation Language Models

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-18T08:26:42.020870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T08:26:41.953873Z digest=sha256:b3e0a2c4f439390f259c43ac408142c09e4e013ef10d8294da02293822dcab37

Observation ccb97f44-992b-42ff-a7f9-987ceee1aaad · inbound

Steering Language Models With Activation Engineering cites this paper.

Steering Language Models With Activation Engineering LLaMA: Open and Efficient Foundation Language Models

Reference 75

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T00:14:14.793759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T00:14:14.079351Z digest=sha256:960b00db39928d62190f70f208fae793180336f0f82f3aa87a4bd4c736058950

Observation 29ae815b-e91d-423e-bef1-168d188d777d · inbound

A Survey on Large Language Model based Autonomous Agents cites this paper.

A Survey on Large Language Model based Autonomous Agents LLaMA: Open and Efficient Foundation Language Models

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-15T04:03:01.172188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T04:03:00.340349Z digest=sha256:01632e703e02b3ca19a0a8fe49f1be844d212744d21c4e25a888dea7fdeab76c

Observation 64e6c7ba-3be3-4bf3-9837-b565a4cde3d0 · inbound

MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets cites this paper.

MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets LLaMA: Open and Efficient Foundation Language Models

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-24T08:14:10.197925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-24T08:13:18.191233Z digest=sha256:1b206a29d75ae4de933254ea4573acd1a462e79d07deee425ad66de63d5825d8

Observation 335f38b8-aa58-488b-a1b0-9da64f61fda9 · inbound

YaRN: Efficient Context Window Extension of Large Language Models cites this paper.

YaRN: Efficient Context Window Extension of Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-12T06:46:51.294354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T06:46:50.042423Z digest=sha256:1f25e3ee021b8f3bf0ec2e32d13bafee385d6841ed4648b4501f5cae72861284

Observation cd1c6d65-0c29-4954-9580-36454bfc235f · inbound

Baseline Defenses for Adversarial Attacks Against Aligned Language Models cites this paper.

Baseline Defenses for Adversarial Attacks Against Aligned Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-05-13T23:24:40.227242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-13T23:24:39.835347Z digest=sha256:93d21677fd88e9a22aa9fcf185920e76b5b245ba0215466f83291e3fd45dc1a7

Observation 610b107d-c1df-44b9-a184-b34a4fe04389 · inbound

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models cites this paper.

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 25

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T14:21:16.581663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T14:21:16.453610Z digest=sha256:1b8908f7ca0ac2eb7a1109591d42d6297d860a5c3c53876cf69021b3169bb944

Observation 4dd317bb-9fd9-469f-ac87-60e9121e2b16 · inbound

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models cites this paper.

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 55

Resolution
metadata mismatch
local_arxiv, observed 2026-05-16T13:21:24.370001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-16T13:21:24.297836Z digest=sha256:112800e5c93332f433356f494ac9f75232979231e2b2415bdb47f3f85eac0d78

Observation 05e85be0-fff4-4097-b11e-75b1793215d9 · inbound

Textbooks Are All You Need II: phi-1.5 technical report cites this paper.

Textbooks Are All You Need II: phi-1.5 technical report LLaMA: Open and Efficient Foundation Language Models

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-14T19:18:01.301228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-14T19:18:01.244364Z digest=sha256:4809c35af1ea75e0ba100419870b8d100a6a43064ed9124c46aba9f2724f7e66

Observation cd1c8b76-b5b9-4054-9a12-b4a319fec5bd · inbound

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning cites this paper.

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning LLaMA: Open and Efficient Foundation Language Models

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-17T23:46:39.469416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-17T23:46:39.330438Z digest=sha256:50067b3fa0b08d677525a37f4862a3bd77fc06e843d62abf0bb978c9095e032e

Observation de824d39-9fec-4db7-a986-6488efe2b97a · inbound

A Survey of Hallucination in Large Foundation Models cites this paper.

A Survey of Hallucination in Large Foundation Models LLaMA: Open and Efficient Foundation Language Models

Reference 85

Resolution
metadata mismatch
local_arxiv, observed 2026-05-16T15:21:00.917942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-16T15:21:00.778049Z digest=sha256:118213421e9b417140ade0b67c9a3deae85bf73adfe7604054f527170acf18f1

Observation fd745b65-5172-4485-b2fd-d57ee7c8f11e · inbound

Efficient Memory Management for Large Language Model Serving with PagedAttention cites this paper.

Efficient Memory Management for Large Language Model Serving with PagedAttention LLaMA: Open and Efficient Foundation Language Models

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-05-12T15:03:07.731206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T15:03:07.651839Z digest=sha256:210319a6db302a10d3d6a1fd2dd608005b635e3d8bc06f9f6f64964bdd645db1

Observation 0e9d1155-9de9-41ba-bcd1-0b5c81e16d27 · inbound

Efficient Finite Initialization with Partial Norms for Tensorized Neural Networks and Tensor Networks Algorithms cites this paper.

Efficient Finite Initialization with Partial Norms for Tensorized Neural Networks and Tensor Networks Algorithms LLaMA: Open and Efficient Foundation Language Models

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:29:00.673897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-24T06:28:33.255228Z digest=sha256:b9bd2606f26f9724227a7de145536f19ff105b3f89c2ee3f7a602607b715922f

Observation 766d7961-3e59-44b0-84f3-5946984e84fb · inbound

The Rise and Potential of Large Language Model Based Agents: A Survey cites this paper.

The Rise and Potential of Large Language Model Based Agents: A Survey LLaMA: Open and Efficient Foundation Language Models

Reference 202

Resolution
verified exact
local_arxiv, observed 2026-05-11T10:47:47.039352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-11T10:47:44.152066Z digest=sha256:5d776165e69b55b8cd75be28234cbdfcda5fe53951c2b1a615f981ffee5c3201

Observation 689e8ef0-b4b1-4188-be41-0d874317b683 · inbound

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers cites this paper.

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers LLaMA: Open and Efficient Foundation Language Models

Reference 147

Resolution
metadata mismatch
local_arxiv, observed 2026-05-16T06:11:49.643599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-16T06:11:49.475825Z digest=sha256:d01828becd1aa9f30235e58129cfeec83206efb2cb56df5f481922c19c9b4148

Observation ec31c3d1-384c-47c6-979e-11ead520771f · inbound

Baichuan 2: Open Large-scale Language Models cites this paper.

Baichuan 2: Open Large-scale Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 70

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.550253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:1e8d10defa2ba5e47fce5da7cce8d3ac389ef0170b04cdefbd54a0c961cd3758

Observation ef3787fa-f2c1-4457-a7b0-677b03202cae · inbound

Language Modeling Is Compression cites this paper.

Language Modeling Is Compression LLaMA: Open and Efficient Foundation Language Models

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-17T22:36:13.417078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T22:36:13.392250Z digest=sha256:5877d430ac2840e509c1520769cca0f825a725245a1e3a2025021d55add55e3b

Observation 9af5aadc-73b5-4a4b-8111-46b1d139f96c · inbound

Chain-of-Verification Reduces Hallucination in Large Language Models cites this paper.

Chain-of-Verification Reduces Hallucination in Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 183

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T01:06:50.224237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:8bdc625aacb563e8508ed3cb3008a21d456d2d893aabb8c1e5a143f9cd7a93db

Observation 811ca10f-e44a-4a57-b2ab-f2203d227049 · inbound

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models cites this paper.

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-05-13T10:07:53.837474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T10:07:53.748795Z digest=sha256:995bee8b3bb8cd19c0e872f12cea869f9858d4376fb8f89619b2df713bee8250

Observation 452edece-9060-4e6c-b469-858ea0fc152e · inbound

Aligning Large Multimodal Models with Factually Augmented RLHF cites this paper.

Aligning Large Multimodal Models with Factually Augmented RLHF LLaMA: Open and Efficient Foundation Language Models

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-05-15T17:58:17.765142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T17:58:17.699042Z digest=sha256:bff52cf9eb221ca4586b3b139b24608109e710643b52b22724aca9bf9eafc19c

Observation 5b0306f7-dae1-4fb2-9067-826e6d9cf472 · inbound

The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision) cites this paper.

The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision) LLaMA: Open and Efficient Foundation Language Models

Reference 123

Resolution
verified exact
local_arxiv, observed 2026-05-15T23:26:06.341975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T23:26:06.183574Z digest=sha256:17684194868fc03d689d3f86b8217b67846bd00ed3ba61b80553a9e93d640f6a

Observation b7ef0fe8-c642-481b-8d27-94ee3ca697dc · inbound

ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving cites this paper.

ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving LLaMA: Open and Efficient Foundation Language Models

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-19T09:19:36.174666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-19T09:19:35.918151Z digest=sha256:028d0d035d177bcf96fc78261c046ee71a5158097ae3166aa7e58738c0afb929

Observation 26118f80-0eac-44e5-b996-548c821c3431 · inbound

Efficient Streaming Language Models with Attention Sinks cites this paper.

Efficient Streaming Language Models with Attention Sinks LLaMA: Open and Efficient Foundation Language Models

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-05-11T00:40:13.366348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T00:40:12.924357Z digest=sha256:7278e4f0ca4db6bc99a15038373e3158b3ba260159a7e822f4deabeff7fdc98d

Observation e0722b23-8a44-4d81-9ddc-8843e4926c5e · inbound

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models cites this paper.

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-17T22:46:52.902254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T22:46:52.791128Z digest=sha256:cdde022e7b78e6020d40928f30a0c9267139ec4713f12bd4d4962c4a450965f4

Observation 82c2a2c9-e16b-44a8-a636-680d03190e85 · inbound

GPT-Driver: Learning to Drive with GPT cites this paper.

GPT-Driver: Learning to Drive with GPT LLaMA: Open and Efficient Foundation Language Models

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-15T15:05:31.999023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T15:05:31.928650Z digest=sha256:cd8c78ecf5733730af739dc56c2b54ad63994195f4bab13554a196cabd453236

Observation 19ad8b55-b3bc-41cb-9c62-a5f6679ac4e4 · inbound

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models cites this paper.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 110

Resolution
verified exact
local_arxiv, observed 2026-05-16T16:03:17.126436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-16T16:03:17.015913Z digest=sha256:ba8ad491fa97cf4b8273203b3fddb45c4e064911bf1234f2d34c7ff338a9ea3e

Observation c4671c0b-89f9-4c41-a07f-dc897930571c · inbound

Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs cites this paper.

Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs LLaMA: Open and Efficient Foundation Language Models

Reference 97

Resolution
verified exact
local_arxiv, observed 2026-05-17T11:11:21.731101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-17T11:11:21.460613Z digest=sha256:d05c5e5aa9a8f6e2f98b7e263f70c480e5f04211fee794c0ef7c46508e35100d

Observation ba432218-57eb-435f-966a-dcc2bffbd4b6 · inbound

Ring Attention with Blockwise Transformers for Near-Infinite Context cites this paper.

Ring Attention with Blockwise Transformers for Near-Infinite Context LLaMA: Open and Efficient Foundation Language Models

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-12T19:28:28.308027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T19:28:28.201789Z digest=sha256:b8d53f9689c17dab2e15479ad4d7952c9a51b15b90b71392fad01c682bc294b3

Observation 87dc1a4c-9098-483f-91f7-6fd1debd2601 · inbound

Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation cites this paper.

Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation LLaMA: Open and Efficient Foundation Language Models

Reference 245

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T20:06:44.721137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-13T20:06:44.480769Z digest=sha256:69a6e6b7d4378718d090267719401f8accb5c01f45847c03890bac790cefc181

Observation b72bdd13-8ae8-42e7-86ff-d06a0a673c16 · inbound

Mistral 7B cites this paper.

Mistral 7B LLaMA: Open and Efficient Foundation Language Models

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:14:00.140681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-24T06:11:38.406350Z digest=sha256:28dc53e49549feb9da53c9b723bb0a6d36c0b68a8d01e52079229a1ab783f8dd

Observation 9cf8debf-37b5-4a1f-bab5-3ed1b4f95a8f · inbound

Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation cites this paper.

Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation LLaMA: Open and Efficient Foundation Language Models

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-16T22:00:51.579671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T22:00:51.487120Z digest=sha256:63e8e4ecde47da97e56cd1c1a561f8768fc7fd63d5f0bbbad0ac51722632f5d3

Observation d6f55626-8f77-403c-8fe0-fe67bf4873b9 · inbound

MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning cites this paper.

MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning LLaMA: Open and Efficient Foundation Language Models

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-05-16T07:13:08.979055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T07:13:08.867745Z digest=sha256:7e3d4f570754df2b641220fefd44a49fc6a0c1b81d71af16e2438d064d30e1eb

Observation 498d8d79-2c8e-4bf1-8255-5ddf50596bfb · inbound

Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models cites this paper.

Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:13:59.983434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-24T06:12:38.139005Z digest=sha256:a55fbe22956b30014261cf0fc9a0cd61b71f4ea62fc801f488ba25b53fc09817

Observation 5ad7fe3e-fa07-4cbd-b848-773d11dff9ba · inbound

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V cites this paper.

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V LLaMA: Open and Efficient Foundation Language Models

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-12T14:01:49.976581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T14:01:49.854238Z digest=sha256:b42e8a7d68a6a98335d7c7aaa111225dfaeebfa82ff982144e239ed8ccb41874

Observation cd2d8663-1027-468e-a0d3-1b28cffbea3e · inbound

BitNet: Scaling 1-bit Transformers for Large Language Models cites this paper.

BitNet: Scaling 1-bit Transformers for Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-24T05:43:56.606858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-24T05:41:15.544164Z digest=sha256:1970e0ea4500bd70ef3cb7fdf3bb932de65872aadfc1fff69b0074755638abd1

Observation a451df18-102f-4458-bc82-6477ad0d142a · inbound

SALMONN: Towards Generic Hearing Abilities for Large Language Models cites this paper.

SALMONN: Towards Generic Hearing Abilities for Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-05-18T02:29:46.410716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-18T02:29:46.242983Z digest=sha256:9682b7a9a0f227ca4fbfc3fe885ef29c1c0b40462e04201aa88577c269284df9

Observation 94200b70-35e9-46c1-921d-445fb1334c6d · inbound

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models cites this paper.

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-17T01:22:04.150954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T01:22:04.035994Z digest=sha256:34cf32bc74809ad9b3f6d3359a60904e00baebdeca44634c44d09dd49191c985

Observation 6aee3762-ed78-427b-8555-61dd08003d48 · inbound

Detecting Pretraining Data from Large Language Models cites this paper.

Detecting Pretraining Data from Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 95

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T18:07:24.693013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-17T18:07:24.533329Z digest=sha256:6a37b6c7730e33c5578b7d1b72a614659453e9c14a65cd90a9d2e2ee0940692d