Scaling Instruction-Finetuned Language Models | Paper Citation Record

Observation b4fda3d0-e23d-4ecf-a1c4-9f8fbf3a0a32 · inbound

Emergent Abilities of Large Language Models cites this paper.

Emergent Abilities of Large Language Models Scaling Instruction-Finetuned Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:23:37.463337Z

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BLOOM: A 176B-Parameter Open-Access Multilingual Language Model cites this paper.

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model Scaling Instruction-Finetuned Language Models

Reference 219

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Observation 71af7b54-ecd6-439f-8a3c-242f5a776850 · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science Scaling Instruction-Finetuned Language Models

Reference 90

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Observation 23924010-125f-4165-909e-178cde50a309 · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science Scaling Instruction-Finetuned Language Models

Reference 154

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BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models cites this paper.

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models Scaling Instruction-Finetuned Language Models

Reference 4

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Observation 7a079e51-ccf6-4146-bc1e-045b2e9b2e5b · inbound

REPLUG: Retrieval-Augmented Black-Box Language Models cites this paper.

REPLUG: Retrieval-Augmented Black-Box Language Models Scaling Instruction-Finetuned Language Models

Reference 92

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Observation 2c0d5a16-c27b-4b8b-9306-1d1badee10fd · inbound

Multimodal Chain-of-Thought Reasoning in Language Models cites this paper.

Multimodal Chain-of-Thought Reasoning in Language Models Scaling Instruction-Finetuned Language Models

Reference 9

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Observation e9270aa7-fd45-4bd9-9d88-efda65dcfb6a · inbound

ART: Automatic multi-step reasoning and tool-use for large language models cites this paper.

ART: Automatic multi-step reasoning and tool-use for large language models Scaling Instruction-Finetuned Language Models

Reference 134

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Observation 32b63b53-502e-48be-963c-945e0a9ee7be · 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 Scaling Instruction-Finetuned Language Models

Reference 9

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Observation 32716f5b-ecea-49e5-8755-64508e2cf174 · 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 Scaling Instruction-Finetuned Language Models

Reference 12

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Observation 9641068f-aea6-4876-8ddd-6ed0e8ed9092 · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models Scaling Instruction-Finetuned Language Models

Reference 71

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Instruction Tuning with GPT-4 cites this paper.

Instruction Tuning with GPT-4 Scaling Instruction-Finetuned Language Models

Reference 5

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Observation 5f8f8b8b-7ecd-48e8-b82e-c32b3448bb82 · inbound

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

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Scaling Instruction-Finetuned Language Models

Reference 49

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Visual Instruction Tuning cites this paper.

Visual Instruction Tuning Scaling Instruction-Finetuned Language Models

Reference 11

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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 Scaling Instruction-Finetuned Language Models

Reference 4

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Observation 17f2ddbc-4c05-4e0b-b0f1-f69ee37bc40b · 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 Scaling Instruction-Finetuned Language Models

Reference 10

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Observation 31c7845c-ccb1-462c-a422-7c12891b1e07 · inbound

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

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality Scaling Instruction-Finetuned Language Models

Reference 4

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

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model Scaling Instruction-Finetuned Language Models

Reference 8

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Observation 16c9fbbb-8f0b-484b-9bf3-17b545670d84 · inbound

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

Otter: A Multi-Modal Model with In-Context Instruction Tuning Scaling Instruction-Finetuned Language Models

Reference 24

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

StarCoder: may the source be with you! Scaling Instruction-Finetuned Language Models

Reference 210

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Observation 5a610f2f-ed84-41c7-ad5b-5ff2f14d57fa · inbound

VideoChat: Chat-Centric Video Understanding cites this paper.

VideoChat: Chat-Centric Video Understanding Scaling Instruction-Finetuned Language Models

Reference 8

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Observation c4911014-9310-49cc-a09c-1f6522b177ae · inbound

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

InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning Scaling Instruction-Finetuned Language Models

Reference 7

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Observation 01b6d863-c500-4345-86db-6dcf988107be · inbound

Towards Expert-Level Medical Question Answering with Large Language Models cites this paper.

Towards Expert-Level Medical Question Answering with Large Language Models Scaling Instruction-Finetuned Language Models

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T04:32:33.414590Z

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Observation 428186b7-5ff8-4520-bb2d-5deefa566e44 · inbound

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

MemoryBank: Enhancing Large Language Models with Long-Term Memory Scaling Instruction-Finetuned Language Models

Reference 3

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PaLM 2 Technical Report cites this paper.

PaLM 2 Technical Report Scaling Instruction-Finetuned Language Models

Reference 27

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Observation 0a3ab3db-be86-45e8-8a97-ec5ce2dac338 · inbound

LIMA: Less Is More for Alignment cites this paper.

LIMA: Less Is More for Alignment Scaling Instruction-Finetuned Language Models

Reference 35

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Observation f9a66f4e-e908-4610-97c6-c999a75bcecf · inbound

QLoRA: Efficient Finetuning of Quantized LLMs cites this paper.

QLoRA: Efficient Finetuning of Quantized LLMs Scaling Instruction-Finetuned Language Models

Reference 12

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Observation a0cffb0f-ebb7-4397-b98a-a946c095fb84 · inbound

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

Gorilla: Large Language Model Connected with Massive APIs Scaling Instruction-Finetuned Language Models

Reference 11

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Observation 7cea5eba-9ca3-45f8-b82a-c2d0b0fad1ef · inbound

The False Promise of Imitating Proprietary LLMs cites this paper.

The False Promise of Imitating Proprietary LLMs Scaling Instruction-Finetuned Language Models

Reference 103

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Observation 6ccab05d-9f1a-4394-beba-a8ae87c94942 · inbound

Scaling Data-Constrained Language Models cites this paper.

Scaling Data-Constrained Language Models Scaling Instruction-Finetuned Language Models

Reference 22

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Observation 0babf4dd-6c8a-4fcf-9eab-745d9f5787fa · inbound

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

Voyager: An Open-Ended Embodied Agent with Large Language Models Scaling Instruction-Finetuned Language Models

Reference 74

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Observation 2b45e65d-dba7-4f6f-ba8f-8db0907bd739 · inbound

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

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration Scaling Instruction-Finetuned Language Models

Reference 7

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Observation 0e747518-71df-4387-b6a7-75cb7387db10 · inbound

Mind2Web: Towards a Generalist Agent for the Web cites this paper.

Mind2Web: Towards a Generalist Agent for the Web Scaling Instruction-Finetuned Language Models

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:05:16.213692Z

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Observation 41998bbe-62ea-4d18-b630-f4283eb56548 · inbound

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

MiniLLM: On-Policy Distillation of Large Language Models Scaling Instruction-Finetuned Language Models

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-12T17:40:27.882964Z

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Observation 6d8a98ea-c63d-47ee-b788-fd62307635e4 · inbound

A Survey on Multimodal Large Language Models cites this paper.

A Survey on Multimodal Large Language Models Scaling Instruction-Finetuned Language Models

Reference 58

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Observation 6fdfad14-4672-4c70-a109-064e4c6cda46 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models Scaling Instruction-Finetuned Language Models

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-19T20:28:39.384577Z

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Observation f31c9d92-c64b-48d9-a6ae-98576331f38e · inbound

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

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension Scaling Instruction-Finetuned Language Models

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-12T16:59:50.520072Z

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Observation 86a16296-e5e0-4732-b759-4fc8f9f517d3 · inbound

LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning cites this paper.

LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning Scaling Instruction-Finetuned Language Models

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T08:06:03.862532Z

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Observation f600534c-b672-4213-b1a9-8b19c74c9790 · inbound

Simple synthetic data reduces sycophancy in large language models cites this paper.

Simple synthetic data reduces sycophancy in large language models Scaling Instruction-Finetuned Language Models

Reference 11

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Observation 75882525-c7df-41a0-baf0-a52927992385 · inbound

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment cites this paper.

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Scaling Instruction-Finetuned Language Models

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-17T22:30:44.696234Z

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Observation c9bf7d69-9215-49a9-90bf-58212f96c989 · inbound

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

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning Scaling Instruction-Finetuned Language Models

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:46:39.583661Z

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Observation eca5eaa5-9b0f-4e2d-a93f-f77998945602 · inbound

C-Pack: Packed Resources For General Chinese Embeddings cites this paper.

C-Pack: Packed Resources For General Chinese Embeddings Scaling Instruction-Finetuned Language Models

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-13T13:24:32.193210Z

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Observation 8a88d4c9-5333-4e6f-b935-26558d1012f5 · 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 Scaling Instruction-Finetuned Language Models

Reference 108

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:23:37.463337Z

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Observation 73c7f464-203c-4683-a687-1df8feffb304 · inbound

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

Aligning Large Multimodal Models with Factually Augmented RLHF Scaling Instruction-Finetuned Language Models

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T17:58:17.826280Z

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Observation 347e30b2-8455-4d62-a0f6-a04bdf300959 · inbound

Improved Baselines with Visual Instruction Tuning cites this paper.

Improved Baselines with Visual Instruction Tuning Scaling Instruction-Finetuned Language Models

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-12T19:11:34.041017Z

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Observation 0ce01df1-e69a-4cd3-a4cb-3139d022ba57 · inbound

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

Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation Scaling Instruction-Finetuned Language Models

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-16T22:00:51.534523Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f4407bda-ed12-4538-87d7-abb849e7c66c · inbound

Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models cites this paper.

Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models Scaling Instruction-Finetuned Language Models

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-16T05:54:59.150278Z

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Observation d65c817a-64a1-4185-a443-70bfbbdde7f3 · inbound

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

SALMONN: Towards Generic Hearing Abilities for Large Language Models Scaling Instruction-Finetuned Language Models

Reference 86

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T02:29:46.370682Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ffcb57d0-631a-4ef0-858b-53e179228622 · inbound

Zephyr: Direct Distillation of LM Alignment cites this paper.

Zephyr: Direct Distillation of LM Alignment Scaling Instruction-Finetuned Language Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-16T10:13:57.447178Z

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Observation 58b9bdc7-d168-4906-b076-1f44b80a7704 · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Scaling Instruction-Finetuned Language Models

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-05-13T02:46:27.503014Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 115421db-e4d9-4fb4-b467-0b99c6319292 · inbound

Instruction-Following Evaluation for Large Language Models cites this paper.

Instruction-Following Evaluation for Large Language Models Scaling Instruction-Finetuned Language Models

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-24T05:36:00.960599Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e9790780-4daf-4249-b4e2-e2f751f27f22 · inbound

An Embodied Generalist Agent in 3D World cites this paper.

An Embodied Generalist Agent in 3D World Scaling Instruction-Finetuned Language Models

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T14:22:18.676657Z

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Observation 361bb9be-7ecf-40dc-a5aa-b412225e4c34 · inbound

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI cites this paper.

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI Scaling Instruction-Finetuned Language Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-15T05:37:41.514780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2df0cd91-cc59-4538-8507-2a82a43c1f0c · inbound

MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices cites this paper.

MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices Scaling Instruction-Finetuned Language Models

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-16T16:35:38.155666Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 718408e7-3977-47a9-8257-ff637c1613d2 · inbound

Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels cites this paper.

Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels Scaling Instruction-Finetuned Language Models

Reference 240

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:35:47.980471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cfe57bc8-fe5a-442a-be83-d60c2a8955cf · inbound

GPT-4V(ision) is a Generalist Web Agent, if Grounded cites this paper.

GPT-4V(ision) is a Generalist Web Agent, if Grounded Scaling Instruction-Finetuned Language Models

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 317fe846-8e6e-41b9-9d6b-1f9556eef562 · inbound

Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.

Data-Centric Foundation Models in Computational Healthcare: A Survey Scaling Instruction-Finetuned Language Models

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-05-24T04:13:52.948372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cae210ca-c70e-433c-8a20-9fa70c081492 · inbound

Agent AI: Surveying the Horizons of Multimodal Interaction cites this paper.

Agent AI: Surveying the Horizons of Multimodal Interaction Scaling Instruction-Finetuned Language Models

Reference 101

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bba74d8d-1ca0-4110-aac3-e8bd91586c95 · inbound

TrustLLM: Trustworthiness in Large Language Models cites this paper.

TrustLLM: Trustworthiness in Large Language Models Scaling Instruction-Finetuned Language Models

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-05-18T11:17:08.456495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5534a330-0548-49aa-a824-c0b7250993bd · inbound

VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks cites this paper.

VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks Scaling Instruction-Finetuned Language Models

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T15:20:36.580286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6116b813-9953-43f3-8fd1-806aba3746f0 · inbound

Large Language Models: A Survey cites this paper.

Large Language Models: A Survey Scaling Instruction-Finetuned Language Models

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:23:37.463337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 18eb02bc-6386-4899-81c9-134fcdfdbb3b · inbound

Decoding News Narratives: A Critical Analysis of Large Language Models in Framing Detection cites this paper.

Decoding News Narratives: A Critical Analysis of Large Language Models in Framing Detection Scaling Instruction-Finetuned Language Models

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T04:18:53.664427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6aff9f2f-4a8f-4197-8bcf-58242591779f · inbound

A Survey on Knowledge Distillation of Large Language Models cites this paper.

A Survey on Knowledge Distillation of Large Language Models Scaling Instruction-Finetuned Language Models

Reference 143

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T23:31:11.450602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c6fe145f-3795-4b0c-ad66-4bccdacc89ca · inbound

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive cites this paper.

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive Scaling Instruction-Finetuned Language Models

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:04:44.420709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7d5b83ac-9ba8-43e4-88e7-99b37fa0c8df · inbound

Yi: Open Foundation Models by 01.AI cites this paper.

Yi: Open Foundation Models by 01.AI Scaling Instruction-Finetuned Language Models

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:47:27.824323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cb9bb5b4-6a24-4706-a70e-e13f3af53f21 · inbound

Chronos: Learning the Language of Time Series cites this paper.

Chronos: Learning the Language of Time Series Scaling Instruction-Finetuned Language Models

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-13T08:27:23.411687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 08f49448-5684-42c0-b86b-f5d11a8854df · inbound

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training cites this paper.

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training Scaling Instruction-Finetuned Language Models

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T04:09:36.193132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c4bcc060-f642-4b49-bfd7-e7cd99a07a66 · inbound

Laissez-Faire Harms: Algorithmic Biases in Generative Language Models cites this paper.

Laissez-Faire Harms: Algorithmic Biases in Generative Language Models Scaling Instruction-Finetuned Language Models

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-24T02:03:44.415261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 919e45f9-ec6e-4938-801d-532b7c7e8bfc · inbound

A Survey on Retrieval-Augmented Text Generation for Large Language Models cites this paper.

A Survey on Retrieval-Augmented Text Generation for Large Language Models Scaling Instruction-Finetuned Language Models

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T02:15:55.504847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 05310cc9-450d-4ffe-ab0f-4c88f25e0dce · inbound

A Survey on Vision-Language-Action Models for Embodied AI cites this paper.

A Survey on Vision-Language-Action Models for Embodied AI Scaling Instruction-Finetuned Language Models

Reference 296

Resolution: verified exact; local_arxiv, observed 2026-05-24T01:25:54.481150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d3ac5eed-82fc-44fc-9fc7-c3840d0b61d5 · inbound

DataComp-LM: In search of the next generation of training sets for language models cites this paper.

DataComp-LM: In search of the next generation of training sets for language models Scaling Instruction-Finetuned Language Models

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-17T22:58:16.916976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 637db194-1ca6-4e4f-aaf6-cc4c89350460 · inbound

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models cites this paper.

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models Scaling Instruction-Finetuned Language Models

Reference 207

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T06:38:36.956884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c7eecc82-3137-4830-b32c-26ac2a364416 · inbound

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions cites this paper.

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions Scaling Instruction-Finetuned Language Models

Reference 145

Resolution: verified exact; local_arxiv, observed 2026-05-23T21:55:50.284509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9adab8b3-d6d3-47d6-8061-810400712157 · inbound

WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback cites this paper.

WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback Scaling Instruction-Finetuned Language Models

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T22:38:32.452772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e60c6ff8-8a2b-41e7-b58d-ea1b114a9a9d · inbound

AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference cites this paper.

AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference Scaling Instruction-Finetuned Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T20:16:46.560380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea3bf4b8-4f54-4cbe-91e0-9c660dfb6559 · inbound

SlimLM: An Efficient Small Language Model for On-Device Document Assistance cites this paper.

SlimLM: An Efficient Small Language Model for On-Device Document Assistance Scaling Instruction-Finetuned Language Models

Reference 9

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Unavailable: canonical work link unavailable.

Observation c002ee51-a973-4398-b098-2530a27ab468 · inbound

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection cites this paper.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Scaling Instruction-Finetuned Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T19:02:14.418545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ca6469a-310a-40b4-addb-1807bde2bfe3 · inbound

Understanding Chain-of-Thought in LLMs through Information Theory cites this paper.

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Reference 5

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Unavailable: canonical work link unavailable.

Observation e6e3f06b-58ae-4775-a2fa-c37a5a214114 · inbound

Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body cites this paper.

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Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T15:28:29.415088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb1ce79f-e34d-48be-aace-4a0cba00ccd9 · inbound

PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making cites this paper.

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Reference 15

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Observation 98ceba15-4585-45d5-9787-996d552fee1d · inbound

SentiXRL: An advanced large language Model Framework for Multilingual Fine-Grained Emotion Classification in Complex Text Environment cites this paper.

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Reference 5

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Unavailable: canonical work link unavailable.

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Structured Object Language Modeling (SoLM): Native Structured Objects Generation Conforming to Complex Schemas with Self-Supervised Denoising cites this paper.

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Reference 6

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Observation 20ae9220-eae2-4eb2-9d29-39719c174e28 · inbound

Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems cites this paper.

Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems Scaling Instruction-Finetuned Language Models

Reference 6

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Unavailable: canonical work link unavailable.

Observation 2724f12c-55d6-4253-8c7b-0891979348aa · inbound

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks cites this paper.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Scaling Instruction-Finetuned Language Models

Reference 20

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Unavailable: canonical work link unavailable.

Observation c84ea260-792b-47ba-b443-6044dbfdf33d · inbound

MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity cites this paper.

MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity Scaling Instruction-Finetuned Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:12.660956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c0105b8-6747-40e2-9375-8cb96af366c5 · inbound

Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs cites this paper.

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Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:02.167253Z

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Unavailable: canonical work link unavailable.

Observation ab1ae8b3-c307-4019-a232-f01e63be966b · inbound

Patent-CR: A Dataset for Patent Claim Revision cites this paper.

Patent-CR: A Dataset for Patent Claim Revision Scaling Instruction-Finetuned Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T23:23:09.965842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f1178a7-8649-4ac1-a406-b2244b3a3b7f · inbound

QA-TOOLBOX: Conversational Question-Answering for process task guidance in manufacturing cites this paper.

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Reference 9

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Unavailable: canonical work link unavailable.

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DRC-Coder: Automated DRC Checker Code Generation Using LLM Autonomous Agent cites this paper.

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Reference 3

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Unavailable: canonical work link unavailable.

Observation f53298e8-dc48-439f-a6e8-4b032bcd8783 · inbound

Are Clinical T5 Models Better for Clinical Text? cites this paper.

Are Clinical T5 Models Better for Clinical Text? Scaling Instruction-Finetuned Language Models

Reference 8

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Unavailable: canonical work link unavailable.

Observation a453a395-3d70-4343-bef3-92cd34481d29 · inbound

Language hooks: a modular framework for augmenting LLM reasoning that decouples tool usage from the model and its prompt cites this paper.

Language hooks: a modular framework for augmenting LLM reasoning that decouples tool usage from the model and its prompt Scaling Instruction-Finetuned Language Models

Reference 2022

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Unavailable: canonical work link unavailable.

Observation 5d14cbac-5ac1-445a-b629-20db721814b0 · inbound

HalluCana: Fixing LLM Hallucination with A Canary Lookahead cites this paper.

HalluCana: Fixing LLM Hallucination with A Canary Lookahead Scaling Instruction-Finetuned Language Models

Reference 5

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Unavailable: canonical work link unavailable.

Observation ae95652c-81bf-4f9f-a2cb-2022723abd26 · inbound

Small Language Model as Data Prospector for Large Language Model cites this paper.

Small Language Model as Data Prospector for Large Language Model Scaling Instruction-Finetuned Language Models

Reference 5

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Unavailable: canonical work link unavailable.

Observation 2954398f-3394-4cca-9ae7-67d8ce54f7e9 · inbound

Reasoner Outperforms: Generative Stance Detection with Rationalization for Social Media cites this paper.

Reasoner Outperforms: Generative Stance Detection with Rationalization for Social Media Scaling Instruction-Finetuned Language Models

Reference 5

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Unavailable: canonical work link unavailable.

Observation 79c5bcc5-4f6b-4b84-aedc-046cdee0bd22 · inbound

Context Filtering with Reward Modeling in Question Answering cites this paper.

Context Filtering with Reward Modeling in Question Answering Scaling Instruction-Finetuned Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T14:44:14.000551Z

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Unavailable: canonical work link unavailable.

Observation e8f0a5e0-2ac1-4733-a094-a03959af333b · inbound

Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference cites this paper.

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Reference 7

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Unavailable: canonical work link unavailable.

Observation 205c0304-1d3a-4eb4-9580-7c5725d57e0a · inbound

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs cites this paper.

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs Scaling Instruction-Finetuned Language Models

Reference 2024

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Unavailable: canonical work link unavailable.

Observation 670debc4-cb87-45f3-a7ae-1e66838f9680 · inbound

LitLLMs, LLMs for Literature Review: Are we there yet? cites this paper.

LitLLMs, LLMs for Literature Review: Are we there yet? Scaling Instruction-Finetuned Language Models

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 931f9888-7e59-488d-872c-17923603353d · inbound

Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning cites this paper.

Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning Scaling Instruction-Finetuned Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T11:08:56.322577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a1e1c1f-3de2-4af6-84c8-66c32e9d4b68 · inbound

Label Privacy in Split Learning for Large Models with Parameter-Efficient Training cites this paper.

Label Privacy in Split Learning for Large Models with Parameter-Efficient Training Scaling Instruction-Finetuned Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:42.769085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers