Towards Efficient and Effective Alignment of Large Language Models | Paper Citation Record

Observation 2984a716-55b6-4c05-b1c8-2b424716993a · outbound

This paper cites Explanations for commonsenseqa: New dataset and models.

Towards Efficient and Effective Alignment of Large Language Models Explanations for commonsenseqa: New dataset and models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:33.779711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f267181-8541-4f56-8cc2-a05b3561a99d · outbound

This paper cites Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models.

Towards Efficient and Effective Alignment of Large Language Models Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:33.838406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db1cb79b-10f6-44c7-8f30-7c5326d99938 · outbound

This paper cites arxiv dataset, 2023.

Towards Efficient and Effective Alignment of Large Language Models arxiv dataset, 2023

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:33.926249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb4f1d21-4f1b-402d-8515-1dec66a8baf6 · outbound

This paper cites A General Language Assistant as a Laboratory for Alignment.

Towards Efficient and Effective Alignment of Large Language Models A General Language Assistant as a Laboratory for Alignment

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:33.990438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7fd65e2-7744-48f4-8cae-8451897ae442 · outbound

This paper cites Program Synthesis with Large Language Models.

Towards Efficient and Effective Alignment of Large Language Models Program Synthesis with Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:34.066154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a2f7029-2d82-4d25-aec4-2ffc1fea85c2 · outbound

This paper cites A general theoretical paradigm to understand learning from human preferences.

Towards Efficient and Effective Alignment of Large Language Models A general theoretical paradigm to understand learning from human preferences

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:34.132829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ddee455-f96b-4ce2-bf8e-d8d01ce24816 · outbound

This paper cites an unresolved cited work.

Towards Efficient and Effective Alignment of Large Language Models Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:34.205526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae4a5deb-b684-4c43-9b55-2da9714a0fc7 · outbound

This paper cites Qwen Technical Report.

Towards Efficient and Effective Alignment of Large Language Models Qwen Technical Report

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:34.295599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 472e8260-1600-4b07-bc77-c0c6e79bd3a3 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Towards Efficient and Effective Alignment of Large Language Models Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:34.409645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9141b438-901d-4072-85d8-052d26f42ca4 · outbound

This paper cites Constitutional ai: Harmlessness from ai feedback.

Towards Efficient and Effective Alignment of Large Language Models Constitutional ai: Harmlessness from ai feedback

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:34.497941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc625a8d-77c2-4461-a291-d2866151238f · outbound

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

Towards Efficient and Effective Alignment of Large Language Models Baichuan 2: Open Large-scale Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:34.572378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4795861-b5bd-4e17-ac48-cd90fe38235d · outbound

This paper cites PIQA: reasoning about physical commonsense in natural language.

Towards Efficient and Effective Alignment of Large Language Models PIQA: reasoning about physical commonsense in natural language

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:34.641856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2613a1f-022c-4fcb-ac75-997afd90fee9 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Towards Efficient and Effective Alignment of Large Language Models On the Opportunities and Risks of Foundation Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:34.712793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf7bd0d9-897a-407f-8a08-5f12ee0be21f · outbound

This paper cites Rank analysis of incomplete block designs: I.

Towards Efficient and Effective Alignment of Large Language Models Rank analysis of incomplete block designs: I

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:34.771786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 243e65c4-9ddc-4074-a351-1794a3c2c60f · outbound

This paper cites On the resemblance and containment of documents.

Towards Efficient and Effective Alignment of Large Language Models On the resemblance and containment of documents

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:34.834771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cb5a7d5-bc30-470d-a784-98838ae56b84 · outbound

This paper cites Language models are few-shot learners.

Towards Efficient and Effective Alignment of Large Language Models Language models are few-shot learners

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:34.894603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca627d7f-b4dc-44e0-b650-d68c428947e6 · outbound

This paper cites Data Diversity Matters for Robust Instruction Tuning.

Towards Efficient and Effective Alignment of Large Language Models Data Diversity Matters for Robust Instruction Tuning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:34.979788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6833eeb0-05f9-4dac-bc72-f0be0760cb3f · outbound

This paper cites Drlc: Reinforcement learning with dense rewards from llm critic.

Towards Efficient and Effective Alignment of Large Language Models Drlc: Reinforcement learning with dense rewards from llm critic

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:35.044766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcf1a6d7-877f-4d33-8226-a98385e3554e · outbound

This paper cites Instruction Mining: Instruction Data Selection for Tuning Large Language Models.

Towards Efficient and Effective Alignment of Large Language Models Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:35.093796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48a84e31-6eba-420c-a629-95694fd796b3 · outbound

This paper cites Wit3: Web inventory of transcribed and translated talks.

Towards Efficient and Effective Alignment of Large Language Models Wit3: Web inventory of transcribed and translated talks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:35.134788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86d7480e-1b5e-40eb-ac40-e92c2671b1f0 · outbound

This paper cites Dense reward for free in reinforcement learning from human feedback.

Towards Efficient and Effective Alignment of Large Language Models Dense reward for free in reinforcement learning from human feedback

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:35.190976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5508cc0-8a67-49c5-9e72-5f3b9356a530 · outbound

This paper cites Maybe Only 0.5% Data is Needed: A Preliminary Exploration of Low Training Data Instruction Tuning.

Towards Efficient and Effective Alignment of Large Language Models Maybe Only 0.5% Data is Needed: A Preliminary Exploration of Low Training Data Instruction Tuning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:35.255414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2bc87fc-1d24-4014-87b0-f5b109d3af90 · outbound

This paper cites Controllable Text Generation with Language Constraints.

Towards Efficient and Effective Alignment of Large Language Models Controllable Text Generation with Language Constraints

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:35.310420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fc93f12-58ed-420f-af94-e0141db37032 · outbound

This paper cites AlpaGasus: Training A Better Alpaca with Fewer Data.

Towards Efficient and Effective Alignment of Large Language Models AlpaGasus: Training A Better Alpaca with Fewer Data

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:35.362349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8374c56-37a3-4279-ad72-ec912cf5ccd9 · outbound

This paper cites an unresolved cited work.

Towards Efficient and Effective Alignment of Large Language Models Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:35.427244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a881804-68d0-4530-bfb3-cc9bd2359f82 · outbound

This paper cites DoG- instruct: Towards premium instruction-tuning data via text-grounded instruction wrapping.

Towards Efficient and Effective Alignment of Large Language Models DoG- instruct: Towards premium instruction-tuning data via text-grounded instruction wrapping

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:35.481196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a12aa9c-f84a-4aa2-9cd0-4835b5f0dbaa · outbound

This paper cites Improving large language models via fine-grained 111 reinforcement learning with minimum editing constraint.

Towards Efficient and Effective Alignment of Large Language Models Improving large language models via fine-grained 111 reinforcement learning with minimum editing constraint

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:35.556877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d6f2caf-d786-4d3a-81c4-dba3f2d71162 · outbound

This paper cites Low-redundant optimization for large language model alignment.

Towards Efficient and Effective Alignment of Large Language Models Low-redundant optimization for large language model alignment

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:35.620977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80803c46-36c0-48d6-889f-552a222edb19 · outbound

This paper cites Replacing Language Model for Style Transfer.

Towards Efficient and Effective Alignment of Large Language Models Replacing Language Model for Style Transfer

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:55:44.360440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eb703fef-2a92-40c8-9583-3552aeafc88b · outbound

This paper cites an unresolved cited work.

Towards Efficient and Effective Alignment of Large Language Models Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:35.762417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b778db6-1805-49c2-997e-dad6126a2f32 · outbound

This paper cites Gonzalez, Ion Stoica, and Eric P.

Towards Efficient and Effective Alignment of Large Language Models Gonzalez, Ion Stoica, and Eric P

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:35.823540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 311459ef-77b8-4637-859b-a47450733117 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Towards Efficient and Effective Alignment of Large Language Models Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:35.891868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bae9199e-0e62-4fbf-aadf-6df4203faff9 · outbound

This paper cites an unresolved cited work.

Towards Efficient and Effective Alignment of Large Language Models Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:35.953346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0423424-6cce-4c0b-801a-cbe6ae3f682c · outbound

This paper cites Christiano, Jan Leike, Tom B.

Towards Efficient and Effective Alignment of Large Language Models Christiano, Jan Leike, Tom B

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:36.019095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29a15694-57eb-46dc-b94e-a18d5928a149 · outbound

This paper cites All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text.

Towards Efficient and Effective Alignment of Large Language Models All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:36.134233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4a9d89c-da52-47f0-a837-41137e909365 · outbound

This paper cites Think you have solved question answering? try arc, the ai2 reasoning challenge, 2018.

Towards Efficient and Effective Alignment of Large Language Models Think you have solved question answering? try arc, the ai2 reasoning challenge, 2018

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:36.238033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21c9fbf6-ba16-4326-9e2f-0c82a5569734 · outbound

This paper cites The future landscape of large language models in medicine.

Towards Efficient and Effective Alignment of Large Language Models The future landscape of large language models in medicine

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:36.387177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef90d198-6b0c-4258-a85e-cdeaa7796aa6 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Towards Efficient and Effective Alignment of Large Language Models Training Verifiers to Solve Math Word Problems

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:36.542461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5da014c8-c844-4ace-b009-5c6e0c6f2402 · outbound

This paper cites Evaluating the Ripple Effects of Knowledge Editing in Language Models.

Towards Efficient and Effective Alignment of Large Language Models Evaluating the Ripple Effects of Knowledge Editing in Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:36.652970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56000ff9-8ca0-450d-9a6f-ce458accef52 · outbound

This paper cites Redpajama: An open source recipe to reproduce llama training dataset, 2023.

Towards Efficient and Effective Alignment of Large Language Models Redpajama: An open source recipe to reproduce llama training dataset, 2023

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:36.715510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f103fa79-936b-48a6-abe1-a63c7af4b37c · outbound

This paper cites Free dolly: Introducing the world’s first truly open instruction-tuned llm, 2023.

Towards Efficient and Effective Alignment of Large Language Models Free dolly: Introducing the world’s first truly open instruction-tuned llm, 2023

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:36.803603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90f2194c-0d28-45a6-b9dc-84946743b6f0 · outbound

This paper cites Opencompass: A universal evaluation platform for foundation models.

Towards Efficient and Effective Alignment of Large Language Models Opencompass: A universal evaluation platform for foundation models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:36.895228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed021ca8-dc4c-448c-97f5-7cc5f5219fe0 · outbound

This paper cites Ultrafeedback: Boosting language models with high-quality feedback.

Towards Efficient and Effective Alignment of Large Language Models Ultrafeedback: Boosting language models with high-quality feedback

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:37.011778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06bbaec5-b94b-4928-b947-72112cd1f1ff · outbound

This paper cites Knowl- edge neurons in pretrained transformers.

Towards Efficient and Effective Alignment of Large Language Models Knowl- edge neurons in pretrained transformers

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:37.123213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 285a82bf-21c0-4aa3-9128-acd15a55a0ee · outbound

This paper cites Editing factual knowledge in language models.

Towards Efficient and Effective Alignment of Large Language Models Editing factual knowledge in language models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:37.253184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f7ab59e-699c-43a4-a443-7ed6b901c578 · outbound

This paper cites Bert: Pre- training of deep bidirectional transformers for language understanding.

Towards Efficient and Effective Alignment of Large Language Models Bert: Pre- training of deep bidirectional transformers for language understanding

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:37.420192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2bb9c16-8a0e-46ed-80da-cfd566084634 · outbound

This paper cites Enhancing chat language models by scaling high-quality instructional conversations.

Towards Efficient and Effective Alignment of Large Language Models Enhancing chat language models by scaling high-quality instructional conversations

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:37.579671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0137709e-846f-4ca1-b11d-d3229c43b3ec · outbound

This paper cites A Survey on In-context Learning.

Towards Efficient and Effective Alignment of Large Language Models A Survey on In-context Learning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:37.750155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eeede9d-3cf9-4718-b778-117133eeae85 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Towards Efficient and Effective Alignment of Large Language Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:37.923690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d846989-825f-4387-9fb5-8017ae6e716c · outbound

This paper cites Glm: General language model pretraining with autoregressive blank infilling.

Towards Efficient and Effective Alignment of Large Language Models Glm: General language model pretraining with autoregressive blank infilling

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:38.091691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94750fad-64cb-41c8-a149-6fe7389653da · outbound

This paper cites The llama 3 herd of models.

Towards Efficient and Effective Alignment of Large Language Models The llama 3 herd of models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:38.245201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88326315-d97e-440e-bab5-8670052f5ef2 · outbound

This paper cites Length- controlled alpacaeval: A simple way to debias automatic evaluators.

Towards Efficient and Effective Alignment of Large Language Models Length- controlled alpacaeval: A simple way to debias automatic evaluators

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:38.319172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0c4a996-b02b-436b-b6bf-e7557988e64a · outbound

This paper cites Fact-checking the output of large language models via token-level uncertainty quantification.

Towards Efficient and Effective Alignment of Large Language Models Fact-checking the output of large language models via token-level uncertainty quantification

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:38.532163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75ea9cfe-0741-4625-847a-1ea5d49c56ba · outbound

This paper cites Hierarchical neural story generation.

Towards Efficient and Effective Alignment of Large Language Models Hierarchical neural story generation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:38.690711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99594ee3-0f6e-4faa-b7e4-7a21323074c8 · outbound

This paper cites Data-Free Adversarial Distillation.

Towards Efficient and Effective Alignment of Large Language Models Data-Free Adversarial Distillation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:38.892082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1527546f-9b1d-4030-ac77-7fc2bc4d7c9f · outbound

This paper cites Gptscore: Evaluate as you desire.

Towards Efficient and Effective Alignment of Large Language Models Gptscore: Evaluate as you desire

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:39.059708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc021117-b897-4423-bbb1-ab96af9c2935 · outbound

This paper cites Preference learning and ranking by pairwise comparison.

Towards Efficient and Effective Alignment of Large Language Models Preference learning and ranking by pairwise comparison

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:39.136611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 806fc54d-e1b9-4b59-9b4b-40a701927a5f · outbound

This paper cites Scaling Synthetic Data Creation with 1,000,000,000 Personas.

Towards Efficient and Effective Alignment of Large Language Models Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:39.303687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45258c39-e762-4c0e-9870-47c535fa60f4 · outbound

This paper cites Koala: A dialogue model for academic research.

Towards Efficient and Effective Alignment of Large Language Models Koala: A dialogue model for academic research

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:39.386153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c395c387-ca5e-4b6f-9322-8e9065136efc · outbound

This paper cites Did aristotle use a laptop? A question answering benchmark with implicit rea- soning strategies.

Towards Efficient and Effective Alignment of Large Language Models Did aristotle use a laptop? A question answering benchmark with implicit rea- soning strategies

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:39.471185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05ffb229-30b1-4835-97db-4bc9ddd22642 · outbound

This paper cites ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks.

Towards Efficient and Effective Alignment of Large Language Models ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:39.571857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a597135c-ec96-4b60-8f72-8079c0c7de82 · outbound

This paper cites SAMSum corpus: A human-annotated dialogue dataset for abstractive summarization.

Towards Efficient and Effective Alignment of Large Language Models SAMSum corpus: A human-annotated dialogue dataset for abstractive summarization

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:39.649815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b054aa4-b404-47a1-9c83-d2591fb12aba · outbound

This paper cites English gigaword.

Towards Efficient and Effective Alignment of Large Language Models English gigaword

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:39.744866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bf6af9f-735a-4f6d-bb65-7038a8c7026c · outbound

This paper cites A Survey on LLM-as-a-Judge.

Towards Efficient and Effective Alignment of Large Language Models A Survey on LLM-as-a-Judge

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:39.813545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67e14756-5e5a-4a91-b91d-d0c912ee003d · outbound

This paper cites The False Promise of Imitating Proprietary LLMs.

Towards Efficient and Effective Alignment of Large Language Models The False Promise of Imitating Proprietary LLMs

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:39.919359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17e89c8a-7a3a-467e-92e7-67759058212c · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Towards Efficient and Effective Alignment of Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:40.067581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1c3bdf8-4bdc-444b-ba66-8bc874dd732a · outbound

This paper cites Beyond imita- tion: Leveraging fine-grained quality signals for alignment.

Towards Efficient and Effective Alignment of Large Language Models Beyond imita- tion: Leveraging fine-grained quality signals for alignment

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:40.217742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c130163-e5d2-404b-b541-1bd4e4c5ed9d · outbound

This paper cites Coopera- tive inverse reinforcement learning.

Towards Efficient and Effective Alignment of Large Language Models Coopera- tive inverse reinforcement learning

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:40.344439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a29c6f4-e4a9-45d9-9aaa-af8afe755c70 · outbound

This paper cites Aging with grace: Lifelong model editing with discrete key- value adaptors.

Towards Efficient and Effective Alignment of Large Language Models Aging with grace: Lifelong model editing with discrete key- value adaptors

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:40.428933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6da72c2a-db4f-40a8-8c63-0693d739ca3b · outbound

This paper cites Does localization inform editing? surprising differences in causality-based localization vs.

Towards Efficient and Effective Alignment of Large Language Models Does localization inform editing? surprising differences in causality-based localization vs

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:40.544821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26507359-384b-4a0d-96e1-0992e7bf13a5 · outbound

This paper cites Measuring massive multitask language understanding.

Towards Efficient and Effective Alignment of Large Language Models Measuring massive multitask language understanding

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:40.625109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7e206f8-3635-444a-b363-ff65ccab6c83 · outbound

This paper cites Measuring mathematical problem solving with the math dataset.

Towards Efficient and Effective Alignment of Large Language Models Measuring mathematical problem solving with the math dataset

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:40.743384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7a15b53-fe4c-4178-897d-94d96d60c1cc · outbound

This paper cites Knowledge distil- lation with adversarial samples supporting decision boundary.

Towards Efficient and Effective Alignment of Large Language Models Knowledge distil- lation with adversarial samples supporting decision boundary

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:40.833002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e6670d9-1673-4f20-884d-4131418befcc · outbound

This paper cites Orpo: Monolithic preference optimiza- tion without reference model.

Towards Efficient and Effective Alignment of Large Language Models Orpo: Monolithic preference optimiza- tion without reference model

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:40.937312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0087c7e8-a8ad-4ebe-b022-d24ee74472cd · outbound

This paper cites Parameter- efficient transfer learning for nlp.

Towards Efficient and Effective Alignment of Large Language Models Parameter- efficient transfer learning for nlp

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:41.059879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 402a4af6-40ad-40e3-a551-ea01e5a81b92 · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

Towards Efficient and Effective Alignment of Large Language Models LoRA: Low-rank adaptation of large language models

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:41.200362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee0fa57b-89d2-4bf9-b945-d8b416985796 · outbound

This paper cites Is chatgpt better than human annotators? potential and limitations of chatgpt in explaining implicit hate speech.

Towards Efficient and Effective Alignment of Large Language Models Is chatgpt better than human annotators? potential and limitations of chatgpt in explaining implicit hate speech

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:41.313569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee95b239-2885-4582-8cd6-4481d5800d58 · outbound

This paper cites Deep q-networks.

Towards Efficient and Effective Alignment of Large Language Models Deep q-networks

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:41.513883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7daef58a-0866-472a-995f-316f8004916c · outbound

This paper cites C-eval: A multi-level multi-discipline chinese evaluation suite for foundation models.

Towards Efficient and Effective Alignment of Large Language Models C-eval: A multi-level multi-discipline chinese evaluation suite for foundation models

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:41.661806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1abe27ca-14dd-4c0e-8082-b16488d5c3ce · outbound

This paper cites Smith, Iz Beltagy, and Han- naneh Hajishirzi.

Towards Efficient and Effective Alignment of Large Language Models Smith, Iz Beltagy, and Han- naneh Hajishirzi

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:41.747410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 180d9a92-bf39-47c3-beb0-9ec2378a5c96 · outbound

This paper cites Aligner: Achieving efficient alignment through weak-to-strong correction.

Towards Efficient and Effective Alignment of Large Language Models Aligner: Achieving efficient alignment through weak-to-strong correction

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:41.824542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4476b5a5-3f25-4d18-b90f-72717c8a72c8 · outbound

This paper cites Mistral 7b.

Towards Efficient and Effective Alignment of Large Language Models Mistral 7b

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:41.891033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b7b75c7-ae68-4aa3-9b3a-c2a82a818f46 · outbound

This paper cites What disease does this patient have? a large-scale open domain ques- tion answering dataset from medical exams.

Towards Efficient and Effective Alignment of Large Language Models What disease does this patient have? a large-scale open domain ques- tion answering dataset from medical exams

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:41.993198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 122b1fbb-215f-463c-b615-4a683574074e · outbound

This paper cites Plus disease in retinopathy of prematurity: im- proving diagnosis by ranking disease severity and using quantitative image analy- sis.

Towards Efficient and Effective Alignment of Large Language Models Plus disease in retinopathy of prematurity: im- proving diagnosis by ranking disease severity and using quantitative image analy- sis

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.122707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20d8c7ec-1a6b-4cbc-b948-e40b86c96ebf · outbound

This paper cites Scaling Laws for Neural Language Models.

Towards Efficient and Effective Alignment of Large Language Models Scaling Laws for Neural Language Models

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.209573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99a690e2-d9ff-46a8-83b2-0e764f46df61 · outbound

This paper cites A survey of reinforcement learning from human feedback.

Towards Efficient and Effective Alignment of Large Language Models A survey of reinforcement learning from human feedback

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.300537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d79b45b-d7eb-497d-961b-2158e8f2b86f · outbound

This paper cites QASC: A dataset for question answering via sentence composition.

Towards Efficient and Effective Alignment of Large Language Models QASC: A dataset for question answering via sentence composition

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.373458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fccded32-3950-43d9-ae9e-e1a1d997972a · outbound

This paper cites Adam: A method for stochastic optimization.

Towards Efficient and Effective Alignment of Large Language Models Adam: A method for stochastic optimization

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.435240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1037a898-9a40-4c2b-a389-d9ed6a1b4821 · outbound

This paper cites MAWPS: A math word problem repository.

Towards Efficient and Effective Alignment of Large Language Models MAWPS: A math word problem repository

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.491049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f79c7443-f797-4bc8-9e2e-e91697403498 · outbound

This paper cites Openassistant conversations-democratizing large language model alignment.

Towards Efficient and Effective Alignment of Large Language Models Openassistant conversations-democratizing large language model alignment

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.554902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 755e83e5-26cb-425e-92d1-4a0bbda2db33 · outbound

This paper cites Spoc: Search-based pseudocode to code.

Towards Efficient and Effective Alignment of Large Language Models Spoc: Search-based pseudocode to code

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.671056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 372e1cc8-c5a1-4a4b-b150-799272fb5cfa · outbound

This paper cites MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models.

Towards Efficient and Effective Alignment of Large Language Models MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.704868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfbe63b4-05e6-4cb6-b276-20b88d796c00 · outbound

This paper cites Large language models in law: A survey.

Towards Efficient and Effective Alignment of Large Language Models Large language models in law: A survey

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.709802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db55201a-1d75-436c-ab20-2d0a6f6d4370 · outbound

This paper cites Ds-1000: A natural and reliable benchmark for data science code generation.

Towards Efficient and Effective Alignment of Large Language Models Ds-1000: A natural and reliable benchmark for data science code generation

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.713868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94a113b0-53e8-43f2-a4fd-ce0854cdf8a7 · outbound

This paper cites RLAIF vs.

Towards Efficient and Effective Alignment of Large Language Models RLAIF vs

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.718727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fc3d327-5031-45a9-bc38-86ab82cea280 · outbound

This paper cites Scalable agent alignment via reward modeling: a research direction.

Towards Efficient and Effective Alignment of Large Language Models Scalable agent alignment via reward modeling: a research direction

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.722920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d2b17f9-d8ae-44a0-89d7-61cf01e0f55f · outbound

This paper cites Zero-shot relation extraction via reading comprehension.

Towards Efficient and Effective Alignment of Large Language Models Zero-shot relation extraction via reading comprehension

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.727112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1f96cdb-4c54-4951-9213-17ec4f5c7fdc · outbound

This paper cites an unresolved cited work.

Towards Efficient and Effective Alignment of Large Language Models Unresolved cited work

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.731509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ce389d0-653d-4a00-8892-d18212bab4e2 · outbound

This paper cites CMMLU: Measuring massive multitask language understanding in Chinese.

Towards Efficient and Effective Alignment of Large Language Models CMMLU: Measuring massive multitask language understanding in Chinese

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.735264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcb59c4d-3e81-407a-8581-e3209625dafb · outbound

This paper cites Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models.

Towards Efficient and Effective Alignment of Large Language Models Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.739229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers