:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yu, Ping, Xu, Jing, Weston, Jason, Kulikov, Ilia
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	https://arxiv.org/abs/2407.06023
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning
par: Whitehouse, Chenxi, et autres
Publié: (2025)

CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks
par: Yu, Ping, et autres
Publié: (2025)

Self-Taught Evaluators
par: Wang, Tianlu, et autres
Publié: (2024)

Self-Improving Pretraining: using post-trained models to pretrain better models
par: Tan, Ellen Xiaoqing, et autres
Publié: (2026)

System-Level Natural Language Feedback
par: Yuan, Weizhe, et autres
Publié: (2023)

Some things are more CRINGE than others: Iterative Preference Optimization with the Pairwise Cringe Loss
par: Xu, Jing, et autres
Publié: (2023)

Following Length Constraints in Instructions
par: Yuan, Weizhe, et autres
Publié: (2024)

R.I.P.: Better Models by Survival of the Fittest Prompts
par: Yu, Ping, et autres
Publié: (2025)

Reasoning over mathematical objects: on-policy reward modeling and test time aggregation
par: Aggarwal, Pranjal, et autres
Publié: (2026)

Adaptive Decoding via Latent Preference Optimization
par: Dhuliawala, Shehzaad, et autres
Publié: (2024)

Diverse Preference Optimization
par: Lanchantin, Jack, et autres
Publié: (2025)

Self-Rewarding Language Models
par: Yuan, Weizhe, et autres
Publié: (2024)

Contextual Position Encoding: Learning to Count What's Important
par: Golovneva, Olga, et autres
Publié: (2024)

Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense
par: Tao, Leitian, et autres
Publié: (2025)

Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge
par: Wu, Tianhao, et autres
Publié: (2024)

Reverse Training to Nurse the Reversal Curse
par: Golovneva, Olga, et autres
Publié: (2024)

Post-training an LLM for RAG? Train on Self-Generated Demonstrations
par: Finlayson, Matthew, et autres
Publié: (2025)

Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge
par: Saha, Swarnadeep, et autres
Publié: (2025)

Self-Challenging Language Model Agents
par: Zhou, Yifei, et autres
Publié: (2025)

Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources
par: Lupidi, Alisia, et autres
Publié: (2024)

The Majority is not always right: RL training for solution aggregation
par: Zhao, Wenting, et autres
Publié: (2025)

Thinking LLMs: General Instruction Following with Thought Generation
par: Wu, Tianhao, et autres
Publié: (2024)

Self-Consistency Preference Optimization
par: Prasad, Archiki, et autres
Publié: (2024)

Iterative Reasoning Preference Optimization
par: Pang, Richard Yuanzhe, et autres
Publié: (2024)

The Era of Real-World Human Interaction: RL from User Conversations
par: Jin, Chuanyang, et autres
Publié: (2025)

Step Rejection Fine-Tuning: A Practical Distillation Recipe
par: Slinko, Igor, et autres
Publié: (2026)

StepWiser: Stepwise Generative Judges for Wiser Reasoning
par: Xiong, Wei, et autres
Publié: (2025)

Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation
par: Zhou, Yuhang, et autres
Publié: (2024)

Predict the Next Word: Humans exhibit uncertainty in this task and language models _____
par: Ilia, Evgenia, et autres
Publié: (2024)

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
par: Saha, Swarnadeep, et autres
Publié: (2023)

Knowledge Distillation of LLM for Automatic Scoring of Science Education Assessments
par: Latif, Ehsan, et autres
Publié: (2023)

Benchmarking Concept-Spilling Across Languages in LLMs
par: Badanin, Ilia, et autres
Publié: (2026)

An Overview of Large Language Models for Statisticians
par: Ji, Wenlong, et autres
Publié: (2025)

Distillation Scaling Laws
par: Busbridge, Dan, et autres
Publié: (2025)

Better Alignment with Instruction Back-and-Forth Translation
par: Nguyen, Thao, et autres
Publié: (2024)

Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM
par: Sukhbaatar, Sainbayar, et autres
Publié: (2024)

NaturalThoughts: Selecting and Distilling Reasoning Traces for General Reasoning Tasks
par: Li, Yang, et autres
Publié: (2025)

OptimalThinkingBench: Evaluating Over and Underthinking in LLMs
par: Aggarwal, Pranjal, et autres
Publié: (2025)

EmoDistill: Offline Emotion Skill Distillation for Language Model Agents in Adversarial Negotiation
par: Long, Yunbo, et autres
Publié: (2026)

S^2tory: Story Spine Distillation for Movie Script Summarization
par: Lu, Mingzhe, et autres
Publié: (2026)