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Jan 12
Jan 12
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Discover the best community collections!
Collections including paper arxiv:2401.06080
Collection by
Jan 12
Jan 12
Collection by
Aug 1
Aug 1
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Secrets of RLHF in Large Language Models Part II: Reward Modeling
Paper • 2401.06080 • Published • 25 -
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms
Paper • 2406.02900 • Published • 10 -
AgentGym: Evolving Large Language Model-based Agents across Diverse Environments
Paper • 2406.04151 • Published • 17 -
Understanding and Diagnosing Deep Reinforcement Learning
Paper • 2406.16979 • Published • 9
Collection by
Jan 13
Jan 13
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Understanding LLMs: A Comprehensive Overview from Training to Inference
Paper • 2401.02038 • Published • 61 -
DocLLM: A layout-aware generative language model for multimodal document understanding
Paper • 2401.00908 • Published • 180 -
LLaMA Beyond English: An Empirical Study on Language Capability Transfer
Paper • 2401.01055 • Published • 54 -
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
Paper • 2401.01325 • Published • 26
Collection by
16 days ago
16 days ago
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LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Paper • 2312.11514 • Published • 258 -
3D-LFM: Lifting Foundation Model
Paper • 2312.11894 • Published • 13 -
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 56 -
TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
Paper • 2312.16862 • Published • 30
Collection by
Feb 9
Feb 9
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Pearl: A Production-ready Reinforcement Learning Agent
Paper • 2312.03814 • Published • 14 -
Secrets of RLHF in Large Language Models Part II: Reward Modeling
Paper • 2401.06080 • Published • 25 -
Contrastive Prefence Learning: Learning from Human Feedback without RL
Paper • 2310.13639 • Published • 24 -
StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback
Paper • 2402.01391 • Published • 41
Collection by
Jun 4
Jun 4
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TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 64 -
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Paper • 2303.12712 • Published • 2 -
Secrets of RLHF in Large Language Models Part II: Reward Modeling
Paper • 2401.06080 • Published • 25 -
Measuring Implicit Bias in Explicitly Unbiased Large Language Models
Paper • 2402.04105 • Published • 1
Collection by
Apr 21
Apr 21
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The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs
Paper • 2210.14986 • Published • 4 -
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2
Paper • 2311.10702 • Published • 18 -
Large Language Models as Optimizers
Paper • 2309.03409 • Published • 75 -
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Paper • 2309.04269 • Published • 32
Collection by
Apr 12
Apr 12
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Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 47 -
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training
Paper • 2306.01693 • Published • 3 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 143 -
Secrets of RLHF in Large Language Models Part II: Reward Modeling
Paper • 2401.06080 • Published • 25
Collection by
May 2
May 2
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Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
Paper • 2311.13231 • Published • 26 -
Nash Learning from Human Feedback
Paper • 2312.00886 • Published • 14 -
Secrets of RLHF in Large Language Models Part II: Reward Modeling
Paper • 2401.06080 • Published • 25 -
MusicRL: Aligning Music Generation to Human Preferences
Paper • 2402.04229 • Published • 16