Collections
Discover the best community collections!
Collections trending this week
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CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
Paper • 2305.11738 • Published • 9 -
Shepherd: A Critic for Language Model Generation
Paper • 2308.04592 • Published • 32 -
CriticBench: Benchmarking LLMs for Critique-Correct Reasoning
Paper • 2402.14809 • Published • 3 -
DRLC: Reinforcement Learning with Dense Rewards from LLM Critic
Paper • 2401.07382 • Published • 2
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Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 74 -
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization
Paper • 2402.09320 • Published • 6 -
sDPO: Don't Use Your Data All at Once
Paper • 2403.19270 • Published • 36 -
Dueling RL: Reinforcement Learning with Trajectory Preferences
Paper • 2111.04850 • Published • 2
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Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in Transformer Models
Paper • 2311.00871 • Published • 3 -
Can large language models explore in-context?
Paper • 2403.15371 • Published • 30 -
Data Distributional Properties Drive Emergent In-Context Learning in Transformers
Paper • 2205.05055 • Published • 2 -
Long-context LLMs Struggle with Long In-context Learning
Paper • 2404.02060 • Published • 35
-
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
Paper • 2305.11738 • Published • 9 -
Shepherd: A Critic for Language Model Generation
Paper • 2308.04592 • Published • 32 -
CriticBench: Benchmarking LLMs for Critique-Correct Reasoning
Paper • 2402.14809 • Published • 3 -
DRLC: Reinforcement Learning with Dense Rewards from LLM Critic
Paper • 2401.07382 • Published • 2
-
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 74 -
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization
Paper • 2402.09320 • Published • 6 -
sDPO: Don't Use Your Data All at Once
Paper • 2403.19270 • Published • 36 -
Dueling RL: Reinforcement Learning with Trajectory Preferences
Paper • 2111.04850 • Published • 2
-
Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in Transformer Models
Paper • 2311.00871 • Published • 3 -
Can large language models explore in-context?
Paper • 2403.15371 • Published • 30 -
Data Distributional Properties Drive Emergent In-Context Learning in Transformers
Paper • 2205.05055 • Published • 2 -
Long-context LLMs Struggle with Long In-context Learning
Paper • 2404.02060 • Published • 35