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Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents
Paper • 2408.07199 • Published • 20 -
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Paper • 2403.09629 • Published • 72 -
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
Paper • 2406.12050 • Published • 17 -
Let's Verify Step by Step
Paper • 2305.20050 • Published • 9
Collections
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Collections including paper arxiv:2409.12917
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 142 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 10 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 49 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 44
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INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models
Paper • 2306.04757 • Published • 6 -
Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation
Paper • 2308.01240 • Published • 2 -
Can Large Language Models Understand Real-World Complex Instructions?
Paper • 2309.09150 • Published • 2 -
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection
Paper • 2308.10819 • Published
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Training Language Models to Self-Correct via Reinforcement Learning
Paper • 2409.12917 • Published • 131 -
Recursive Introspection: Teaching Language Model Agents How to Self-Improve
Paper • 2407.18219 • Published • 3 -
Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems
Paper • 2408.16293 • Published • 24 -
Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models
Paper • 2409.04787 • Published