A Zero-Shot Language Agent for Computer Control with Structured Reflection
Paper
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2310.08740
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Published
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14
Reflection
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ExpeL: LLM Agents Are Experiential Learners
Paper • 2308.10144 • Published • 2 -
Demystifying GPT Self-Repair for Code Generation
Paper • 2306.09896 • Published • 19 -
Large Language Models are Better Reasoners with Self-Verification
Paper • 2212.09561 • Published • 1 -
Improving Code Generation by Training with Natural Language Feedback
Paper • 2303.16749 • Published • 1 -
Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves
Paper • 2311.04205 • Published • 5 -
Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework
Paper • 2305.03268 • Published • 2 -
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies
Paper • 2308.03188 • Published • 2 -
Forward-Backward Reasoning in Large Language Models for Mathematical Verification
Paper • 2308.07758 • Published • 4 -
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Paper • 2203.11171 • Published • 1 -
Semantic Consistency for Assuring Reliability of Large Language Models
Paper • 2308.09138 • Published • 2 -
Introspective Tips: Large Language Model for In-Context Decision Making
Paper • 2305.11598 • Published • 1 -
Self-Evaluation Improves Selective Generation in Large Language Models
Paper • 2312.09300 • Published • 14 -
The ART of LLM Refinement: Ask, Refine, and Trust
Paper • 2311.07961 • Published • 10 -
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
Paper • 2402.04858 • Published • 14 -
SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning
Paper • 2401.07950 • Published • 4