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Jan 7
Jan 7
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Collections including paper arxiv:2306.09896
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Feb 20, 2024
Feb 20, 2024
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A Zero-Shot Language Agent for Computer Control with Structured Reflection
Paper • 2310.08740 • Published • 16 -
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
Collection by
Oct 4, 2024
Oct 4, 2024
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Creative Robot Tool Use with Large Language Models
Paper • 2310.13065 • Published • 9 -
CodeCoT and Beyond: Learning to Program and Test like a Developer
Paper • 2308.08784 • Published • 5 -
Lemur: Harmonizing Natural Language and Code for Language Agents
Paper • 2310.06830 • Published • 34 -
CodePlan: Repository-level Coding using LLMs and Planning
Paper • 2309.12499 • Published • 77
Collection by
Jun 18, 2024
Jun 18, 2024
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Moral Foundations of Large Language Models
Paper • 2310.15337 • Published • 1 -
Specific versus General Principles for Constitutional AI
Paper • 2310.13798 • Published • 3 -
Contrastive Prefence Learning: Learning from Human Feedback without RL
Paper • 2310.13639 • Published • 25 -
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
Paper • 2309.00267 • Published • 48
Collection by
Oct 15, 2023
Oct 15, 2023
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AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn
Paper • 2306.08640 • Published • 26 -
Demystifying GPT Self-Repair for Code Generation
Paper • 2306.09896 • Published • 19 -
Textbooks Are All You Need
Paper • 2306.11644 • Published • 142 -
nampdn-ai/tiny-codes
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