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The Generative AI Paradox: "What It Can Create, It May Not Understand"
Paper • 2311.00059 • Published • 18 -
Teaching Large Language Models to Reason with Reinforcement Learning
Paper • 2403.04642 • Published • 46 -
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM
Paper • 2403.07816 • Published • 39 -
PERL: Parameter Efficient Reinforcement Learning from Human Feedback
Paper • 2403.10704 • Published • 57
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Collections including paper arxiv:2403.04642
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MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
Paper • 2310.03731 • Published • 29 -
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
Paper • 2310.13227 • Published • 12 -
ChipNeMo: Domain-Adapted LLMs for Chip Design
Paper • 2311.00176 • Published • 8 -
Language Models can be Logical Solvers
Paper • 2311.06158 • Published • 18