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Can large language models explore in-context?
Paper • 2403.15371 • Published • 34 -
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
Paper • 2406.04271 • Published • 31 -
CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis
Paper • 2407.13301 • Published • 57 -
WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents
Paper • 2410.07484 • Published • 51
Wayn Wang
henern
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microsoft/bitnet-b1.58-2B-4T
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Neph0s/CoSER
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Conifer: Improving Complex Constrained Instruction-Following Ability of
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Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment
Paper • 2401.12474 • Published • 37 -
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Paper • 2403.12968 • Published • 26 -
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models
Paper • 2310.00746 • Published • 1 -
LESS: Selecting Influential Data for Targeted Instruction Tuning
Paper • 2402.04333 • Published • 3
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