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Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 73 -
Learning From Mistakes Makes LLM Better Reasoner
Paper • 2310.20689 • Published • 29 -
Let's Verify Step by Step
Paper • 2305.20050 • Published • 10 -
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
Paper • 2308.00436 • Published • 22
Collections
Discover the best community collections!
Collections including paper arxiv:2312.09241
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Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 77 -
TinyGSM: achieving >80% on GSM8k with small language models
Paper • 2312.09241 • Published • 39 -
How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 42 -
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
Paper • 2305.14386 • Published
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Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 105 -
How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 42 -
BitDelta: Your Fine-Tune May Only Be Worth One Bit
Paper • 2402.10193 • Published • 22 -
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
Paper • 2402.09727 • Published • 38
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 147 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 30 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 23 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69
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aMUSEd: An Open MUSE Reproduction
Paper • 2401.01808 • Published • 29 -
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations
Paper • 2401.01885 • Published • 28 -
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity
Paper • 2401.00604 • Published • 6 -
LARP: Language-Agent Role Play for Open-World Games
Paper • 2312.17653 • Published • 32
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 147 -
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 97 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 94 -
LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Paper • 2312.11514 • Published • 259