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Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 109 -
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
Collections
Discover the best community collections!
Collections including paper arxiv:2311.11045
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 31 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 22 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69
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SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 60 -
PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU
Paper • 2312.12456 • Published • 44 -
Cached Transformers: Improving Transformers with Differentiable Memory Cache
Paper • 2312.12742 • Published • 14 -
Mini-GPTs: Efficient Large Language Models through Contextual Pruning
Paper • 2312.12682 • Published • 10
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OpenChat: Advancing Open-source Language Models with Mixed-Quality Data
Paper • 2309.11235 • Published • 15 -
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 77 -
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Paper • 2309.12284 • Published • 18
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Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 77 -
Learning From Mistakes Makes LLM Better Reasoner
Paper • 2310.20689 • Published • 29 -
Let's Verify Step by Step
Paper • 2305.20050 • Published • 11 -
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
Paper • 2308.00436 • Published • 23
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Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model
Paper • 2402.07827 • Published • 48 -
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Paper • 2104.08663 • Published • 3 -
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 77 -
Generative Representational Instruction Tuning
Paper • 2402.09906 • Published • 54
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aMUSEd: An Open MUSE Reproduction
Paper • 2401.01808 • Published • 31 -
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 • 33
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Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 109 -
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
-
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model
Paper • 2402.07827 • Published • 48 -
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Paper • 2104.08663 • Published • 3 -
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 77 -
Generative Representational Instruction Tuning
Paper • 2402.09906 • Published • 54
-
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 31 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 22 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69
-
aMUSEd: An Open MUSE Reproduction
Paper • 2401.01808 • Published • 31 -
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 • 33
-
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 60 -
PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU
Paper • 2312.12456 • Published • 44 -
Cached Transformers: Improving Transformers with Differentiable Memory Cache
Paper • 2312.12742 • Published • 14 -
Mini-GPTs: Efficient Large Language Models through Contextual Pruning
Paper • 2312.12682 • Published • 10
-
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data
Paper • 2309.11235 • Published • 15 -
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 77 -
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Paper • 2309.12284 • Published • 18
-
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 77 -
Learning From Mistakes Makes LLM Better Reasoner
Paper • 2310.20689 • Published • 29 -
Let's Verify Step by Step
Paper • 2305.20050 • Published • 11 -
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
Paper • 2308.00436 • Published • 23