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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 144 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 28 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 21 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 65
Collections
Discover the best community collections!
Collections including paper arxiv:2311.10702
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The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs
Paper • 2210.14986 • Published • 5 -
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2
Paper • 2311.10702 • Published • 18 -
Large Language Models as Optimizers
Paper • 2309.03409 • Published • 75 -
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Paper • 2309.04269 • Published • 32
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BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
Paper • 2211.05100 • Published • 28 -
CsFEVER and CTKFacts: Acquiring Czech data for fact verification
Paper • 2201.11115 • Published -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 16 -
FinGPT: Large Generative Models for a Small Language
Paper • 2311.05640 • Published • 27
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DreamLLM: Synergistic Multimodal Comprehension and Creation
Paper • 2309.11499 • Published • 58 -
FoleyGen: Visually-Guided Audio Generation
Paper • 2309.10537 • Published • 8 -
Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V
Paper • 2310.11441 • Published • 26 -
The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
Paper • 2311.10093 • Published • 57
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Large Language Models as Optimizers
Paper • 2309.03409 • Published • 75 -
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Paper • 2309.04269 • Published • 32 -
Textbooks Are All You Need II: phi-1.5 technical report
Paper • 2309.05463 • Published • 87 -
Efficient Memory Management for Large Language Model Serving with PagedAttention
Paper • 2309.06180 • Published • 25