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The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs
Paper • 2210.14986 • Published • 4 -
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
Collections
Discover the best community collections!
Collections including paper arxiv:2312.15685
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ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 63 -
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Paper • 2401.15024 • Published • 67 -
Your Transformer is Secretly Linear
Paper • 2405.12250 • Published • 149 -
Yi: Open Foundation Models by 01.AI
Paper • 2403.04652 • Published • 61
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INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning
Paper • 2401.06532 • Published • 10 -
Textbooks Are All You Need II: phi-1.5 technical report
Paper • 2309.05463 • Published • 86 -
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
Paper • 2309.00267 • Published • 47 -
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
Paper • 2312.15685 • Published • 17
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 140 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 27 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 20 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 63
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LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Paper • 2309.12307 • Published • 86 -
NEFTune: Noisy Embeddings Improve Instruction Finetuning
Paper • 2310.05914 • Published • 14 -
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 56 -
Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon
Paper • 2401.03462 • Published • 26
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What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
Paper • 2312.15685 • Published • 17 -
mistralai/Mixtral-8x7B-Instruct-v0.1
Text Generation • Updated • 562k • • 4.11k -
microsoft/phi-2
Text Generation • Updated • 335k • 3.23k -
TinyLlama/TinyLlama-1.1B-Chat-v1.0
Text Generation • Updated • 622k • 1.06k