Collections
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Collections including paper arxiv:2401.17464
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RoFormer: Enhanced Transformer with Rotary Position Embedding
Paper • 2104.09864 • Published • 9 -
Attention Is All You Need
Paper • 1706.03762 • Published • 41 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 29 -
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Paper • 2205.14135 • Published • 10
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Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 98 -
How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 38 -
BitDelta: Your Fine-Tune May Only Be Worth One Bit
Paper • 2402.10193 • Published • 17 -
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
Paper • 2402.09727 • Published • 35
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Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 16 -
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation
Paper • 2401.15688 • Published • 11 -
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Paper • 2401.15024 • Published • 67 -
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities
Paper • 2401.15071 • Published • 34
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 21 -
Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 16 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 27 -
The Impact of Reasoning Step Length on Large Language Models
Paper • 2401.04925 • Published • 15