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Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning
Paper • 2402.04833 • Published • 6 -
A Closer Look at the Limitations of Instruction Tuning
Paper • 2402.05119 • Published • 5 -
STaR-GATE: Teaching Language Models to Ask Clarifying Questions
Paper • 2403.19154 • Published -
The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism
Paper • 2407.10457 • Published • 22
Collections
Discover the best community collections!
Collections including paper arxiv:2402.05119
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Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 99 -
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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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 21 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 80 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 144 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25