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LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 24 -
Attention Is All You Need
Paper • 1706.03762 • Published • 35 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 37 -
Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 31
Collections
Discover the best community collections!
Collections including paper arxiv:2005.11401
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Attention Is All You Need
Paper • 1706.03762 • Published • 35 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 24 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 37 -
Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 31
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Attention Is All You Need
Paper • 1706.03762 • Published • 35 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 9 -
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper • 2201.11903 • Published • 7 -
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 69
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Topologies of Reasoning: Demystifying Chains, Trees, and Graphs of Thoughts
Paper • 2401.14295 • Published • 3 -
A Latent Space Theory for Emergent Abilities in Large Language Models
Paper • 2304.09960 • Published • 3 -
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
Paper • 2310.01061 • Published • 2 -
Large Language Models as Analogical Reasoners
Paper • 2310.01714 • Published • 14
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JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Paper • 2310.17631 • Published • 31 -
AgentTuning: Enabling Generalized Agent Abilities for LLMs
Paper • 2310.12823 • Published • 33 -
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment
Paper • 2303.16634 • Published • 1 -
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems
Paper • 2310.12397 • Published • 1
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Detecting Pretraining Data from Large Language Models
Paper • 2310.16789 • Published • 9 -
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models
Paper • 2310.13671 • Published • 17 -
AutoMix: Automatically Mixing Language Models
Paper • 2310.12963 • Published • 14 -
An Emulator for Fine-Tuning Large Language Models using Small Language Models
Paper • 2310.12962 • Published • 13
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KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
Paper • 2310.15511 • Published • 4 -
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
Paper • 2310.13227 • Published • 11 -
Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning
Paper • 2310.04474 • Published • 2 -
AgentTuning: Enabling Generalized Agent Abilities for LLMs
Paper • 2310.12823 • Published • 33
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Attention Is All You Need
Paper • 1706.03762 • Published • 35 -
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Paper • 2005.11401 • Published • 11 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 24 -
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Paper • 2205.14135 • Published • 8