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Attention Is All You Need
Paper • 1706.03762 • Published • 44 -
You Only Look Once: Unified, Real-Time Object Detection
Paper • 1506.02640 • Published • 1 -
HEp-2 Cell Image Classification with Deep Convolutional Neural Networks
Paper • 1504.02531 • Published -
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Paper • 2401.05566 • Published • 25
Collections
Discover the best community collections!
Collections including paper arxiv:2005.11401
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LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 30 -
Attention Is All You Need
Paper • 1706.03762 • Published • 44 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 47 -
Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 36
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Attention Is All You Need
Paper • 1706.03762 • Published • 44 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 30 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 47 -
Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 36
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Attention Is All You Need
Paper • 1706.03762 • Published • 44 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 11 -
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper • 2201.11903 • Published • 9 -
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 70
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Graph-enhanced Large Language Models in Asynchronous Plan Reasoning
Paper • 2402.02805 • Published • 1 -
Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modeling
Paper • 1906.07241 • Published • 2 -
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
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JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Paper • 2310.17631 • Published • 32 -
AgentTuning: Enabling Generalized Agent Abilities for LLMs
Paper • 2310.12823 • Published • 35 -
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment
Paper • 2303.16634 • Published • 3 -
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 • 10 -
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models
Paper • 2310.13671 • Published • 18 -
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 • 14
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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 • 12 -
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 • 35