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Apr 26
Apr 26
Collections
Discover the best community collections!
Collections including paper arxiv:2401.05566
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May 30
May 30
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Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Paper • 2401.05566 • Published • 25 -
On the Societal Impact of Open Foundation Models
Paper • 2403.07918 • Published • 16 -
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Paper • 2310.17631 • Published • 32 -
Instruction Tuning for Large Language Models: A Survey
Paper • 2308.10792 • Published • 1
Collection by
Jan 22
Jan 22
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The Impact of Reasoning Step Length on Large Language Models
Paper • 2401.04925 • Published • 15 -
LLaMA Beyond English: An Empirical Study on Language Capability Transfer
Paper • 2401.01055 • Published • 54 -
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk
Paper • 2401.05033 • Published • 15 -
Towards Conversational Diagnostic AI
Paper • 2401.05654 • Published • 15
Collection by
Feb 23
Feb 23
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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
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Jun 7
Jun 7
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Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Paper • 2401.05566 • Published • 25 -
Weak-to-Strong Jailbreaking on Large Language Models
Paper • 2401.17256 • Published • 14 -
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks
Paper • 2401.17263 • Published • 1 -
Summon a Demon and Bind it: A Grounded Theory of LLM Red Teaming in the Wild
Paper • 2311.06237 • Published • 1
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Jan 13
Jan 13
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Jan 13
Jan 13
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Jan 13
Jan 13
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Jul 19
Jul 19
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Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Paper • 2401.05566 • Published • 25 -
Weak-to-Strong Jailbreaking on Large Language Models
Paper • 2401.17256 • Published • 14 -
How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts
Paper • 2402.13220 • Published • 12 -
The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions
Paper • 2404.13208 • Published • 38
Collection by
Feb 23
Feb 23
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Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM
Paper • 2401.02994 • Published • 47 -
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Paper • 2401.05566 • Published • 25 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 64 -
Zero Bubble Pipeline Parallelism
Paper • 2401.10241 • Published • 22