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Apr 26, 2024
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Discover the best community collections!
Collections including paper arxiv:2401.05566
Collection by
Jan 22, 2024
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The Impact of Reasoning Step Length on Large Language Models
Paper • 2401.04925 • Published • 18 -
LLaMA Beyond English: An Empirical Study on Language Capability Transfer
Paper • 2401.01055 • Published • 55 -
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk
Paper • 2401.05033 • Published • 18 -
Towards Conversational Diagnostic AI
Paper • 2401.05654 • Published • 20
Collection by
Jun 7, 2024
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Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Paper • 2401.05566 • Published • 30 -
Weak-to-Strong Jailbreaking on Large Language Models
Paper • 2401.17256 • Published • 16 -
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
Paper • 2311.06237 • Published • 1
Collection by
Jan 13, 2024
Collection by
Jul 19, 2024
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Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Paper • 2401.05566 • Published • 30 -
Weak-to-Strong Jailbreaking on Large Language Models
Paper • 2401.17256 • Published • 16 -
How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts
Paper • 2402.13220 • Published • 14 -
The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions
Paper • 2404.13208 • Published • 40
Collection by
May 30, 2024
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Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Paper • 2401.05566 • Published • 30 -
On the Societal Impact of Open Foundation Models
Paper • 2403.07918 • Published • 17 -
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Paper • 2310.17631 • Published • 35 -
Instruction Tuning for Large Language Models: A Survey
Paper • 2308.10792 • Published • 1
Collection by
Feb 23, 2024
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Attention Is All You Need
Paper • 1706.03762 • Published • 108 -
You Only Look Once: Unified, Real-Time Object Detection
Paper • 1506.02640 • Published • 3 -
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 • 30
Collection by
Jan 13, 2024
Collection by
Jan 13, 2024
Collection by
5 days ago
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Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM
Paper • 2401.02994 • Published • 52 -
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Paper • 2401.05566 • Published • 30 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69 -
Zero Bubble Pipeline Parallelism
Paper • 2401.10241 • Published • 25
Collection by
Apr 26, 2024
Collection by
May 30, 2024
-
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Paper • 2401.05566 • Published • 30 -
On the Societal Impact of Open Foundation Models
Paper • 2403.07918 • Published • 17 -
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Paper • 2310.17631 • Published • 35 -
Instruction Tuning for Large Language Models: A Survey
Paper • 2308.10792 • Published • 1
Collection by
Jan 22, 2024
-
The Impact of Reasoning Step Length on Large Language Models
Paper • 2401.04925 • Published • 18 -
LLaMA Beyond English: An Empirical Study on Language Capability Transfer
Paper • 2401.01055 • Published • 55 -
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk
Paper • 2401.05033 • Published • 18 -
Towards Conversational Diagnostic AI
Paper • 2401.05654 • Published • 20
Collection by
Feb 23, 2024
-
Attention Is All You Need
Paper • 1706.03762 • Published • 108 -
You Only Look Once: Unified, Real-Time Object Detection
Paper • 1506.02640 • Published • 3 -
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 • 30
Collection by
Jun 7, 2024
-
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Paper • 2401.05566 • Published • 30 -
Weak-to-Strong Jailbreaking on Large Language Models
Paper • 2401.17256 • Published • 16 -
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
Paper • 2311.06237 • Published • 1
Collection by
Jan 13, 2024
Collection by
Jan 13, 2024
Collection by
Jan 13, 2024
Collection by
Jul 19, 2024
-
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Paper • 2401.05566 • Published • 30 -
Weak-to-Strong Jailbreaking on Large Language Models
Paper • 2401.17256 • Published • 16 -
How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts
Paper • 2402.13220 • Published • 14 -
The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions
Paper • 2404.13208 • Published • 40
Collection by
5 days ago
-
Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM
Paper • 2401.02994 • Published • 52 -
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Paper • 2401.05566 • Published • 30 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69 -
Zero Bubble Pipeline Parallelism
Paper • 2401.10241 • Published • 25