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Collections including paper arxiv:2401.05566

Seminal AI Papers

A collection of top AI papers.

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 44
You Only Look Once: Unified, Real-Time Object Detection

Paper • 1506.02640 • Published Jun 8, 2015 • 1
HEp-2 Cell Image Classification with Deep Convolutional Neural Networks

Paper • 1504.02531 • Published Apr 10, 2015
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Paper • 2401.05566 • Published Jan 10 • 26

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Paper • 2401.05566 • Published Jan 10 • 26

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Paper • 2401.05566 • Published Jan 10 • 26
On the Societal Impact of Open Foundation Models

Paper • 2403.07918 • Published Feb 27 • 16
JudgeLM: Fine-tuned Large Language Models are Scalable Judges

Paper • 2310.17631 • Published Oct 26, 2023 • 33
Instruction Tuning for Large Language Models: A Survey

Paper • 2308.10792 • Published Aug 21, 2023 • 1

large language modelling

The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10 • 16
LLaMA Beyond English: An Empirical Study on Language Capability Transfer

Paper • 2401.01055 • Published Jan 2 • 54
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk

Paper • 2401.05033 • Published Jan 10 • 16
Towards Conversational Diagnostic AI

Paper • 2401.05654 • Published Jan 11 • 16

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Paper • 2401.05566 • Published Jan 10 • 26
Weak-to-Strong Jailbreaking on Large Language Models

Paper • 2401.17256 • Published Jan 30 • 15
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks

Paper • 2401.17263 • Published Jan 30 • 1
Summon a Demon and Bind it: A Grounded Theory of LLM Red Teaming in the Wild

Paper • 2311.06237 • Published Nov 10, 2023 • 1

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Paper • 2401.05566 • Published Jan 10 • 26

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Paper • 2401.05566 • Published Jan 10 • 26

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Paper • 2401.05566 • Published Jan 10 • 26

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Paper • 2401.05566 • Published Jan 10 • 26
Weak-to-Strong Jailbreaking on Large Language Models

Paper • 2401.17256 • Published Jan 30 • 15
How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts

Paper • 2402.13220 • Published Feb 20 • 13
The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions

Paper • 2404.13208 • Published Apr 19 • 38

Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM

Paper • 2401.02994 • Published Jan 4 • 48
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Paper • 2401.05566 • Published Jan 10 • 26
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10 • 65
Zero Bubble Pipeline Parallelism

Paper • 2401.10241 • Published Nov 30, 2023 • 23

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