most citedSleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

39 citations · 87 across the 5 of their papers we have counts for

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cs.CL2024★ 2 cited

Gradient-Based Language Model Red Teaming

Nevan Wichers, Carson Denison, Ahmad Beirami

Red teaming is a common strategy for identifying weaknesses in generative language models (LMs), where adversarial prompts are produced that trigger an LM to generate unsafe respon…

cs.CL2023★ 8 cited

Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Ansh Radhakrishnan, Karina Nguyen, Anna Chen +21

As large language models (LLMs) perform more difficult tasks, it becomes harder to verify the correctness and safety of their behavior. One approach to help with this issue is to p…