AR
Ansh Radhakrishnan
cs.CLcs.AIcs.LGcs.CRcs.SE
On Valency
published · living versionsW_sgh3nvvu·v1 · currentpublished
Reasoning Models Don't Always Say What They Think
with Yanda Chen, Joe Benton, Jonathan Uesato, Carson Denison +10
1 version
Preprints & journals
6 papers in the corpus · 2023–2025Reasoning Models Don't Always Say What They Think2505.05410v1 · Yanda Chen, Joe Benton, Ansh Radhakrishnan et al.2025 · 9 citationsarXivon Valency
Adaptive Deployment of Untrusted LLMs Reduces Distributed Threats2411.17693v1 · Jiaxin Wen, Vivek Hebbar, Caleb Larson et al.2024 · 1 citationarXiv
Debating with More Persuasive LLMs Leads to More Truthful Answers2402.06782v4 · Akbir Khan, John Hughes, Dan Valentine et al.2024 · 11 citationsarXiv
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training2401.05566v3 · Evan Hubinger, Carson Denison, Jesse Mu et al.2024 · 39 citationsarXivon Valency
Measuring Faithfulness in Chain-of-Thought Reasoning2307.13702v1 · Tamera Lanham, Anna Chen, Ansh Radhakrishnan et al.2023 · 32 citationsarXiv
Question Decomposition Improves the Faithfulness of Model-Generated Reasoning2307.11768v2 · Ansh Radhakrishnan, Karina Nguyen, Anna Chen et al.2023 · 8 citationsarXiv
Career total: 7 works. 6 are in this corpus.
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