JK
Jared Kaplan
hep-thcs.LGcs.CLcs.AIhep-phcond-mat.str-elcs.CYstat.MLcs.CRhep-ex
On Valency
published · living versionsW_sgh3nvvu·v1 · currentpublished
Reasoning Models Don't Always Say What They Think
with Yanda Chen, Joe Benton, Ansh Radhakrishnan, Jonathan Uesato +10
1 version
Preprints & journals
68 papers in the corpus · 2007–2025Reasoning Models Don't Always Say What They Think2505.05410v1 · Yanda Chen, Joe Benton, Ansh Radhakrishnan et al.2025 · 9 citationsarXivon Valency
Forecasting Rare Language Model Behaviors2502.16797v1 · Erik Jones, Meg Tong, Jesse Mu et al.2025 · 0 citationsarXiv
Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming2501.18837v1 · Mrinank Sharma, Meg Tong, Jesse Mu et al.2025 · 7 citationsarXiv
Alignment faking in large language models2412.14093v2 · Ryan Greenblatt, Carson Denison, Benjamin Wright et al.2024 · 26 citationsarXivon Valency
Clio: Privacy-Preserving Insights into Real-World AI Use2412.13678v1 · Alex Tamkin, Miles McCain, Kunal Handa et al.2024 · 8 citationsarXiv
Sabotage Evaluations for Frontier Models2410.21514v1 · Joe Benton, Misha Wagner, Eric Christiansen et al.2024 · 2 citationsarXiv
Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models2406.10162v3 · Carson Denison, Monte MacDiarmid, Fazl Barez et al.2024 · 9 citationsarXivon Valency
Explaining Neural Scaling Laws2102.06701v2 · Yasaman Bahri, Ethan Dyer, Jared Kaplan et al.2021 · 175 citationsPNAS 121 (27) e2311878121 (2024)
Towards Measuring the Representation of Subjective Global Opinions in Language Models2306.16388v2 · Esin Durmus, Karina Nguyen, Thomas I. Liao et al.2023 · 43 citationsarXiv
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training2401.05566v3 · Evan Hubinger, Carson Denison, Jesse Mu et al.2024 · 39 citationsarXivon Valency
Evaluating and Mitigating Discrimination in Language Model Decisions2312.03689v1 · Alex Tamkin, Amanda Askell, Liane Lovitt et al.2023 · 10 citationsarXiv
Specific versus General Principles for Constitutional AI2310.13798v1 · Sandipan Kundu, Yuntao Bai, Saurav Kadavath et al.2023 · 7 citationsarXiv
Studying Large Language Model Generalization with Influence Functions2308.03296v1 · Roger Grosse, Juhan Bae, Cem Anil et al.2023 · 26 citationsarXiv
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
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models2206.04615v3 · Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao et al.2022 · 565 citationsTransactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5Bvosj
The Capacity for Moral Self-Correction in Large Language Models2302.07459v2 · Deep Ganguli, Amanda Askell, Nicholas Schiefer et al.2023 · 53 citationsarXiv
Discovering Language Model Behaviors with Model-Written Evaluations2212.09251v1 · Ethan Perez, Sam Ringer, Kamil\.e Lukosi\=ut\.e et al.2022 · 224 citationsarXivon Valency
Constitutional AI: Harmlessness from AI Feedback2212.08073v1 · Yuntao Bai, Saurav Kadavath, Sandipan Kundu et al.2022 · 322 citationsarXivon Valency
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned2209.07858v2 · Deep Ganguli, Liane Lovitt, Jackson Kernion et al.2022 · 119 citationsarXivon Valency
Language Models (Mostly) Know What They Know2207.05221v4 · Saurav Kadavath, Tom Conerly, Amanda Askell et al.2022 · 169 citationsarXivon Valency
Measuring Progress on Scalable Oversight for Large Language Models2211.03540v2 · Samuel R. Bowman, Jeeyoon Hyun, Ethan Perez et al.2022 · 34 citationsarXiv
The Bulk-to-Boundary Propagator in Black Hole Microstate Backgrounds1810.02436v2 · Hongbin Chen, A. Liam Fitzpatrick, Jared Kaplan et al.2018 · 15 citationsarXiv
Predictability and Surprise in Large Generative Models2202.07785v2 · Deep Ganguli, Danny Hernandez, Liane Lovitt et al.2022 · 204 citationsarXiv
In-context Learning and Induction Heads2209.11895v1 · Catherine Olsson, Nelson Elhage, Neel Nanda et al.2022 · 87 citationsarXivon Valency
Toy Models of Superposition2209.10652v1 · Nelson Elhage, Tristan Hume, Catherine Olsson et al.2022 · 49 citationsarXiv
Scaling Laws and Interpretability of Learning from Repeated Data2205.10487v1 · Danny Hernandez, Tom Brown, Tom Conerly et al.2022 · 22 citationsarXiv
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback2204.05862v1 · Yuntao Bai, Andy Jones, Kamal Ndousse et al.2022 · 389 citationsarXiv
A General Language Assistant as a Laboratory for Alignment2112.00861v3 · Amanda Askell, Yuntao Bai, Anna Chen et al.2021 · 27 citationsarXiv
Causality Constraints in Large $N$ QCD Coupled to Gravity2009.08460v2 · Jared Kaplan, Sandipan Kundu2020 · 11 citationsPhys. Rev. D 104, 061901 (2021)
Evaluating Large Language Models Trained on Code2107.03374v2 · Mark Chen, Jerry Tworek, Heewoo Jun et al.2021 · 1,468 citationsarXivon Valency
Scaling Laws for Transfer2102.01293v1 · Danny Hernandez, Jared Kaplan, Tom Henighan et al.2021 · 26 citationsarXiv
Scaling Laws for Autoregressive Generative Modeling2010.14701v2 · Tom Henighan, Jared Kaplan, Mor Katz et al.2020 · 150 citationsarXiv
Language Models are Few-Shot Learners2005.14165v4 · Tom B. Brown, Benjamin Mann, Nick Ryder et al.2020 · 2,966 citationsarXiv
A Neural Scaling Law from the Dimension of the Data Manifold2004.10802v1 · Utkarsh Sharma, Jared Kaplan2020 · 20 citationsarXiv
An Empirical Model of Large-Batch Training1812.06162v1 · Sam McCandlish, Jared Kaplan, Dario Amodei et al.2018 · 129 citationsarXiv
A Numerical Approach to Virasoro Blocks and the Information Paradox1703.09727v1 · Hongbin Chen, Charles Hussong, Jared Kaplan et al.2017 · 82 citationsarXiv
Degenerate Operators and the $1/c$ Expansion: Lorentzian Resummations, High Order Computations, and Super-Virasoro Blocks1606.02659v1 · Hongbin Chen, A. Liam Fitzpatrick, Jared Kaplan et al.2016 · 42 citationsarXiv
On Information Loss in AdS$_3$/CFT$_2$1603.08925v3 · A. Liam Fitzpatrick, Jared Kaplan, Daliang Li et al.2016 · 27 citationsarXiv
Hawking from Catalan1510.00014v1 · A. Liam Fitzpatrick, Jared Kaplan, Matthew T. Walters et al.2015 · 84 citationsJHEP 05 (2016) 069
Conformal Blocks Beyond the Semi-Classical Limit1512.03052v3 · A. Liam Fitzpatrick, Jared Kaplan2015 · 100 citationsarXiv
A Quantum Correction To Chaos1601.06164v1 · A. Liam Fitzpatrick, Jared Kaplan2016 · 82 citationsarXiv
Virasoro Conformal Blocks and Thermality from Classical Background Fields1501.05315v3 · A. Liam Fitzpatrick, Jared Kaplan, Matthew T. Walters2015 · 329 citationsJHEP 11 (2015) 200
Eikonalization of Conformal Blocks1504.01737v3 · A. Liam Fitzpatrick, Jared Kaplan, Matthew T. Walters et al.2015 · 82 citationsJHEP 09 (2015) 019
AdS Field Theory from Conformal Field Theory1208.0337v1 · A. Liam Fitzpatrick, Jared Kaplan2012 · 119 citationsarXiv
Analyticity and the Holographic S-Matrix1111.6972v3 · A. Liam Fitzpatrick, Jared Kaplan2011 · 212 citationsarXiv
Unraveling L_{n,k}: Grassmannian Kinematics0912.0957v1 · Jared Kaplan2009 · 46 citationsarXiv
The S-Matrix in Twistor Space0903.2110v2 · Nima Arkani-Hamed, Freddy Cachazo, Clifford Cheung et al.2009 · 178 citationsarXiv
A Natural Language for AdS/CFT Correlators1107.1499v2 · A. Liam Fitzpatrick, Jared Kaplan, Joao Penedones et al.2011 · 273 citationsJHEP Vol. 2011, No. 11, 95
LHC Predictions from a Tevatron Anomaly in the Top Quark Forward-Backward Asymmetry1101.5203v1 · Yang Bai, JoAnne L. Hewett, Jared Kaplan et al.2011 · 120 citationsJHEP 1103:003,2011
Career total: 87 works. 68 are in this corpus.Showing the 50 most recent.
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