DH

Danny Hernandez

cs.CLcs.LGcs.AIcs.CYstat.MLcs.CV

On Valency

published · living versions
W_8nzh2mbs·v1 · currentpublished
In-context Learning and Induction Heads
with Catherine Olsson, Nelson Elhage, Neel Nanda, Nicholas Joseph +21
1 version

Preprints & journals

16 papers in the corpus · 2020–2023
Towards Measuring the Representation of Subjective Global Opinions in Language Models2306.16388v2 · Esin Durmus, Karina Nguyen, Thomas I. Liao et al.2023 · 43 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
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
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
Scaling Laws for Transfer2102.01293v1 · Danny Hernandez, Jared Kaplan, Tom Henighan et al.2021 · 26 citationsarXiv
Measuring the Algorithmic Efficiency of Neural Networks2005.04305v1 · Danny Hernandez, Tom B. Brown2020 · 86 citationsarXiv
Career total: 19 works. 16 are in this corpus.

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