Esin Durmus

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Faisal LadhakNvidiaVerificeret mail på nvidia.com
Tatsunori HashimotoAssistant Professor, StanfordVerificeret mail på stanford.edu
Claire CardieProfessor of Computer Science, Cornell UniversityVerificeret mail på cs.cornell.edu
Deep GanguliAnthropicVerificeret mail på cns.nyu.edu
Rishi BommasaniCS PhD, Stanford UniversityVerificeret mail på stanford.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityVerificeret mail på cs.stanford.edu
Kathleen McKeownProfessor of Computer Science and Director, Data Science Institute, Columbia UniversityVerificeret mail på cs.columbia.edu
Alex TamkinResearch Scientist, AnthropicVerificeret mail på cs.stanford.edu
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityVerificeret mail på stanford.edu
He HeNew York UniversityVerificeret mail på cs.nyu.edu
Mona DiabProfessor & Director of Language Technologies Institute, Carnegie Mellon University, ACL FellowVerificeret mail på andrew.cmu.edu
Jialu LiUNC Chapel HillVerificeret mail på cs.unc.edu
Arzoo KatiyarPenn State UniversityVerificeret mail på psu.edu
Vlad NiculaeUniversity of AmsterdamVerificeret mail på uva.nl
Kai SunFacebook, Cornell UniversityVerificeret mail på fb.com
Xinya DuUniversity of Texas at Dallas, CS; UIUC CS; Cornell University, CSVerificeret mail på utdallas.edu
Xilun ChenMeta FAIRVerificeret mail på fb.com
Yao ChengCornell UniversityVerificeret mail på cornell.edu
Barbara PlankProfessor, LMU Munich, Visiting Prof ITU CopenhagenVerificeret mail på lmu.de
Viviana PattiAssociate Professor of Computer Science, Università diTorino, Dipartimento di InformaticaVerificeret mail på di.unito.it

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Esin Durmus

Anthropic

Verificeret mail på stanford.edu - Startside

Large Language Models Societal Impacts Evaluating AI Models AI Safety


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021	4917	2021
Holistic evaluation of language models P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ... arXiv preprint arXiv:2211.09110, 2022	1267	2022
Benchmarking large language models for news summarization T Zhang, F Ladhak, E Durmus, P Liang, K McKeown, TB Hashimoto Transactions of the Association for Computational Linguistics 12, 39-57, 2024	477	2024
FEQA: A question answering evaluation framework for faithfulness assessment in abstractive summarization E Durmus, H He, M Diab ACL, 2020	428	2020
Whose opinions do language models reflect? S Santurkar, E Durmus, F Ladhak, C Lee, P Liang, T Hashimoto International Conference on Machine Learning, 29971-30004, 2023	401	2023
Easily accessible text-to-image generation amplifies demographic stereotypes at large scale F Bianchi, P Kalluri, E Durmus, F Ladhak, M Cheng, D Nozza, ... Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023	296	2023
WikiLingua: A new benchmark dataset for cross-lingual abstractive summarization F Ladhak, E Durmus, C Cardie, K McKeown arXiv preprint arXiv:2010.03093, 2020	224	2020
Scaling monosemanticity: Extracting interpretable features from claude 3 sonnet A Templeton Anthropic, 2024	219	2024
Towards understanding sycophancy in language models M Sharma, M Tong, T Korbak, D Duvenaud, A Askell, SR Bowman, ... arXiv preprint arXiv:2310.13548, 2023	181	2023
Towards measuring the representation of subjective global opinions in language models E Durmus, K Nguyen, TI Liao, N Schiefer, A Askell, A Bakhtin, C Chen, ... arXiv preprint arXiv:2306.16388, 2023	176	2023
The gem benchmark: Natural language generation, its evaluation and metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... arXiv preprint arXiv:2102.01672, 2021	170	2021
Marked personas: Using natural language prompts to measure stereotypes in language models M Cheng, E Durmus, D Jurafsky arXiv preprint arXiv:2305.18189, 2023	147	2023
Studying large language model generalization with influence functions R Grosse, J Bae, C Anil, N Elhage, A Tamkin, A Tajdini, B Steiner, D Li, ... arXiv preprint arXiv:2308.03296, 2023	131	2023
Evaluating human-language model interaction M Lee, M Srivastava, A Hardy, J Thickstun, E Durmus, A Paranjape, ... arXiv preprint arXiv:2212.09746, 2022	123	2022
Measuring faithfulness in chain-of-thought reasoning T Lanham, A Chen, A Radhakrishnan, B Steiner, C Denison, ... arXiv preprint arXiv:2307.13702, 2023	106	2023
Many-shot Jailbreaking C Anil, E Durmus, M Sharma, J Benton, S Kundu, J Batson, N Rimsky, ...	101	2024
Exploring the role of prior beliefs for argument persuasion E Durmus, C Cardie NAACL, 2018	81	2018
Question decomposition improves the faithfulness of model-generated reasoning A Radhakrishnan, K Nguyen, A Chen, C Chen, C Denison, D Hernandez, ... arXiv preprint arXiv:2307.11768, 2023	76*	2023
Faithful or extractive? on mitigating the faithfulness-abstractiveness trade-off in abstractive summarization F Ladhak, E Durmus, H He, C Cardie, K McKeown arXiv preprint arXiv:2108.13684, 2021	75	2021
Evaluating and mitigating discrimination in language model decisions A Tamkin, A Askell, L Lovitt, E Durmus, N Joseph, S Kravec, K Nguyen, ... arXiv preprint arXiv:2312.03689, 2023	56	2023

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