Melanie Subbiah

According to our database, Melanie Subbiah authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reading Subtext: Evaluating Large Language Models on Short Story Summarization with Writers.

Melanie Subbiah, Sean Zhang, Lydia B. Chilton, Kathleen R. McKeown

CoRR, 2024

2023

Detecting Harmful Agendas in News Articles.

Melanie Subbiah, Amrita Bhattacharjee, Bobby Yilun Hua, Tharindu Kumarage, Huan Liu, Kathleen R. McKeown

CoRR, 2023

Towards Detecting Harmful Agendas in News Articles.

Melanie Subbiah, Amrita Bhattacharjee, Bobby Yilun Hua, Tharindu Kumarage, Huan Liu, Kathleen R. McKeown

Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

Check-COVID: Fact-Checking COVID-19 News Claims with Scientific Evidence.

Gengyu Wang, Kate Harwood, Lawrence Chillrud, Amith Ananthram, Melanie Subbiah, Kathleen R. McKeown

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Unsupervised Selective Rationalization with Noise Injection.

Adam Storek, Melanie Subbiah, Kathleen R. McKeown

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Mitigating Covertly Unsafe Text within Natural Language Systems.

Alex Mei, Anisha Kabir, Sharon Levy, Melanie Subbiah, Emily Allaway, John Judge, Desmond Patton, Bruce Bimber, Kathleen R. McKeown, William Yang Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

SafeText: A Benchmark for Exploring Physical Safety in Language Models.

Sharon Levy, Emily Allaway, Melanie Subbiah, Lydia B. Chilton, Desmond Patton, Kathleen R. McKeown, William Yang Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Understanding Identity Signalling in Persuasive Online Text.

Melanie Subbiah, Kathleen R. McKeown

Proceedings of the Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, 2021

2020

Language Models are Few-Shot Learners.

Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, Dario Amodei

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020