Melanie Subbiah

According to our database, Melanie Subbiah authored at least 16 papers between 2020 and 2026.

Collaborative distances:

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

2026

Whose Story Gets Told? Positionality and Bias in LLM Summaries of Life Narratives.

Melanie Subbiah, Haaris Mian, Nicholas Deas, Ananya Mayukha, Dan P. McAdams, Kathleen McKeown

CoRR, April, 2026

Computational Representations of Character Significance in Novels.

Haaris Mian, Melanie Subbiah, Sharon Marcus, Nora Shaalan, Kathleen McKeown

CoRR, January, 2026

2025

Guiding LLM Decision-Making with Fairness Reward Models.

Zara Hall, Melanie Subbiah, Thomas P. Zollo, Kathleen McKeown, Richard S. Zemel

CoRR, July, 2025

AdvSumm: Adversarial Training for Bias Mitigation in Text Summarization.

Mukur Gupta, Nikhil Reddy Varimalla, Nicholas Deas, Melanie Subbiah, Kathleen McKeown

CoRR, June, 2025

Counterfactual Simulatability of LLM Explanations for Generation Tasks.

Marvin Limpijankit, Yanda Chen, Melanie Subbiah, Nicholas Deas, Kathleen McKeown

Proceedings of the 18th International Natural Language Generation Conference, 2025

Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understanding.

Melanie Subbiah, Akankshya Mishra, Grace Kim, Liyan Tang, Greg Durrett, Kathleen McKeown

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

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

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

Trans. Assoc. Comput. Linguistics, 2024

STORYSUMM: Evaluating Faithfulness in Story Summarization.

Melanie Subbiah, Faisal Ladhak, Akankshya Mishra, Griffin Adams, Lydia B. Chilton, Kathleen R. McKeown

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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