Snigdha Chaturvedi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
60
Venues
17
Active years
2010–2026
Best venue rank
A*
Where they publish
Papers
60 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | A Dialogue-Based Learning Analytics Framework for Collaborative Game-Based Learning. | Yeo Jin Kim, Daeun Hong, Tianshu Wang, Wookhee Min, Snigdha Chaturvedi, Cindy E. Hmelo-Silver, James C. Lester |
| 2026 | ACL | CASPER in the Machine: Insights into Character Variety in LLM-Generated Stories. | Anneliese Brei, Abhisheik Sharma, Nicholas Sanaie, Lu Wang, Snigdha Chaturvedi |
| 2026 | ACL | Do LLM Agents Mirror Socio-Cognitive Effects in Power-Asymmetric Conversations? | Anvesh Rao Vijjini, Sagar Manjunath, Snigdha Chaturvedi |
| 2026 | LAK | Collaborative Dialogue Analysis for Productive Problem Solving. | Yeo Jin Kim, Daeun Hong, Xiaotian Zou, Cindy E. Hmelo-Silver, Wookhee Min, Snigdha Chaturvedi, James C. Lester |
| 2025 | ACL | Classifying Unreliable Narrators with Large Language Models. | Anneliese Brei, Katharine Henry, Abhisheik Sharma, Shashank Srivastava, Snigdha Chaturvedi |
| 2025 | ACL | Improving Fairness of Large Language Models in Multi-document Summarization. | Haoyuan Li, Rui Zhang, Snigdha Chaturvedi |
| 2025 | AIED | Collaborative Problem-Solving Dialogue Analysis with Interpretable Temporal Clustering. | Yeo Jin Kim, Daeun Hong, Wookhee Min, Snigdha Chaturvedi, Cindy E. Hmelo-Silver, James C. Lester |
| 2025 | AISTATS | Fundamental Limits of Perfect Concept Erasure. | Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Ahmad Beirami, Rahul Kidambi, Nicholas Monath, Amr Ahmed, Snigdha Chaturvedi |
| 2025 | ICLR | Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning. | Somnath Basu Roy Chowdhury, Krzysztof Marcin Choromanski, Arijit Sehanobish, Kumar Avinava Dubey, Snigdha Chaturvedi |
| 2025 | NAACL | Coverage-based Fairness in Multi-document Summarization. | Haoyuan Li, Yusen Zhang, Rui Zhang, Snigdha Chaturvedi |
| 2025 | NAACL | Exploring Safety-Utility Trade-Offs in Personalized Language Models. | Anvesh Rao Vijjini, Somnath Basu Roy Chowdhury, Snigdha Chaturvedi |
| 2024 | EMNLP | Dual Process Masking for Dialogue Act Recognition. | Yeo Jin Kim, Halim Acosta, Wookhee Min, Jonathan P. Rowe, Bradford W. Mott, Snigdha Chaturvedi, James C. Lester |
| 2024 | EMNLP | SocialGaze: Improving the Integration of Human Social Norms in Large Language Models. | Anvesh Rao Vijjini, Rakesh R. Menon, Jiayi Fu, Shashank Srivastava, Snigdha Chaturvedi |
| 2024 | ICLR | Enhancing Group Fairness in Online Settings Using Oblique Decision Forests. | Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi |
| 2024 | NAACL | Returning to the Start: Generating Narratives with Related Endpoints. | Anneliese Brei, Chao Zhao, Snigdha Chaturvedi |
| 2024 | NAACL | Rationale-based Opinion Summarization. | Haoyuan Li, Snigdha Chaturvedi |
| 2023 | AAAI | Sustaining Fairness via Incremental Learning. | Somnath Basu Roy Chowdhury, Snigdha Chaturvedi |
| 2023 | ACL | Improving Classroom Dialogue Act Recognition from Limited Labeled Data with Self-Supervised Contrastive Learning Classifiers. | Vikram Kumaran, Jonathan P. Rowe, Bradford W. Mott, Snigdha Chaturvedi, James C. Lester |
| 2023 | ACL | Aspect-aware Unsupervised Extractive Opinion Summarization. | Haoyuan Li, Somnath Basu Roy Chowdhury, Snigdha Chaturvedi |
| 2023 | EACL | Curricular Next Conversation Prediction Pretraining for Transcript Segmentation. | Anvesh Rao Vijjini, Hanieh Deilamsalehy, Franck Dernoncourt, Snigdha Chaturvedi |
| 2023 | EMNLP | Unsupervised Opinion Summarization Using Approximate Geodesics. | Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi |
| 2023 | EMNLP | Affective and Dynamic Beam Search for Story Generation. | Tenghao Huang, Ehsan Qasemi, Bangzheng Li, He Wang, Faeze Brahman, Muhao Chen, Snigdha Chaturvedi |
| 2023 | EMNLP | PARROT: Zero-Shot Narrative Reading Comprehension via Parallel Reading. | Chao Zhao, Anvesh Rao Vijjini, Snigdha Chaturvedi |
| 2023 | ICML | Efficient Graph Field Integrators Meet Point Clouds. | Krzysztof Marcin Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Deepali Jain, Tams Sarls, Snigdha Chaturvedi, Adrian Weller |
| 2022 | ACL | Unsupervised Extractive Opinion Summarization Using Sparse Coding. | Somnath Basu Roy Chowdhury, Chao Zhao, Snigdha Chaturvedi |
| 2022 | ACL | Read Top News First: A Document Reordering Approach for Multi-Document News Summarization. | Chao Zhao, Tenghao Huang, Somnath Basu Roy Chowdhury, Muthu Kumar Chandrasekaran, Kathleen R. McKeown, Snigdha Chaturvedi |
| 2022 | EMNLP | Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation. | Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao |
| 2022 | EMNLP | SPE: Symmetrical Prompt Enhancement for Fact Probing. | Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi |
| 2022 | EMNLP | Towards Inter-character Relationship-driven Story Generation. | Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi |
| 2022 | EMNLP | NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. | Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi |
| 2022 | NAACL | Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach. | Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi |
| 2021 | ACL | How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? | Sayan Ghosh, Zheng Qi, Snigdha Chaturvedi, Shashank Srivastava |
| 2021 | EMNLP | "Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding. | Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi |
| 2021 | EMNLP | Is Everything in Order? A Simple Way to Order Sentences. | Somnath Basu Roy Chowdhury, Faeze Brahman, Snigdha Chaturvedi |
| 2021 | EMNLP | Adversarial Scrubbing of Demographic Information for Text Classification. | Somnath Basu Roy Chowdhury, Sayan Ghosh, Yiyuan Li, Junier Oliva, Shashank Srivastava, Snigdha Chaturvedi |
| 2021 | EMNLP | Uncovering Implicit Gender Bias in Narratives through Commonsense Inference. | Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi |
| 2020 | AAAI | Lessons Learned from Teaching Machine Learning and Natural Language Processing to High School Students. | Narges Norouzi, Snigdha Chaturvedi, Matthew Rutledge |
| 2020 | AAAI | Weakly-Supervised Opinion Summarization by Leveraging External Information. | Chao Zhao, Snigdha Chaturvedi |
| 2020 | ACL | Predicting Depression in Screening Interviews from Latent Categorization of Interview Prompts. | Alex Rinaldi, Jean E. Fox Tree, Snigdha Chaturvedi |
| 2020 | ACL | Bridging the Structural Gap Between Encoding and Decoding for Data-To-Text Generation. | Chao Zhao, Marilyn A. Walker, Snigdha Chaturvedi |
| 2020 | EDM | Effective Forum Curation via Multi-task Learning. | Faeze Brahman, Nikhil Varghese, Suma Bhat, Snigdha Chaturvedi |
| 2020 | EMNLP | Modeling Protagonist Emotions for Emotion-Aware Storytelling. | Faeze Brahman, Snigdha Chaturvedi |
| 2020 | IJCNLP | Cue Me In: Content-Inducing Approaches to Interactive Story Generation. | Faeze Brahman, Alexandru Petrusca, Snigdha Chaturvedi |
| 2019 | CoNLL | Named Entity Recognition with Partially Annotated Training Data. | Stephen Mayhew, Snigdha Chaturvedi, Chen-Tse Tsai, Dan Roth |
| 2019 | LAK | DiAd: Domain Adaptation for Learning at Scale. | Ziheng Zeng, Snigdha Chaturvedi, Suma Bhat, Dan Roth |
| 2018 | NAACL | Where Have I Heard This Story Before? Identifying Narrative Similarity in Movie Remakes. | Snigdha Chaturvedi, Shashank Srivastava, Dan Roth |
| 2018 | NAACL | Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences. | Daniel Khashabi, Snigdha Chaturvedi, Michael Roth, Shyam Upadhyay, Dan Roth |
| 2017 | AAAI | Unsupervised Learning of Evolving Relationships Between Literary Characters. | Snigdha Chaturvedi, Mohit Iyyer, Hal Daum III |
| 2017 | CoNLL | A Joint Model for Semantic Sequences: Frames, Entities, Sentiments. | Haoruo Peng, Snigdha Chaturvedi, Dan Roth |
| 2017 | EDM | Learner Affect Through the Looking Glass: Characterization and Detection of Confusion in Online Courses. | Ziheng Zeng, Snigdha Chaturvedi, Suma Bhat |
| 2017 | EMNLP | Story Comprehension for Predicting What Happens Next. | Snigdha Chaturvedi, Haoruo Peng, Dan Roth |
| 2016 | AAAI | Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text. | Snigdha Chaturvedi, Dan Goldwasser, Hal Daum III |
| 2016 | AAAI | Modeling Evolving Relationships Between Characters in Literary Novels. | Snigdha Chaturvedi, Shashank Srivastava, Hal Daum III, Chris Dyer |
| 2016 | AAAI | Inferring Interpersonal Relations in Narrative Summaries. | Shashank Srivastava, Snigdha Chaturvedi, Tom M. Mitchell |
| 2016 | NAACL | Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships. | Mohit Iyyer, Anupam Guha, Snigdha Chaturvedi, Jordan L. Boyd-Graber, Hal Daum III |
| 2014 | ACL | Predicting Instructor's Intervention in MOOC forums. | Snigdha Chaturvedi, Dan Goldwasser, Hal Daum III |
| 2014 | WWW | Joint question clustering and relevance prediction for open domain non-factoid question answering. | Snigdha Chaturvedi, Vittorio Castelli, Radu Florian, Ramesh Nallapati, Hema Raghavan |
| 2013 | ICDE | Automating pattern discovery for rule based data standardization systems. | Snigdha Chaturvedi, K. Hima Prasad, Tanveer A. Faruquie, Bhupesh Chawda, L. Venkata Subramaniam, Raghu Krishnapuram |
| 2013 | ICDM | Discriminatively Enhanced Topic Models. | Snigdha Chaturvedi, Hal Daum III, Taesun Moon |
| 2010 | CIKM | Estimating accuracy for text classification tasks on large unlabeled data. | Snigdha Chaturvedi, Tanveer A. Faruquie, L. Venkata Subramaniam, Mukesh K. Mohania |