Ishani Mondal
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
12
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Large Language Models Are Effective Human Annotation Assistants, But Not Good Independent Annotators. | Feng Gu, Zongxia Li, Carlos Rafael Colon, Benjamin Evans, Ishani Mondal, Jordan Lee Boyd-Graber |
| 2026 | ACL | From Fluent to Useful: Generative AI That Models Purpose, Audience, and Presenter for Scientific Communication. | Ishani Mondal |
| 2026 | EACL | NLP for Social Good: A Survey and Outlook of Challenges, Opportunities and Responsible Deployment. | Antonia Karamolegkou, Angana Borah, Eunjung Cho, Sagnik Ray Choudhury, Martina Galletti, Pranav Gupta, Oana Ignat, Priyanka Kargupta, Neema Kotonya, Hemank Lamba, Sun-Joo Lee, Arushi Mangla, Ishani Mondal, Fatima Zahra Moudakir, Deniz Nazar, Poli Nemkova, Dina Pisarevskaya, Naquee Rizwan, Nazanin Sabri, Keenan Samway, Dominik Stammbach, Anna Steinberg, David Toms, Steven R. Wilson, Bowen Yi, Jessica H. Zhu, Arkaitz Zubiaga, Anders Sgaard, Alexander Fraser, Zhijing Jin, Rada Mihalcea, Joel R. Tetreault, Daryna Dementieva |
| 2026 | EACL | SMART-Editor: A Multi-Agent Framework for Human-Like Design Editing with Structural Integrity. | Ishani Mondal, Meera Bharadwaj, Ayush Roy, Aparna Garimella, Jordan Lee Boyd-Graber |
| 2025 | COLING | ADAPTIVE IE: Investigating the Complementarity of Human-AI Collaboration to Adaptively Extract Information on-the-fly. | Ishani Mondal, Michelle Yuan, Anandhavelu Natarajan, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, Jordan Lee Boyd-Graber |
| 2025 | EMNLP | Group Preference Alignment: Customizing LLM Responses from In-Situ Conversations Only When Needed. | Ishani Mondal, Jack W. Stokes, Sujay Kumar Jauhar, Longqi Yang, Mengting Wan, Xiaofeng Xu, Xia Song, Jordan Lee Boyd-Graber, Jennifer Neville |
| 2025 | ICLR | Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain). | Subba Reddy Oota, Akshett Rai Jindal, Ishani Mondal, Khushbu Pahwa, Satya Sai Srinath Namburi GNVV, Manish Shrivastava, Maneesh Kumar Singh, Bapi Raju Surampudi, Manish Gupta |
| 2025 | NAACL | Is your benchmark truly adversarial? AdvScore: Evaluating Human-Grounded Adversarialness. | Yoo Yeon Sung, Maharshi Gor, Eve Fleisig, Ishani Mondal, Jordan Lee Boyd-Graber |
| 2024 | EACL | Presentations by the Humans and For the Humans: Harnessing LLMs for Generating Persona-Aware Slides from Documents. | Ishani Mondal, Shwetha S, Anandhavelu Natarajan, Aparna Garimella, Sambaran Bandyopadhyay, Jordan L. Boyd-Graber |
| 2024 | EMNLP | PEDANTS: Cheap but Effective and Interpretable Answer Equivalence. | Zongxia Li, Ishani Mondal, Huy Nghiem, Yijun Liang, Jordan L. Boyd-Graber |
| 2024 | EMNLP | SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement. | Ishani Mondal, Zongxia Li, Yufang Hou, Anandhavelu Natarajan, Aparna Garimella, Jordan L. Boyd-Graber |
| 2024 | ICLR | On the robustness of Chatgpt under input perturbations for Named Entity Recognition Task. | Ishani Mondal, Abhilasha Sancheti |
| 2023 | AAAI | Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues. | Shivani Kumar, Ishani Mondal, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2023 | EACL | Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages. | Ankan Mullick, Ishani Mondal, Sourjyadip Ray, R. Raghav, G. Sai Chaitanya, Pawan Goyal |
| 2022 | COLING | Global Readiness of Language Technology for Healthcare: What Would It Take to Combat the Next Pandemic? | Ishani Mondal, Kabir Ahuja, Mohit Jain, Jacki O'Neill, Kalika Bali, Monojit Choudhury |
| 2022 | EMNLP | Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks. | Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Atharva Naik, Arjun Ashok, Arut Selvan Dhanasekaran, Anjana Arunkumar, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Kuntal Kumar Pal, Maitreya Patel, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Savan Doshi, Shailaja Keyur Sampat, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen |
| 2022 | IJCNLP | "#DisabledOnIndianTwitter" : A Dataset towards Understanding the Expression of People with Disabilities on Indian Twitter. | Ishani Mondal, Sukhnidh Kaur, Kalika Bali, Aditya Vashistha, Manohar Swaminathan |
| 2022 | LREC | Language Patterns and Behaviour of the Peer Supporters in Multilingual Healthcare Conversational Forums. | Ishani Mondal, Kalika Bali, Mohit Jain, Monojit Choudhury, Jacki O'Neill, Millicent Ochieng, Kagonya Awori, Keshet Ronen |
| 2021 | AAAI | BERTKG-DDI: Towards Incorporating Entity-specific Knowledge Graph Information in Predicting Drug-Drug Interactions. | Ishani Mondal |
| 2021 | ACL | End-to-End Construction of NLP Knowledge Graph. | Ishani Mondal, Yufang Hou, Charles Jochim |
| 2021 | CIKM | Multi-objective Few-shot Learning for Fair Classification. | Ishani Mondal, Procheta Sen, Debasis Ganguly |
| 2021 | NAACL | BBAEG: Towards BERT-based Biomedical Adversarial Example Generation for Text Classification. | Ishani Mondal |
| 2020 | CIKM | ALEX: Active Learning based Enhancement of a Classification Model's EXplainability. | Ishani Mondal, Debasis Ganguly |
| 2020 | COMAD | Approaches to biomedical coreference resolution. | Ishani Mondal |
| 2019 | BIBE | Drug-Drug Interactions Prediction Based on Drug Embedding and Graph Auto-Encoder. | Sukannya Purkayastha, Ishani Mondal, Sudeshna Sarkar, Pawan Goyal, Jitesh K. Pillai |