Drug-Drug Interactions Prediction Based on Drug Embedding and Graph Auto-Encoder. - Sukannya Purkayastha; Ishani Mondal; Sudeshna Sarkar; Pawan Goyal 002; Jitesh K. Pillai (BIBE, 2019)

Extracting Semantic Aspects for Structured Representation of Clinical Trial Eligibility Criteria. - Tirthankar Dasgupta; Ishani Mondal; Abir Naskar; Lipika Dey (ClinicalNLP@EMNLP, 2020)

ALEX: Active Learning based Enhancement of a Classification Model's EXplainability. - Ishani Mondal; Debasis Ganguly (CIKM, 2020)

Approaches to biomedical coreference resolution. - Ishani Mondal (COMAD/CODS, 2020)

ALEX: Active Learning based Enhancement of a Model's Explainability. - Ishani Mondal; Debasis Ganguly (CoRR, 2020)

Towards Incorporating Entity-specific Knowledge Graph Information in Predicting Drug-Drug Interactions. - Ishani Mondal (CoRR, 2020)

Medical Entity Linking using Triplet Network. - Ishani Mondal; Sukannya Purkayastha; Sudeshna Sarkar; Pawan Goyal 002; Jitesh K. Pillai; Amitava Bhattacharyya; Mahanandeeshwar Gattu (CoRR, 2020)

BERTChem-DDI : Improved Drug-Drug Interaction Prediction from text using Chemical Structure Information. - Ishani Mondal (CoRR, 2020)

BERTKG-DDI: Towards Incorporating Entity-specific Knowledge Graph Information in Predicting Drug-Drug Interactions. - Ishani Mondal (SDU@AAAI, 2021)

End-to-End Construction of NLP Knowledge Graph. - Ishani Mondal; Yufang Hou 001; Charles Jochim (ACL/IJCNLP (Findings), 2021)

Multi-objective Few-shot Learning for Fair Classification. - Ishani Mondal; Procheta Sen; Debasis Ganguly (CIKM, 2021)

BBAEG: Towards BERT-based Biomedical Adversarial Example Generation for Text Classification. - Ishani Mondal (NAACL-HLT, 2021)

End-to-End NLP Knowledge Graph Construction. - Ishani Mondal; Yufang Hou 001; Charles Jochim (CoRR, 2021)

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 (COLING, 2022)

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; et al. (EMNLP, 2022)

"#DisabledOnIndianTwitter" : A Dataset towards Understanding the Expression of People with Disabilities on Indian Twitter. - Ishani Mondal; Sukhnidh Kaur; Kalika Bali; Aditya Vashistha; Manohar Swaminathan 001 (AACL/IJCNLP (Findings), 2022)

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 (LREC, 2022)

Global Readiness of Language Technology for Healthcare: What would it Take to Combat the Next Pandemic? - Ishani Mondal; Kabir Ahuja; Mohit Jain; Jacki O. Neil; Kalika Bali; Monojit Choudhury (CoRR, 2022)

Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. - Yizhong Wang; Swaroop Mishra; Pegah Alipoormolabashi; Yeganeh Kordi; Amirreza Mirzaei; Anjana Arunkumar; Arjun Ashok; Arut Selvan Dhanasekaran; Atharva Naik; David Stap; Eshaan Pathak; Giannis Karamanolakis; et al. (CoRR, 2022)

Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues. - Shivani Kumar; Ishani Mondal; Md. Shad Akhtar; Tanmoy Chakraborty 002 (AAAI, 2023)

Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages. - Ankan Mullick; Ishani Mondal; Sourjyadip Ray; R. Raghav; G. Sai Chaitanya; Pawan Goyal 002 (EACL (Findings), 2023)

InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction. - Ishani Mondal; Michelle Yuan; Anandhavelu Natarajan; Aparna Garimella; Francis Ferraro; Andrew Blair-Stanek; Benjamin Van Durme; Jordan L. Boyd-Graber (CoRR, 2023)

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 (EACL (1), 2024)

PEDANTS: Cheap but Effective and Interpretable Answer Equivalence. - Zongxia Li; Ishani Mondal; Huy Nghiem; Yijun Liang; Jordan L. Boyd-Graber (EMNLP (Findings), 2024)

SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement. - Ishani Mondal; Zongxia Li; Yufang Hou 001; Anandhavelu Natarajan; Aparna Garimella; Jordan L. Boyd-Graber (EMNLP (Findings), 2024)

On the robustness of Chatgpt under input perturbations for Named Entity Recognition Task. - Ishani Mondal; Abhilasha Sancheti (Tiny Papers @ ICLR, 2024)

How the Advent of Ubiquitous Large Language Models both Stymie and Turbocharge Dynamic Adversarial Question Generation. - Yoo Yeon Sung; Ishani Mondal; Jordan L. Boyd-Graber (CoRR, 2024)

MunTTS: A Text-to-Speech System for Mundari. - Varun Gumma; Rishav Hada; Aditya Yadavalli; Pamir Gogoi; Ishani Mondal; Vivek Seshadri; Kalika Bali (CoRR, 2024)

PANDA (Pedantic ANswer-correctness Determination and Adjudication): Improving Automatic Evaluation for Question Answering and Text Generation. - Zongxia Li; Ishani Mondal; Yijun Liang; Huy Nghiem; Jordan Lee Boyd-Graber (CoRR, 2024)

How much reliable is ChatGPT's prediction on Information Extraction under Input Perturbations? - Ishani Mondal; Abhilasha Sancheti (CoRR, 2024)

ADVSCORE: A Metric for the Evaluation and Creation of Adversarial Benchmarks. - Yoo Yeon Sung; Eve Fleisig; Ishani Mondal; Jordan Lee Boyd-Graber (CoRR, 2024)

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 (COLING, 2025)

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 001; Maneesh Kumar Singh 002; Bapi Raju Surampudi; Manish Gupta 001 (ICLR, 2025)

Is your benchmark truly adversarial? AdvScore: Evaluating Human-Grounded Adversarialness. - Yoo Yeon Sung; Maharshi Gor; Eve Fleisig; Ishani Mondal; Jordan Lee Boyd-Graber (NAACL (Long Papers), 2025)

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 (CoRR, 2025)

Group Preference Alignment: Customized LLM Response Generation from In-Situ Conversations. - Ishani Mondal; Jack W. Stokes; Sujay Kumar Jauhar; Longqi Yang; Mengting Wan; Xiaofeng Xu; Xia Song; Jennifer Neville (CoRR, 2025)

Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain). - Subba Reddy Oota; Akshett Jindal; Ishani Mondal; Khushbu Pahwa; Satya Sai Srinath Namburi; Manish Shrivastava 001; Maneesh Kumar Singh 002; Raju Surampudi Bapi; Manish Gupta 001 (CoRR, 2025)

NLP for Social Good: A Survey of Challenges, Opportunities, and Responsible Deployment. - Antonia Karamolegkou; Angana Borah; Eunjung Cho; Sagnik Ray Choudhury; Martina Galletti; Rajarshi Ghosh; Pranav Gupta; Oana Ignat; Priyanka Kargupta; Neema Kotonya; Hemank Lamba; Sun-Joo Lee; et al. (CoRR, 2025)