Professional Summary
Hi! I am a final year PhD student at Ubiquitous Knowledge Processing Lab, TU Darmstadt, Germany supervised by Prof. Dr Iryna Gurevych and Prof. Dr. Anne Lauscher. I am currently working as a Research Intern at NEC Labs, Europe with Dr. Shahbaz Syed and Dr. Carolin Lawrence. Prior to that, I earned my MS(Research) in Natural Language Processing from the Department of Computer Science, IIT Kharagpur under the supervision of Prof. Sudeshna Sarkar and Prof. Pawan Goyal.
My research lies at the intersection of natural language processing and machine learning, focusing on human-centered, culturally aware, and efficient NLP systems. Currently, my work focusses on scholarly communication and reasoning, particularly in the domain of peer reviews. I have also explored multilingual and multimodal understanding, parameter-efficient transfer learning, optimization techniques, and applications in conversational systems and knowledge graphs. If you are interested in collaborating, feel free to reach out!
In my free time, I love cooking and learning random new facts (not a quizzer but love quizzes!).
• February 2026: Our paper “Common Sense vs Morality” accepted at LREC 2026 ! 🚀
• January 2026: Our paper “Decision Making with Deliberation” accepted at EACL Main, 2026 ! 🚀
• December 2025: I presented “Lazy Review” and “Decision Making with Deliberation” in the SciProdLLM Workshop at AACL IJCNLP, 2025 🎤
• November 2025: Saugata presented our paper on Riemannian Gradient Averaging in the ELLIS Pre-NeurIPS workshop at Universität des Saarlandes. 🎤
• October 2025: Our paper on Riemannian Gradient Averaging accepted at OPT workshop at NeurIPS 2025. 🎉
• October 2025: I started my internship at NEC Labs, Europe! 💼
• July 2025: Attending ACL 2025 at Vienna! 🇦🇹
• July 2025: Our benchmark paper “CaMMT” accepted at Findings of EMNLP 2025 🎉
• May 2025: Our Paper “LazyReview” accepted at ACL 2025 🎉
Sukannya Purkayastha, Qile Wan, Anne Lauscher, Lizhen Qu, Iryna Gurevych
Under Review
Common Sense vs Morality: The curious case of Narrative Focus bias on LLMs.
Saugata Purkayastha, Pranav Kushare, Pragya Pal, Sukannya Purkayastha
15th biennial Language Resources and Evaluation Conference (LREC), 2026
Decision-Making with Deliberation: Meta-reviewing as a Document-grounded Dialogue
Sukannya Purkayastha, Nils Dycke, Anne Lauscher, Iryna Gurevych
19th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2026
LazyReview: A Dataset for Uncovering Lazy Thinking in NLP Peer Reviews
Sukannya Purkayastha, Zhuang Li, Anne Lauscher, Lizhen Qu, Iryna Gurevych
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025
CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation
Emilio Villa-Cueva, Sholpan Bolatzhanova, Diana Turmakhan, …, Sukannya Purkayastha, …, Thamar Solorio
Findings of the Association for Computational Linguistics: EMNLP 2025
Saugata Purkayastha, Sukannya Purkayastha
17th Annual Workshop on Optimization for Machine Learning (OPT) at NeurIPS 2025
IDALC: A Semi-Supervised Framework for Intent Detection and Active Learning-based Correction
Ankan Mullick, Sukannya Purkayastha, Saransh Sharma, Pawan Goyal, Niloy Ganguly
IEEE Transactions on Artificial Intelligence 2025
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark
David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo, Teresa Lynn, Injy Hamed, Aditya Nanda Kishore, Aishik Mandal, Alina Dragonetti,… , Sukannya Purkayastha, …, Thamar Solorio
38th Conference on Neural Information Processing Systems (NeurIPS), Datasets & Benchmarks Track, 2024
Exploring Jiu-Jitsu Argumentation for Writing Peer Review Rebuttals
Sukannya Purkayastha, Anne Lauscher, Iryna Gurevych
Empirical Methods in Natural Language Processing (EMNLP), 2023
Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning
Clifton Poth, Hannah Sterz, Indraneil Paul, Sukannya Purkayastha, Leon Engländer, Timo Imhof, Ivan Vulić, Sebastian Ruder, Iryna Gurevych, Jonas Pfeiffer
Empirical Methods in Natural Language Processing (EMNLP): System Demonstrations, 2023
Romanization-based Large-scale Adaptation of Multilingual Language Models
Sukannya Purkayastha, Sebastian Ruder, Jonas Pfeiffer, Iryna Gurevych, Ivan Vulić
Findings of the Association for Computational Linguistics: EMNLP, 2023
A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection
Ankan Mullick*, Sukannya Purkayastha*, Pawan Goyal, Niloy Ganguly
Findings of the Association for Computational Linguistics: NAACL, 2022
Sukannya Purkayastha, Saswati Dana, Dinesh Garg, Dinesh Khandelwal, G. P. Shrivatsa Bhargav
International Joint Conference on Neural Networks (IJCNN), 2022
A Variant of Gradient Descent Algorithm Based on Gradient Averaging
Saugata Purkayastha, Sukannya Purkayastha
12th Annual Workshop on Optimization for Machine Learning (OPT) at NeurIPS 2020
Medical Entity Linking using Triplet Network
Ishani Mondal, Sukannya Purkayastha, Sudeshna Sarkar, Pawan Goyal, Jitesh Pillai, Amitava Bhattacharyya, Mahanandeeshwar Gattu
2nd Clinical Natural Language Processing Workshop, 2019
Drug-Drug Interactions Prediction Based on Drug Embedding and Graph Auto-Encoder
Sukannya Purkayastha, Ishani Mondal, Sudeshna Sarkar, Pawan Goyal, Jitesh K. Pillai
IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), 2019