Sukannya Purkayastha

Sukannya Purkayastha suː.ˈkɑːn.ˈjə pʊrˈkɑː.jəs.tʰɑː

(she/her)

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 Associate at the CAIDAS Natural Language Processing Chair, University of Würzburg with Prof. Dr. Goran Glavaš. I also worked 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!).



Recent News
May 2026: Started as Research Associate at University of Würzburg, Germany! 🚀
February 2026: Our paper “Common Sense vs Morality” accepted at LREC 2026! 🚀
January 2026: Our paper “Decision Making with Deliberation” accepted at EACL 2026! 🚀
December 2025: I presented “Lazy Review” and “Decision Making with Deliberation” at the SciProd-LLM Workshop (AACL IJCNLP 2025) 🎤
November 2025: Saugata presented our paper on Riemannian Gradient Averaging at the ELLIS Pre-NeurIPS workshop 🎤
October 2025: Our paper on Riemannian Gradient Averaging accepted at OPT workshop (NeurIPS 2025) 🎉
October 2025: Started internship at NEC Labs, Europe 💼
July 2025: Attended ACL 2025 in Vienna 🇦🇹
July 2025: Our benchmark paper “CaMMT” accepted at Findings of EMNLP 2025 🎉
May 2025: Our paper “LazyReview” accepted at ACL 2025 🎉
Publications

Reviewing the reviewer: Elevating review quality through LLM-guided feedback
Sukannya Purkayastha, Qile Wan, Anne Lauscher, Lizhen Qu, Iryna Gurevych
ArXiv preprint, 2026

Common Sense vs Morality: The curious case of Narrative Focus bias on LLMs.
Saugata Purkayastha, Pranav Kushare, Pragya Pal, Sukannya Purkayastha
LREC, 2026

Decision-Making with Deliberation: Meta-reviewing as a Document-grounded Dialogue
Sukannya Purkayastha, Nils Dycke, Anne Lauscher, Iryna Gurevych
EACL, 2026

LazyReview: A Dataset for Uncovering Lazy Thinking in NLP Peer Reviews
Sukannya Purkayastha, Zhuang Li, Anne Lauscher, Lizhen Qu, Iryna Gurevych
ACL, 2025

CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation
Emilio Villa-Cueva, Sholpan Bolatzhanova, Diana Turmakhan, …, Sukannya Purkayastha, …, Thamar Solorio
Findings EMNLP, 2025

On Riemannian Gradient Descent using Gradient Averaging (RGrad-Avg)
Saugata Purkayastha, Sukannya Purkayastha
OPT @ 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 AI, 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
NeurIPS (Datasets & Benchmarks), 2024

Exploring Jiu-Jitsu Argumentation for Writing Peer Review Rebuttals
Sukannya Purkayastha, Anne Lauscher, Iryna Gurevych
EMNLP, 2023

Medical Entity Linking using Triplet Network
Ishani Mondal, Sukannya Purkayastha, Sudeshna Sarkar, Pawan Goyal, Jitesh Pillai, Amitava Bhattacharyya, Mahanandeeshwar Gattu
Clinical NLP 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
BIBE, 2019