Sukannya Purkayastha

Orcid: 0000-0002-7559-0522

According to our database1, Sukannya Purkayastha authored at least 19 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
IDALC: A Semisupervised Framework for Intent Detection and Active Learning Based Correction.
IEEE Trans. Artif. Intell., May, 2026

Common Sense vs. Morality: The Curious Case of Narrative Focus Bias in LLMs.
CoRR, March, 2026

Reviewing the Reviewer: Elevating Peer Review Quality through LLM-Guided Feedback.
CoRR, February, 2026

Decision-Making with Deliberation: Meta-reviewing as a Document-grounded Dialogue.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025
IDALC: A Semi-Supervised Framework for Intent Detection and Active Learning based Correction.
CoRR, November, 2025

CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation.
CoRR, May, 2025


LazyReview: A Dataset for Uncovering Lazy Thinking in NLP Peer Reviews.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark.
CoRR, 2024

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Romanization-based Large-scale Adaptation of Multilingual Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Exploring Jiu-Jitsu Argumentation for Writing Peer Review Rebuttals.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

A Deep Neural Approach to KGQA via SPARQL Silhouette Generation.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Knowledge Graph Question Answering via SPARQL Silhouette Generation.
CoRR, 2021

2020
Medical Entity Linking using Triplet Network.
CoRR, 2020

A Variant of Gradient Descent Algorithm Based on Gradient Averaging.
CoRR, 2020

2019
Drug-Drug Interactions Prediction Based on Drug Embedding and Graph Auto-Encoder.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019


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