Srijan Bansal

According to our database, Srijan Bansal authored at least 9 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings.

Austin Xu, Srijan Bansal, Yifei Ming, Semih Yavuz, Shafiq Joty

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2023

Few-shot Unified Question Answering: Tuning Models or Prompts?

Srijan Bansal, Semih Yavuz, Bo Pang, Meghana Bhat, Yingbo Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

PEFTDebias : Capturing debiasing information using PEFTs.

Sumit Agarwal, Aditya Srikanth Veerubhotla, Srijan Bansal

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

PRO-CS : An Instance-Based Prompt Composition Technique for Code-Switched Tasks.

Srijan Bansal, Suraj Tripathi, Sumit Agarwal, Teruko Mitamura, Eric Nyberg

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

R3 : Refined Retriever-Reader pipeline for Multidoc2dial.

Srijan Bansal, Suraj Tripathi, Sumit Agarwal, Sireesh Gururaja, Aditya Srikanth Veerubhotla, Ritam Dutt, Teruko Mitamura, Eric Nyberg

Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2022

2021

Debiasing Multilingual Word Embeddings: A Case Study of Three Indian Languages.

Srijan Bansal, Vishal Garimella, Ayush Suhane, Animesh Mukherjee

Proceedings of the HT '21: 32nd ACM Conference on Hypertext and Social Media, Virtual Event, Ireland, 30 August 2021, 2021

2020

Code-Switching Patterns Can Be an Effective Route to Improve Performance of Downstream NLP Applications: A Case Study of Humour, Sarcasm and Hate Speech Detection.

Srijan Bansal, Vishal Garimella, Ayush Suhane, Jasabanta Patro, Animesh Mukherjee

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

A deep-learning framework to detect sarcasm targets.

Jasabanta Patro, Srijan Bansal, Animesh Mukherjee

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Can Siamese Networks help in stance detection?

T. Y. S. S. Santosh, Srijan Bansal, Avirup Saha

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019