Can Siamese Networks help in stance detection? - T. Y. S. S. Santosh; Srijan Bansal; Avirup Saha (COMAD/CODS, 2019)

A deep-learning framework to detect sarcasm targets. - Jasabanta Patro; Srijan Bansal; Animesh Mukherjee 001 (EMNLP/IJCNLP (1), 2019)

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 001 (ACL, 2020)

Debiasing Multilingual Word Embeddings: A Case Study of Three Indian Languages. - Srijan Bansal; Vishal Garimella; Ayush Suhane; Animesh Mukherjee 001 (HT, 2021)

R3 : Refined Retriever-Reader pipeline for Multidoc2dial. - Srijan Bansal; Suraj Tripathi; Sumit Agarwal; Sireesh Gururaja; Aditya Srikanth Veerubhotla; Ritam Dutt; Teruko Mitamura; Eric Nyberg (DialDoc@ACL, 2022)

PRO-CS : An Instance-Based Prompt Composition Technique for Code-Switched Tasks. - Srijan Bansal; Suraj Tripathi; Sumit Agarwal; Teruko Mitamura; Eric Nyberg (EMNLP, 2022)

PEFTDebias : Capturing debiasing information using PEFTs. - Sumit Agarwal; Aditya Srikanth Veerubhotla; Srijan Bansal (EMNLP, 2023)

Few-shot Unified Question Answering: Tuning Models or Prompts? - Srijan Bansal; Semih Yavuz; Bo Pang 004; Meghana Bhat; Yingbo Zhou (EMNLP (Findings), 2023)

Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings. - Austin Xu; Srijan Bansal; Yifei Ming; Semih Yavuz; Shafiq Joty (ACL (1), 2025)