| 2025 | ACL | Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings. | Austin Xu, Srijan Bansal, Yifei Ming, Semih Yavuz, Shafiq Joty |
| 2023 | EMNLP | PEFTDebias : Capturing debiasing information using PEFTs. | Sumit Agarwal, Aditya Srikanth Veerubhotla, Srijan Bansal |
| 2023 | EMNLP | Few-shot Unified Question Answering: Tuning Models or Prompts? | Srijan Bansal, Semih Yavuz, Bo Pang, Meghana Bhat, Yingbo Zhou |
| 2022 | EMNLP | PRO-CS : An Instance-Based Prompt Composition Technique for Code-Switched Tasks. | Srijan Bansal, Suraj Tripathi, Sumit Agarwal, Teruko Mitamura, Eric Nyberg |
| 2020 | ACL | 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 |
| 2019 | COMAD | Can Siamese Networks help in stance detection? | T. Y. S. S. Santosh, Srijan Bansal, Avirup Saha |
| 2019 | EMNLP | A deep-learning framework to detect sarcasm targets. | Jasabanta Patro, Srijan Bansal, Animesh Mukherjee |