| 2026 | EACL | Persona Jailbreaking in Large Language Models. | Jivnesh Sandhan, Fei Cheng, Tushar Sandhan, Yugo Murawaki |
| 2025 | EMNLP | CAPE: Context-Aware Personality Evaluation Framework for Large Language Models. | Jivnesh Sandhan, Fei Cheng, Tushar Sandhan, Yugo Murawaki |
| 2025 | EMNLP | Mahānāma: A Unique Testbed for Literary Entity Discovery and Linking. | Sujoy Sarkar, Gourav Sarkar, Manoj Balaji Jagadeeshan, Jivnesh Sandhan, Amrith Krishna, Pawan Goyal |
| 2025 | ICIP | Tagsim: Topic-Informed Attention Guided Similarity Metric for Image Caption Comparison. | Vipul Chanchlani, Vishal Himmatsinghka, Ayush Himmatsinghka, Jivnesh Sandhan, Tushar Sandhan |
| 2025 | IJCNLP | Still Not There: Can LLMs Outperform Smaller Task-Specific Seq2Seq Models on the Poetry-to-Prose Conversion Task? | Kunal Kingkar Das, Manoj Balaji Jagadeeshan, Nallani Chakravartula Sahith, Jivnesh Sandhan, Pawan Goyal |
| 2024 | EMNLP | CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages. | Pretam Ray, Jivnesh Sandhan, Amrith Krishna, Pawan Goyal |
| 2023 | ACL | SanskritShala: A Neural Sanskrit NLP Toolkit with Web-Based Interface for Pedagogical and Annotation Purposes. | Jivnesh Sandhan, Anshul Agarwal, Laxmidhar Behera, Tushar Sandhan, Pawan Goyal |
| 2023 | EACL | Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency Parsing. | Jivnesh Sandhan, Laxmidhar Behera, Pawan Goyal |
| 2023 | EMNLP | DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit. | Jivnesh Sandhan, Yaswanth Narsupalli, Sreevatsa Muppirala, Sriram Krishnan, Pavankumar Satuluri, Amba P. Kulkarni, Pawan Goyal |
| 2022 | COLING | A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in Sanskrit. | Jivnesh Sandhan, Ashish Gupta, Hrishikesh Terdalkar, Tushar Sandhan, Suvendu Samanta, Laxmidhar Behera, Pawan Goyal |
| 2022 | EMNLP | TransLIST: A Transformer-Based Linguistically Informed Sanskrit Tokenizer. | Jivnesh Sandhan, Rathin Singha, Narein Rao, Suvendu Samanta, Laxmidhar Behera, Pawan Goyal |
| 2021 | EACL | A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages. | Jivnesh Sandhan, Amrith Krishna, Ashim Gupta, Laxmidhar Behera, Pawan Goyal |