| 2026 | ACL | LLMs in Sarcasm Detection? It's elementary! (Or is it?). | Priyanshu Mahato, Aniket Santosh Mishra, Kripabandhu Ghosh |
| 2026 | EACL | Don't Judge a Book by its Cover: Testing LLMs' Robustness Under Logical Obfuscation. | Abhilekh Borah, Shubhra Ghosh, Kedar Joshi, Aditya Kumar Guru, Kripabandhu Ghosh |
| 2026 | LREC | ObfusQAte: A Proposed Framework to Evaluate LLM Robustness on Obfuscated Factual Question Answering. | Shubhra Ghosh, Abhilekh Borah, Aditya Kumar Guru, Kripabandhu Ghosh |
| 2026 | LREC | Structured Legal Document Generation in India: A Model-Agnostic Wrapper Approach with VidhikDastaavej. | Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya |
| 2025 | ACL | SELF-PERCEPT: Introspection Improves Large Language Models' Detection of Multi-Person Mental Manipulation in Conversations. | Danush Khanna, Pratinav Seth, Sidhaarth Sredharan Murali, Aditya Kumar Guru, Siddharth Shukla, Tanuj Tyagi, Sandeep Chaurasia, Kripabandhu Ghosh |
| 2025 | COLING | NYAYAANUMANA and INLEGALLLAMA: The Largest Indian Legal Judgment Prediction Dataset and Specialized Language Model for Enhanced Decision Analysis. | Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Shivam Mishra, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya |
| 2025 | COLING | CryptOpiQA: A new Opinion and Question Answering dataset on Cryptocurrency. | Sougata Sarkar, Aditya Badwal, Amartya Roy, Koustav Rudra, Kripabandhu Ghosh |
| 2025 | EMNLP | Can LLMs be Literary Companions?: Analysing LLMs on Bengali Figures of Speech Identification. | Sourav Das, Kripabandhu Ghosh |
| 2025 | EMNLP | Causal-LLM: A Unified One-Shot Framework for Prompt- and Data-Driven Causal Graph Discovery. | Amartya Roy, Devharish N, Shreya Ganguly, Kripabandhu Ghosh |
| 2025 | IJCNLP | TathyaNyaya and FactLegalLlama: Advancing Factual Judgment Prediction and Explanation in the Indian Legal Context. | Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Shivam Mishra, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya |
| 2025 | IJCNLP | NyayaRAG: Realistic Legal Judgment Prediction with RAG under the Indian Common Law System. | Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Shivam Mishra, Ajay Varghese Thomas, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya |
| 2025 | NAACL | LegalSeg: Unlocking the Structure of Indian Legal Judgments Through Rhetorical Role Classification. | Shubham Kumar Nigam, Tanmay Dubey, Govind Sharma, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya |
| 2024 | ACL | Legal Judgment Reimagined: PredEx and the Rise of Intelligent AI Interpretation in Indian Courts. | Shubham Kumar Nigam, Anurag Sharma, Danush Khanna, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya |
| 2023 | ECIR | Legal IR and NLP: The History, Challenges, and State-of-the-Art. | Debasis Ganguly, Jack G. Conrad, Kripabandhu Ghosh, Saptarshi Ghosh, Pawan Goyal, Paheli Bhattacharya, Shubham Kumar Nigam, Shounak Paul |
| 2023 | EMNLP | LLMs - the Good, the Bad or the Indispensable?: A Use Case on Legal Statute Prediction and Legal Judgment Prediction on Indian Court Cases. | Shaurya Vats, Atharva Zope, Somsubhra De, Anurag Sharma, Upal Bhattacharya, Shubham Kumar Nigam, Shouvik Kumar Guha, Koustav Rudra, Kripabandhu Ghosh |
| 2023 | ICAIL | How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization? | Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh |
| 2023 | ICCV | Exemplar-Free Continual Transformer with Convolutions. | Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das |
| 2023 | JURIX | LeDA: A System for Legal Data Annotation. | Subinay Adhikary, Dwaipayan Roy, Debasis Ganguly, Shouvik Kumar Guha, Kripabandhu Ghosh |
| 2023 | SIGIR | Fairness for both Readers and Authors: Evaluating Summaries of User Generated Content. | Garima Chhikara, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty |
| 2022 | IJCNLP | Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation. | Abhay Shukla, Paheli Bhattacharya, Soham Poddar, Rajdeep Mukherjee, Kripabandhu Ghosh, Pawan Goyal, Saptarshi Ghosh |
| 2021 | ACL | ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation. | Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam, Kripabandhu Ghosh, Shouvik Kumar Guha, Arnab Bhattacharya, Ashutosh Modi |
| 2021 | ICAIL | Incorporating domain knowledge for extractive summarization of legal case documents. | Paheli Bhattacharya, Soham Poddar, Koustav Rudra, Kripabandhu Ghosh, Saptarshi Ghosh |
| 2021 | JURIX | An Analytical Study of Algorithmic and Expert Summaries of Legal Cases. | Aniket Deroy, Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh |
| 2020 | CIKM | ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions. | Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh, Saptarshi Ghosh |
| 2020 | JURIX | Retrieval of Prior Court Cases Using Witness Testimonies. | Kripabandhu Ghosh, Sachin Pawar, Girish K. Palshikar, Pushpak Bhattacharyya, Vasudeva Varma |
| 2020 | SIGIR | Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity. | Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh |
| 2019 | ECIR | A Comparative Study of Summarization Algorithms Applied to Legal Case Judgments. | Paheli Bhattacharya, Kaustubh Hiware, Subham Rajgaria, Nilay Pochhi, Kripabandhu Ghosh, Saptarshi Ghosh |
| 2019 | JURIX | Identification of Rhetorical Roles of Sentences in Indian Legal Judgments. | Paheli Bhattacharya, Shounak Paul, Kripabandhu Ghosh, Saptarshi Ghosh, Adam Wyner |
| 2018 | CIKM | International Workshop on Legal Data Analytics and Mining (LeDAM 2018): Preface to the Proceedings. | Arindam Pal, Arnab Bhattacharya, Indrajit Bhattacharya, Kripabandhu Ghosh, Lipika Dey, Marie-Francine Moens, Saptarshi Ghosh |
| 2018 | WWW | Automatic Matching of Resource Needs and Availabilities in Microblogs for Post-Disaster Relief. | Moumita Basu, Anurag Shandilya, Kripabandhu Ghosh, Saptarshi Ghosh |
| 2018 | WWW | Contextual Word Embedding: A Case Study in Clustering Tweets about Emergency Situations. | Debasis Ganguly, Kripabandhu Ghosh |
| 2018 | WWW | WWW'18 Workshop on Exploitation of Social Media for Emergency Relief and Preparedness: Chairs' Welcome & Organization. | Marie-Francine Moens, Gareth J. F. Jones, Saptarshi Ghosh, Debasis Ganguly, Tanmoy Chakraborty, Kripabandhu Ghosh |
| 2018 | WWW | Retrieving Information from Multiple Sources. | Anurag Roy, Kripabandhu Ghosh, Moumita Basu, Parth Gupta, Saptarshi Ghosh |
| 2018 | WWW | Fairness of Extractive Text Summarization. | Anurag Shandilya, Kripabandhu Ghosh, Saptarshi Ghosh |
| 2017 | CIKM | Automatic Catchphrase Identification from Legal Court Case Documents. | Arpan Mandal, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh |
| 2017 | CIKM | Combining Local and Global Word Embeddings for Microblog Stemming. | Anurag Roy, Trishnendu Ghorai, Kripabandhu Ghosh, Saptarshi Ghosh |
| 2017 | ECIR | A Novel Word Embedding Based Stemming Approach for Microblog Retrieval During Disasters. | Moumita Basu, Anurag Roy, Kripabandhu Ghosh, Somprakash Bandyopadhyay, Saptarshi Ghosh |
| 2017 | ECIR | Microblog Retrieval in a Disaster Situation: A New Test Collection for Evaluation. | Moumita Basu, Anurag Roy, Kripabandhu Ghosh, Somprakash Bandyopadhyay, Saptarshi Ghosh |
| 2015 | CIKM | Clustered Semi-Supervised Relevance Feedback. | Kripabandhu Ghosh, Swapan Kumar Parui |
| 2015 | SIGIR | Retrieval from Noisy E-Discovery Corpus in the Absence of Training Data. | Anirban Chakraborty, Kripabandhu Ghosh, Swapan Kumar Parui |
| 2014 | IC3K | A Word Association Based Approach for Improving Retrieval Performance from Noisy OCRed Text. | Anirban Chakraborty, Kripabandhu Ghosh, Utpal Roy |
| 2012 | SIGIR | Improving e-discovery using information retrieval. | Kripabandhu Ghosh |