| 2026 | ACL | Paramanu: Compact and Competitive Monolingual Language Models for Low-Resource Morphologically Rich Indian Languages. | Mitodru Niyogi, ric Gaussier, Arnab Bhattacharya |
| 2026 | ACL | Thesis Proposal: A Normalization-First Framework for Sound, Complete, and Utility-Ready Open Information Extraction. | Chandan Prakash, Pavan Kumar Chittimalli, Arnab Bhattacharya |
| 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 |
| 2026 | LREC | AYN: A Tiny Yet Competitive Indian Legal Language Model Pretrained from Scratch. | Mitodru Niyogi, ric Gaussier, Arnab Bhattacharya |
| 2025 | ACL | A Case Study of Cross-Lingual Zero-Shot Generalization for Classical Languages in LLMs. | V. S. D. S. Mahesh Akavarapu, Hrishikesh Terdalkar, Pramit Bhattacharyya, Shubhangi Agarwal, Vishakha Deulgaonkar, Chaitali Dangarikar, Pralay Manna, Arnab Bhattacharya |
| 2025 | ACL | Leveraging LLMs for Bangla Grammar Error Correction: Error Categorization, Synthetic Data, and Model Evaluation. | Pramit Bhattacharyya, Arnab Bhattacharya |
| 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 | EMNLP | BanglaByT5: Byte-Level Modelling for Bangla. | Pramit Bhattacharyya, Arnab Bhattacharya |
| 2025 | IJCNLP | BhashaSetu: Cross-Lingual Knowledge Transfer from High-Resource to Extreme Low-Resource Languages. | Subhadip Maji, Arnab Bhattacharya |
| 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 |
| 2024 | COMAD | VeNoM: Approximate Subgraph Matching with Enhanced Neighbourhood Structural Information. | Shubhangi Agarwal, Sourav Dutta, Arnab Bhattacharya |
| 2024 | COMAD | Forecasting of Fog Index and Prediction Interval using Bayesian Methods. | Kriti Bajaj, Ushakiran Mannam, Prasad Deshpande, Yash Prakash Patil, Arnab Bhattacharya, Shivam Tripathi |
| 2024 | COMAD | Short-Term Fog Forecasting using Meteorological Observations at Airports in North India. | Shruti Sharma, Kriti Bajaj, Prasad Deshpande, Arnab Bhattacharya, Shivam Tripathi |
| 2024 | EACL | Automated Cognate Detection as a Supervised Link Prediction Task with Cognate Transformer. | V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya |
| 2024 | NAACL | A Likelihood Ratio Test of Genetic Relationship among Languages. | V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya |
| 2023 | AAAI | Task and Model Agnostic Adversarial Attack on Graph Neural Networks. | Kartik Sharma, Samidha Verma, Sourav Medya, Arnab Bhattacharya, Sayan Ranu |
| 2023 | EMNLP | Cognate Transformer for Automated Phonological Reconstruction and Cognate Reflex Prediction. | V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya |
| 2023 | IJCNLP | VACASPATI: A Diverse Corpus of Bangla Literature. | Pramit Bhattacharyya, Joydeep Mondal, Subhadip Maji, Arnab Bhattacharya |
| 2022 | ACL | HLDC: Hindi Legal Documents Corpus. | Arnav Kapoor, Mudit Dhawan, Anmol Goel, T. H. Arjun, Akshala Bhatnagar, Vibhu Agrawal, Amul Agrawal, Arnab Bhattacharya, Ponnurangam Kumaraguru, Ashutosh Modi |
| 2022 | COMAD | An Application to Generate Style Guided Compatible Outfit. | Debopriyo Banerjee, Harsh Maheshwari, Lucky Dhakad, Arnab Bhattacharya, Niloy Ganguly, Muthusamy Chelliah, Suyash Agarwal |
| 2022 | COMAD | Prediction of CardioVascular Disease (CVD) using Ensemble Learning Algorithms. | C. Oswald, Gadi Jaya Sathwika, Arnab Bhattacharya |
| 2022 | ECIR | Recommendation of Compatible Outfits Conditioned on Style. | Debopriyo Banerjee, Lucky Dhakad, Harsh Maheshwari, Muthusamy Chelliah, Niloy Ganguly, Arnab Bhattacharya |
| 2022 | IGARSS | Comparison of In-Situ FOG Observations with Insat-3D Satellite FOG Product for North Indian Cities. | Prasad Deshpande, Shivam Tripathi, Arnab Bhattacharya |
| 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 | CIKM | VerSaChI: Finding Statistically Significant Subgraph Matches using Chebyshev's Inequality. | Shubhangi Agarwal, Sourav Dutta, Arnab Bhattacharya |
| 2021 | CIKM | Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs. | Garima Gaur, Abhishek Dang, Arnab Bhattacharya, Srikanta Bedathur |
| 2021 | COMAD | Exploring State-of-the-Art Nearest Neighbor (NN) Search Techniques. | Parth Nagarkar, Arnab Bhattacharya, Omid Jafari |
| 2021 | IJCAI | GraphReach: Position-Aware Graph Neural Network using Reachability Estimations. | Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu |
| 2020 | CIKM | How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs. | Garima Gaur, Arnab Bhattacharya, Srikanta Bedathur |
| 2020 | ISI | Automated Adversary Emulation for Cyber-Physical Systems via Reinforcement Learning. | Arnab Bhattacharya, Thiagarajan Ramachandran, Sandeep Banik, Chase P. Dowling, Shaunak D. Bopardikar |
| 2019 | COMAD | NetClus: A Scalable Framework to Mine Top-K Locations for Placement of Trajectory-Aware Services. | Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Sayan Ranu |
| 2019 | WWW | RAQ: Relationship-Aware Graph Querying in Large Networks. | Jithin Vachery, Akhil Arora, Sayan Ranu, Arnab Bhattacharya |
| 2019 | SIGMOD | GRADES-NDA 2019: Joint International Workshop on Graph Data Management Experiences & Systems and Network Data Analytics. | Akhil Arora, Arnab Bhattacharya, George H. L. Fletcher |
| 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 | COMAD | Finding shell company accounts using anomaly detection. | Devendra Kumar Luna, Girish Keshav Palshikar, Manoj Apte, Arnab Bhattacharya |
| 2018 | COMAD | MineAr: using crowd knowledge for mining association rules in the health domain. | Milan Someswar, Arnab Bhattacharya |
| 2018 | EuroPLop | Patterns for Indexing Large Datasets. | Garima Gaur, Sumit Kalra, Arnab Bhattacharya |
| 2017 | CIKM | Tracking the Impact of Fact Deletions on Knowledge Graph Queries using Provenance Polynomials. | Garima Gaur, Srikanta J. Bedathur, Arnab Bhattacharya |
| 2017 | ICDE | K-Dominant Skyline Join Queries: Extending the Join Paradigm to K-Dominant Skylines. | Anuradha Awasthi, Arnab Bhattacharya, Sanchit Gupta, Ujjwal Kumar Singh |
| 2017 | ICDE | NetClus: A Scalable Framework for Locating Top-K Sites for Placement of Trajectory-Aware Services. | Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Sayan Ranu, Harsh Bhandari |
| 2017 | ITiCSE | Automatic Grading and Feedback using Program Repair for Introductory Programming Courses. | Sagar Parihar, Ziyaan Dadachanji, Praveen Kumar Singh, Rajdeep Das, Amey Karkare, Arnab Bhattacharya |
| 2017 | WWW | Neighbor-Aware Search for Approximate Labeled Graph Matching using the Chi-Square Statistics. | Sourav Dutta, Pratik Nayek, Arnab Bhattacharya |
| 2016 | COMAD | SkyCover: Finding Range-Constrained Approximate Skylines with Bounded Quality Guarantees. | Shubhendu Aggarwal, Shubhadip Mitra, Arnab Bhattacharya |
| 2016 | SSDBM | SMS: Stable Matching Algorithm using Skylines. | Rohit Anurag, Arnab Bhattacharya |
| 2015 | DASFAA | Mining Wikileaks Data to Identify Sentiment Polarities in International Relationships. | Arpit Jain, Arnab Bhattacharya |
| 2015 | INFOCOM | Trajectory aware macro-cell planning for mobile users. | Shubhadip Mitra, Sayan Ranu, Vinay Kolar, Aditya Telang, Arnab Bhattacharya, Ravi Kokku, Sriram Raghavan |
| 2015 | SSDBM | Probabilistic aggregate skyline join queries: skylines with aggregate operations over existentially uncertain relations. | Arnab Bhattacharya, Shrikant Awate |
| 2014 | SIGMOD | Mining statistically significant connected subgraphs in vertex labeled graphs. | Akhil Arora, Mayank Sachan, Arnab Bhattacharya |
| 2013 | CIKM | RCached-tree: an index structure for efficiently answering popular queries. | Manash Pal, Arnab Bhattacharya, Debjyoti Paul |
| 2013 | EDBT | Efficient edit distance based string similarity search using deletion neighborhoods. | Shashwat Mishra, Tejas Gandhi, Akhil Arora, Arnab Bhattacharya |
| 2012 | COMAD | Hybrid HBase: Leveraging Flash SSDs to Improve Cost per Throughput of HBase. | Anurag Awasthi, Avani Nandini, Arnab Bhattacharya, Priya Sehgal |
| 2011 | COMAD | Minimally Infrequent Itemset Mining using Pattern-Growth Paradigm and Residual Trees. | Ashish Gupta, Akshay Mittal, Arnab Bhattacharya |
| 2011 | DEXA | Caching Stars in the Sky: A Semantic Caching Approach to Accelerate Skyline Queries. | Arnab Bhattacharya, B. Palvali Teja, Sourav Dutta |
| 2011 | ICDE | A continuous query system for dynamic route planning. | Nirmesh Malviya, Samuel Madden, Arnab Bhattacharya |
| 2011 | WWW | Finding the bias and prestige of nodes in networks based on trust scores. | Abhinav Mishra, Arnab Bhattacharya |
| 2010 | COMAD | Aggregate Skyline Join Queries: Skylines with Aggregate Operations over Multiple Relations. | Arnab Bhattacharya, B. Palvali Teja |
| 2010 | COMAD | INSTRUCT - Space-Efficient Structure for Indexing and Complete Query Management of String Databases. | Sourav Dutta, Arnab Bhattacharya |
| 2010 | DEXA | Minimum Spanning Tree on Spatio-Temporal Networks. | Viswanath Gunturi, Shashi Shekhar, Arnab Bhattacharya |
| 2010 | EDBT | Querying spatial patterns. | Vishwakarma Singh, Arnab Bhattacharya, Ambuj K. Singh |
| 2010 | PAKDD | Most Significant Substring Mining Based on Chi-square Measure. | Sourav Dutta, Arnab Bhattacharya |
| 2010 | SSDBM | Finding Top-k Similar Pairs of Objects Annotated with Terms from an Ontology. | Arnab Bhattacharya, Abhishek Bhowmick, Ambuj K. Singh |
| 2009 | DEXA | On Low Distortion Embeddings of Statistical Distance Measures into Low Dimensional Spaces. | Arnab Bhattacharya, Purushottam Kar, Manjish Pal |
| 2009 | WiOpt | A fast Bayesian model for latent radio signal prediction. | Brett Houlding, Arnab Bhattacharya, Simon P. Wilson, Tim K. Forde |
| 2008 | SSDBM | Efficient Computation of Statistical Significance of Query Results in Databases. | Vishwakarma Singh, Arnab Bhattacharya, Ambuj K. Singh |
| 2007 | VLDB | MIST: Distributed Indexing and Querying in Sensor Networks using Statistical Models. | Arnab Bhattacharya, Anand Meka, Ambuj K. Singh |
| 2006 | EDBT | Indexing Spatially Sensitive Distance Measures Using Multi-resolution Lower Bounds. | Vebjorn Ljosa, Arnab Bhattacharya, Ambuj K. Singh |
| 2006 | ICDE | LB-Index: A Multi-Resolution Index Structure for Images. | Vebjorn Ljosa, Arnab Bhattacharya, Ambuj K. Singh |
| 2005 | ICDM | ViVo: Visual Vocabulary Construction for Mining Biomedical Images. | Arnab Bhattacharya, Vebjorn Ljosa, Jia-Yu Pan, Mark R. Verardo, Hyung-Jeong Yang, Christos Faloutsos, Ambuj K. Singh |
| 2004 | PSB | ProGreSS: Simultaneous Searching of Protein Databases by Sequence and Structure. | Arnab Bhattacharya, Tolga Can, Tamer Kahveci, Ambuj K. Singh, Yuan-Fang Wang |