ProGreSS: Simultaneous Searching of Protein Databases by Sequence and Structure. - Arnab Bhattacharya 001; Tolga Can; Tamer Kahveci; Ambuj K. Singh; Yuan-Fang Wang (Pacific Symposium on Biocomputing, 2004)

Current Challenges in Bioimage Database Design. - Ambuj K. Singh; Arnab Bhattacharya 001; Vebjorn Ljosa (CSB Workshops, 2005)

ViVo: Visual Vocabulary Construction for Mining Biomedical Images. - Arnab Bhattacharya 001; Vebjorn Ljosa; Jia-Yu Pan; Mark R. Verardo; Hyung-Jeong Yang; Christos Faloutsos; Ambuj K. Singh (ICDM, 2005)

Indexing Spatially Sensitive Distance Measures Using Multi-resolution Lower Bounds. - Vebjorn Ljosa; Arnab Bhattacharya 001; Ambuj K. Singh (EDBT, 2006)

LB-Index: A Multi-Resolution Index Structure for Images. - Vebjorn Ljosa; Arnab Bhattacharya 001; Ambuj K. Singh (ICDE, 2006)

MIST: Distributed Indexing and Querying in Sensor Networks using Statistical Models. - Arnab Bhattacharya 001; Anand Meka; Ambuj K. Singh (VLDB, 2007)

Efficient Computation of Statistical Significance of Query Results in Databases. - Vishwakarma Singh; Arnab Bhattacharya 001; Ambuj K. Singh (SSDBM, 2008)

A general modeling and visualization tool for comparing different members of a group: application to studying tau-mediated regulation of microtubule dynamics. - Arnab Bhattacharya 001; Sasha Levy; Adria LeBoeuf; Michelle Gaylord; Leslie Wilson; Ambuj K. Singh; Stuart C. Feinstein (BMC Bioinform., 2008)

On Low Distortion Embeddings of Statistical Distance Measures into Low Dimensional Spaces. - Arnab Bhattacharya 001; Purushottam Kar; Manjish Pal (DEXA, 2009)

Finding Significant Subregions in Large Image Databases - Vishwakarma Singh; Arnab Bhattacharya 001; Ambuj K. Singh (CoRR, 2009)

Image Management for Biological Data. - Arnab Bhattacharya 001; Vebjorn Ljosa (Encyclopedia of Database Systems, 2009)

Aggregate Skyline Join Queries: Skylines with Aggregate Operations over Multiple Relations. - Arnab Bhattacharya 001; B. Palvali Teja (COMAD, 2010)

INSTRUCT - Space-Efficient Structure for Indexing and Complete Query Management of String Databases. - Sourav Dutta 001; Arnab Bhattacharya 001 (COMAD, 2010)

Minimum Spanning Tree on Spatio-Temporal Networks. - Viswanath Gunturi; Shashi Shekhar 001; Arnab Bhattacharya 001 (DEXA (2), 2010)

Querying spatial patterns. - Vishwakarma Singh; Arnab Bhattacharya 001; Ambuj K. Singh (EDBT, 2010)

Most Significant Substring Mining Based on Chi-square Measure. - Sourav Dutta 001; Arnab Bhattacharya 001 (PAKDD (1), 2010)

Finding Top-k Similar Pairs of Objects Annotated with Terms from an Ontology. - Arnab Bhattacharya 001; Abhishek Bhowmick 001; Ambuj K. Singh (SSDBM, 2010)

Mining Statistically Significant Substrings Based on the Chi-Square Measure - Sourav Dutta 001; Arnab Bhattacharya 001 (CoRR, 2010)

Minimally Infrequent Itemset Mining using Pattern-Growth Paradigm and Residual Trees. - Ashish Gupta 002; Akshay Mittal; Arnab Bhattacharya 001 (COMAD, 2011)

Caching Stars in the Sky: A Semantic Caching Approach to Accelerate Skyline Queries. - Arnab Bhattacharya 001; B. Palvali Teja; Sourav Dutta 001 (DEXA (2), 2011)

A continuous query system for dynamic route planning. - Nirmesh Malviya; Samuel Madden 001; Arnab Bhattacharya 001 (ICDE, 2011)

Finding the bias and prestige of nodes in networks based on trust scores. - Abhinav Mishra; Arnab Bhattacharya 001 (WWW, 2011)

A Plant Identification System using Shape and Morphological Features on Segmented Leaflets: Team IITK, CLEF 2012. - Akhil Arora 001; Ankit Gupta; Nitesh Bagmar; Shashwat Mishra; Arnab Bhattacharya 001 (CLEF (Online Working Notes/Labs/Workshop), 2012)

Hybrid HBase: Leveraging Flash SSDs to Improve Cost per Throughput of HBase. - Anurag Awasthi; Avani Nandini; Arnab Bhattacharya 001; Priya Sehgal (COMAD, 2012)

Mining Statistically Significant Substrings using the Chi-Square Statistic. - Mayank Sachan; Arnab Bhattacharya 001 (Proc. VLDB Endow., 2012)

RCached-tree: an index structure for efficiently answering popular queries. - Manash Pal; Arnab Bhattacharya 001; Debjyoti Paul (CIKM, 2013)

Efficient edit distance based string similarity search using deletion neighborhoods. - Shashwat Mishra; Tejas Gandhi; Akhil Arora 001; Arnab Bhattacharya 001 (EDBT/ICDT Workshops, 2013)

Evolution of the Modern Phase of Written Bangla: A Statistical Study. - Paheli Bhattacharya; Arnab Bhattacharya 001 (MIKE, 2013)

Constraint Satisfaction over Generalized Staircase Constraints - Shubhadip Mitra; Partha Dutta; Arnab Bhattacharya 001 (CoRR, 2013)

Emotion Recognition from Audio and Visual Data using F-score based Fusion. - Abhishek Gera; Arnab Bhattacharya 001 (CODS, 2014)

Efficient and Effective Route Planning in Road Networks with Probabilistic Data using Skyline Paths. - Arzoo Katiyar; Arnab Bhattacharya 001; Shubhadip Mitra (CODS, 2014)

Mining statistically significant connected subgraphs in vertex labeled graphs. - Akhil Arora 001; Mayank Sachan; Arnab Bhattacharya 001 (SIGMOD Conference, 2014)

Generation of Random Digital Curves Using Combinatorial Techniques. - Apurba Sarkar; Arindam Biswas 002; Mousumi Dutt; Arnab Bhattacharya 001 (CALDAM, 2015)

Using social connections to improve collaborative filtering. - Kanish Manuja; Arnab Bhattacharya 001 (CODS, 2015)

Mining Wikileaks Data to Identify Sentiment Polarities in International Relationships. - Arpit Jain; Arnab Bhattacharya 001 (DASFAA Workshops, 2015)

Trajectory aware macro-cell planning for mobile users. - Shubhadip Mitra; Sayan Ranu; Vinay Kolar; Aditya Telang; Arnab Bhattacharya 001; Ravi Kokku; Sriram Raghavan (INFOCOM, 2015)

Generation of Random Triangular Digital Curves Using Combinatorial Techniques. - Apurba Sarkar; Arindam Biswas 002; Mousumi Dutt; Arnab Bhattacharya 001 (PReMI, 2015)

Probabilistic aggregate skyline join queries: skylines with aggregate operations over existentially uncertain relations. - Arnab Bhattacharya 001; Shrikant Awate (SSDBM, 2015)

SkyCover: Finding Range-Constrained Approximate Skylines with Bounded Quality Guarantees. - Shubhendu Aggarwal; Shubhadip Mitra; Arnab Bhattacharya 001 (COMAD, 2016)

Finding Largest Rectangle Inside a Digital Object. - Apurba Sarkar; Arindam Biswas 002; Mousumi Dutt; Arnab Bhattacharya 001 (CTIC, 2016)

SMS: Stable Matching Algorithm using Skylines. - Rohit Anurag; Arnab Bhattacharya 001 (SSDBM, 2016)

GARUDA: A System for Large-Scale Mining of Statistically Significant Connected Subgraphs. - Satyajit Bhadange; Akhil Arora 001; Arnab Bhattacharya 001 (Proc. VLDB Endow., 2016)

Tracking the Impact of Fact Deletions on Knowledge Graph Queries using Provenance Polynomials. - Garima Gaur; Srikanta J. Bedathur; Arnab Bhattacharya 001 (CIKM, 2017)

Stopword Removal: Why Bother? A Case Study on Verbose Queries. - Kripabandhu Ghosh; Arnab Bhattacharya 001 (COMPUTE, 2017)

Optimal Algorithms for Min-Closed, Max-Closed and Arc Consistency over Connected Row Convex Constraints. - Shubhadip Mitra; Partha Dutta; Arnab Bhattacharya 001 (COMPUTE, 2017)

Overview of the FIRE 2017 IRLeD Track: Information Retrieval from Legal Documents. - Arpan Mandal; Kripabandhu Ghosh; Arnab Bhattacharya 001; Arindam Pal 001; Saptarshi Ghosh 001 (FIRE (Working Notes), 2017)

K-Dominant Skyline Join Queries: Extending the Join Paradigm to K-Dominant Skylines. - Anuradha Awasthi; Arnab Bhattacharya 001; Sanchit Gupta; Ujjwal Kumar Singh (ICDE, 2017)

NetClus: A Scalable Framework for Locating Top-K Sites for Placement of Trajectory-Aware Services. - Shubhadip Mitra; Priya Saraf; Richa Sharma; Arnab Bhattacharya 001; Sayan Ranu; Harsh Bhandari (ICDE, 2017)

Automatic Grading and Feedback using Program Repair for Introductory Programming Courses. - Sagar Parihar; Ziyaan Dadachanji; Praveen Kumar Singh; Rajdeep Das; Amey Karkare; Arnab Bhattacharya 001 (ITiCSE, 2017)

Neighbor-Aware Search for Approximate Labeled Graph Matching using the Chi-Square Statistics. - Sourav Dutta 001; Pratik Nayek; Arnab Bhattacharya 001 (WWW, 2017)

SkyGraph: Retrieving Regions of Interest using Skyline Subgraph Queries. - Shiladitya Pande; Sayan Ranu; Arnab Bhattacharya 001 (Proc. VLDB Endow., 2017)

LDA Topic Modeling Based Dataset Dependency Matrix Prediction. - Hindol Bhattacharya; Arnab Bhattacharya 001; Samiran Chattopadhyay; Matangini Chattopadhyay (CICBA (2), 2018)

International Workshop on Legal Data Analytics and Mining (LeDAM 2018): Preface to the Proceedings. - Arindam Pal 001; Arnab Bhattacharya 001; Indrajit Bhattacharya; Kripabandhu Ghosh; Lipika Dey; Marie-Francine Moens; Saptarshi Ghosh 001 (CIKM Workshops, 2018)

Finding shell company accounts using anomaly detection. - Devendra Kumar Luna; Girish Keshav Palshikar; Manoj Apte; Arnab Bhattacharya 001 (COMAD/CODS, 2018)

MineAr: using crowd knowledge for mining association rules in the health domain. - Milan Someswar; Arnab Bhattacharya 001 (COMAD/CODS, 2018)

Patterns for Indexing Large Datasets. - Garima Gaur; Sumit Kalra; Arnab Bhattacharya 001 (EuroPLoP, 2018)

Identifying User Intent and Context in Graph Queries. - Jithin Vachery; Akhil Arora 001; Sayan Ranu; Arnab Bhattacharya 001 (CoRR, 2018)

Learning Multilingual Embeddings for Cross-Lingual Information Retrieval in the Presence of Topically Aligned Corpora. - Mitodru Niyogi; Kripabandhu Ghosh; Arnab Bhattacharya 001 (CoRR, 2018)

Finding a largest rectangle inside a digital object and rectangularization. - Apurba Sarkar; Arindam Biswas 002; Mousumi Dutt; Arnab Bhattacharya 001 (J. Comput. Syst. Sci., 2018)

HD-Index: Pushing the Scalability-Accuracy Boundary for Approximate kNN Search in High-Dimensional Spaces. - Akhil Arora 001; Sakshi Sinha; Piyush Kumar; Arnab Bhattacharya 001 (Proc. VLDB Endow., 2018)

Image Management for Biological Data. - Arnab Bhattacharya 001; Vebjorn Ljosa (Encyclopedia of Database Systems (2nd ed.), 2018)

NetClus: A Scalable Framework to Mine Top-K Locations for Placement of Trajectory-Aware Services. - Shubhadip Mitra; Priya Saraf; Richa Sharma; Arnab Bhattacharya 001; Sayan Ranu (COMAD/CODS, 2019)

FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance. - Paheli Bhattacharya; Kripabandhu Ghosh; Saptarshi Ghosh 001; Arindam Pal 001; Parth Mehta 001; Arnab Bhattacharya 001; Prasenjit Majumder (FIRE, 2019)

Overview of the FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance. - Paheli Bhattacharya; Kripabandhu Ghosh; Saptarshi Ghosh 001; Arindam Pal 001; Parth Mehta 001; Arnab Bhattacharya 001; Prasenjit Majumder (FIRE (Working Notes), 2019)

GRADES-NDA 2019: Joint International Workshop on Graph Data Management Experiences & Systems and Network Data Analytics. - Akhil Arora 001; Arnab Bhattacharya 001; George H. L. Fletcher (SIGMOD Conference, 2019)

RAQ: Relationship-Aware Graph Querying in Large Networks. - Jithin Vachery; Akhil Arora 001; Sayan Ranu; Arnab Bhattacharya 001 (WWW, 2019)

How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs. - Garima Gaur; Arnab Bhattacharya 001; Srikanta Bedathur (CIKM, 2020)

Overview of the FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance. - Paheli Bhattacharya; Parth Mehta 001; Kripabandhu Ghosh; Saptarshi Ghosh 001; Arindam Pal 001; Arnab Bhattacharya 001; Prasenjit Majumder (FIRE (Working Notes), 2020)

FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance. - Paheli Bhattacharya; Parth Mehta 001; Kripabandhu Ghosh; Saptarshi Ghosh 001; Arindam Pal 001; Arnab Bhattacharya 001; Prasenjit Majumder (FIRE, 2020)

GraphReach: Locality-Aware Graph Neural Networks using Reachability Estimations. - Sunil Nishad; Shubhangi Agarwal 001; Arnab Bhattacharya 001; Sayan Ranu (CoRR, 2020)

ChiSeL: Graph Similarity Search using Chi-Squared Statistics in Large Probabilistic Graphs. - Shubhangi Agarwal 001; Sourav Dutta 001; Arnab Bhattacharya 001 (Proc. VLDB Endow., 2020)

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 001; Ashutosh Modi (ACL/IJCNLP (1), 2021)

VerSaChI: Finding Statistically Significant Subgraph Matches using Chebyshev's Inequality. - Shubhangi Agarwal 001; Sourav Dutta 001; Arnab Bhattacharya 001 (CIKM, 2021)

Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs. - Garima Gaur; Abhishek Dang; Arnab Bhattacharya 001; Srikanta Bedathur (CIKM, 2021)

Exploring State-of-the-Art Nearest Neighbor (NN) Search Techniques. - Parth Nagarkar; Arnab Bhattacharya 001; Omid Jafari (COMAD/CODS, 2021)

AILA 2021: Shared task on Artificial Intelligence for Legal Assistance. - Vedant Parikh; Upal Bhattacharya; Parth Mehta 001; Ayan Bandyopadhyay; Paheli Bhattacharya; Kripabandhu Ghosh; Saptarshi Ghosh 001; Arindam Pal 001; Arnab Bhattacharya 001; Prasenjit Majumder (FIRE, 2021)

Overview of the Third Shared Task on Artificial Intelligence for Legal Assistance at FIRE 2021. - Vedant Parikh; Upal Bhattacharya; Parth Mehta 001; Ayan Bandyopadhyay; Paheli Bhattacharya; Kripabandhu Ghosh; Saptarshi Ghosh 001; Arindam Pal 001; Arnab Bhattacharya 001; Prasenjit Majumder (FIRE (Working Notes), 2021)

GraphReach: Position-Aware Graph Neural Network using Reachability Estimations. - Sunil Nishad; Shubhangi Agarwal 001; Arnab Bhattacharya 001; Sayan Ranu (IJCAI, 2021)

Sangrahaka: a tool for annotating and querying knowledge graphs. - Hrishikesh Terdalkar; Arnab Bhattacharya 001 (ESEC/SIGSOFT FSE, 2021)

ILDC for CJPE: Indian Legal Documents Corpus for Court JudgmentPrediction and Explanation. - Vijit Malik; Rishabh Sanjay; Shubham Kumar Nigam; Kripabandhu Ghosh; Shouvik Kumar Guha; Arnab Bhattacharya 001; Ashutosh Modi (CoRR, 2021)

TIPS: Mining Top-K Locations to Minimize User-Inconvenience for Trajectory-Aware Services. - Shubhadip Mitra; Priya Saraf; Arnab Bhattacharya 001 (IEEE Trans. Knowl. Data Eng., 2021)

Semantic Segmentation of Legal Documents via Rhetorical Roles. - Vijit Malik; Rishabh Sanjay; Shouvik Kumar Guha; Angshuman Hazarika; Shubham Kumar Nigam; Arnab Bhattacharya 001; Ashutosh Modi (NLLP@EMNLP, 2022)

HLDC: Hindi Legal Documents Corpus. - Arnav Kapoor; Mudit Dhawan; Anmol Goel; T. H. Arjun; Akshala Bhatnagar; Vibhu Agrawal; Amul Agrawal; Arnab Bhattacharya 001; Ponnurangam Kumaraguru; Ashutosh Modi (ACL (Findings), 2022)

Prediction of CardioVascular Disease (CVD) using Ensemble Learning Algorithms. - C. Oswald 001; Gadi Jaya Sathwika; Arnab Bhattacharya 001 (COMAD/CODS, 2022)

Comparison of In-Situ FOG Observations with Insat-3D Satellite FOG Product for North Indian Cities. - Prasad Deshpande; Shivam Tripathi; Arnab Bhattacharya 001 (IGARSS, 2022)

nigam@COLIEE-22: Legal Case Retrieval and Entailment Using Cascading of Lexical and Semantic-Based Models. - Shubham Kumar Nigam; Navansh Goel; Arnab Bhattacharya 001 (JSAI-isAI Workshops, 2022)

Predictions of Reynolds and Nusselt numbers in turbulent convection using machine-learning models. - Shashwat Bhattacharya; Mahendra K. Verma; Arnab Bhattacharya 001 (CoRR, 2022)

Semantic Annotation and Querying Framework based on Semi-structured Ayurvedic Text. - Hrishikesh Terdalkar; Arnab Bhattacharya 001; Madhulika Dubey; Ramamurthy S; Bhavna Naneria Singh (CoRR, 2022)

Chandojnanam: A Sanskrit Meter Identification and Utilization System. - Hrishikesh Terdalkar; Arnab Bhattacharya 001 (CoRR, 2022)

SpotSpam: Intention Analysis-driven SMS Spam Detection Using BERT Embeddings. - C. Oswald 001; Sona Elza Simon; Arnab Bhattacharya 001 (ACM Trans. Web, 2022)

Report on the 2nd Symposium on Artificial Intelligence and Law (SAIL) 2022. - Saptarshi Ghosh 001; Kripabandhu Ghosh; Debasis Ganguly; Arnab Bhattacharya 001; Partha Pratim Chakrabarti; Shouvik Kumar Guha; Arindam Pal 001; Koustav Rudra; Prasenjit Majumder; Dwaipayan Roy 001; Ayan Bandopadhyay; Procheta Sen; et al. (SIGIR Forum, 2022)

Task and Model Agnostic Adversarial Attack on Graph Neural Networks. - Kartik Sharma; Samidha Verma; Sourav Medya; Arnab Bhattacharya 001; Sayan Ranu (AAAI, 2023)

Cognate Transformer for Automated Phonological Reconstruction and Cognate Reflex Prediction. - V. S. D. S. Mahesh Akavarapu; Arnab Bhattacharya 001 (EMNLP, 2023)

VACASPATI: A Diverse Corpus of Bangla Literature. - Pramit Bhattacharyya; Joydeep Mondal; Subhadip Maji; Arnab Bhattacharya 001 (IJCNLP (1), 2023)

Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation. - Shubham Kumar Nigam; Aniket Deroy; Noel Shallum; Ayush Kumar Mishra; Anup Roy; Shubham Kumar Mishra; Arnab Bhattacharya 001; Saptarshi Ghosh 001; Kripabandhu Ghosh (SemEval@ACL, 2023)

Comparative Analysis of Artificial Intelligence for Indian Legal Question Answering (AILQA) Using Different Retrieval and QA Models. - Shubham Kumar Nigam; Shubham Kumar Mishra; Ayush Kumar Mishra; Noel Shallum; Arnab Bhattacharya 001 (CoRR, 2023)

Antarlekhaka: A Comprehensive Tool for Multi-task Natural Language Annotation. - Hrishikesh Terdalkar; Arnab Bhattacharya 001 (CoRR, 2023)

Framework for Question-Answering in Sanskrit through Automated Construction of Knowledge Graphs. - Hrishikesh Terdalkar; Arnab Bhattacharya 001 (CoRR, 2023)

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 001 (ACL (Findings), 2024)

VeNoM: Approximate Subgraph Matching with Enhanced Neighbourhood Structural Information. - Shubhangi Agarwal 001; Sourav Dutta 001; Arnab Bhattacharya 001 (COMAD/CODS, 2024)

Forecasting of Fog Index and Prediction Interval using Bayesian Methods. - Kriti Bajaj; Ushakiran Mannam; Prasad Deshpande; Yash Patil; Arnab Bhattacharya 001; Shivam Tripathi (COMAD/CODS (December), 2024)

Short-Term Fog Forecasting using Meteorological Observations at Airports in North India. - Shruti Sharma; Kriti Bajaj; Prasad Deshpande; Arnab Bhattacharya 001; Shivam Tripathi (COMAD/CODS, 2024)

Automated Cognate Detection as a Supervised Link Prediction Task with Cognate Transformer. - V. S. D. S. Mahesh Akavarapu; Arnab Bhattacharya 001 (EACL (1), 2024)

A Likelihood Ratio Test of Genetic Relationship among Languages. - V. S. D. S. Mahesh Akavarapu; Arnab Bhattacharya 001 (NAACL-HLT, 2024)

Paramanu: A Family of Novel Efficient Indic Generative Foundation Language Models. - Mitodru Niyogi; Arnab Bhattacharya 001 (CoRR, 2024)

PARAMANU-AYN: An Efficient Novel Generative and Instruction-tuned Language Model for Indian Legal Case Documents. - Mitodru Niyogi; Arnab Bhattacharya 001 (CoRR, 2024)

PARAMANU-GANITA: Language Model with Mathematical Capabilities. - Mitodru Niyogi; Arnab Bhattacharya 001 (CoRR, 2024)

VAIYAKARANA : A Benchmark for Automatic Grammar Correction in Bangla. - Pramit Bhattacharyya; Arnab Bhattacharya 001 (CoRR, 2024)

RSVP: Beyond Weisfeiler Lehman Graph Isomorphism Test. - Sourav Dutta 001; Arnab Bhattacharya 001 (CoRR, 2024)

Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Models. - Shubham Kumar Nigam; Aniket Deroy; Subhankar Maity; Arnab Bhattacharya 001 (CoRR, 2024)

NyayaAnumana & 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 001 (CoRR, 2024)

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 001; Vishakha Deulgaonkar; Chaitali Dangarikar; Pralay Manna; Arnab Bhattacharya 001 (ACL (Findings), 2025)

Leveraging LLMs for Bangla Grammar Error Correction: Error Categorization, Synthetic Data, and Model Evaluation. - Pramit Bhattacharyya; Arnab Bhattacharya 001 (ACL (Findings), 2025)

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 001 (COLING, 2025)

LegalSeg: Unlocking the Structure of Indian Legal Judgments Through Rhetorical Role Classification. - Shubham Kumar Nigam; Tanmay Dubey; Govind Sharma 004; Noel Shallum; Kripabandhu Ghosh; Arnab Bhattacharya 001 (NAACL (Findings), 2025)

Structured Legal Document Generation in India: A Model-Agnostic Wrapper Approach with VidhikDastaavej. - Shubham Kumar Nigam; Balaramamahanthi Deepak Patnaik; Ajay Varghese Thomas; Noel Shallum; Kripabandhu Ghosh; Arnab Bhattacharya 001 (CoRR, 2025)

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 001 (CoRR, 2025)

BanglaByT5: Byte-Level Modelling for Bangla. - Pramit Bhattacharyya; Arnab Bhattacharya 001 (CoRR, 2025)

Segment First, Retrieve Better: Realistic Legal Search via Rhetorical Role-Based Queries. - Shubham Kumar Nigam; Tanmay Dubey; Noel Shallum; Arnab Bhattacharya 001 (CoRR, 2025)

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 001 (CoRR, 2025)

IBPS: Indian Bail Prediction System. - Puspesh Kumar Srivastava; Uddeshya Raj; Praveen Patel; Shubham Kumar Nigam; Noel Shallum; Arnab Bhattacharya 001 (CoRR, 2025)