| 2026 | ACL | MetFuse: Figurative Fusion between Metonymy and Metaphor. | Saptarshi Ghosh, Tianyu Jiang |
| 2026 | ACL | Exploring Concreteness Through a Figurative Lens. | Saptarshi Ghosh, Tianyu Jiang |
| 2026 | ACL | Evaluating the Impact of Verbal Multiword Expressions on Machine Translation. | Linfeng Liu, Saptarshi Ghosh, Tianyu Jiang |
| 2026 | EACL | Do LLM hallucination detectors suffer from low-resource effect? | Debtanu Datta, Mohan Kishore Chilukuri, Yash Kumar, Saptarshi Ghosh, Muhammad Bilal Zafar |
| 2026 | EACL | Benchmarking the Energy Savings with Speculative Decoding Strategies. | Rohit Dutta, Paramita Koley, Soham Poddar, Janardan Misra, Sanjay Podder, Naveen Balani, Saptarshi Ghosh, Niloy Ganguly |
| 2026 | EACL | A Computational Approach to Visual Metonymy. | Saptarshi Ghosh, Linfeng Liu, Tianyu Jiang |
| 2026 | EACL | ILSIC: Corpora for Identifying Indian Legal Statutes from Queries by Laymen. | Shounak Paul, Raghav Dogra, Pawan Goyal, Saptarshi Ghosh |
| 2026 | ISCAS | Toward Generative Silicon: The Next Frontier in Open-Source and AI-Driven Analog Design. | Mehdi Saligane, Anhang Li, Saptarshi Ghosh, Boris Murmann |
| 2025 | ACL | Label-semantics Aware Generative Approach for Domain-Agnostic Multilabel Classification. | Subhendu Khatuya, Shashwat Naidu, Saptarshi Ghosh, Pawan Goyal, Niloy Ganguly |
| 2025 | ACL | Brevity is the soul of sustainability: Characterizing LLM response lengths. | Soham Poddar, Paramita Koley, Janardan Misra, Niloy Ganguly, Saptarshi Ghosh |
| 2025 | EMNLP | IL-PCSR: Legal Corpus for Prior Case and Statute Retrieval. | Shounak Paul, Dhananjay Ghumare, Pawan Goyal, Saptarshi Ghosh, Ashutosh Modi |
| 2025 | ISCAS | Live Demonstration: A real-time event encoder for seizure monitoring on Neuromorphic Hardware. | Saptarshi Ghosh, Olympia Gallou, Shyam Narayanan, Jim Bartels, Giacomo Indiveri |
| 2025 | NAACL | ConMeC: A Dataset for Metonymy Resolution with Common Nouns. | Saptarshi Ghosh, Tianyu Jiang |
| 2025 | NAACL | Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models. | Soham Poddar, Paramita Koley, Janardan Misra, Niloy Ganguly, Saptarshi Ghosh |
| 2025 | RANLP | Enhancing Textual Understanding: Automated Claim Span Identification in English, Hindi, Bengali, and CodeMix. | Rudra Roy, Pritam Pal, Dipankar Das, Saptarshi Ghosh, Biswajit Paul |
| 2025 | VTC | Handoff Agent Selection for Handoff Delay Management in Vehicular Networks: An Evolutionary Game Theoretic Solution. | Sachin Sharma, Saptarshi Ghosh, Manav R. Bhatnagar, Bijaya Ketan Panigrahi |
| 2024 | ACL | IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning. | Abhinav Joshi, Shounak Paul, Akshat Sharma, Pawan Goyal, Saptarshi Ghosh, Ashutosh Modi |
| 2024 | AIES | Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace. | Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee, Abhijnan Chakraborty, Krishna P. Gummadi |
| 2024 | AIES | Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems. | Siddharth D. Jaiswal, Animesh Ganai, Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee |
| 2024 | CVPR | Convolutional Prompting meets Language Models for Continual Learning. | Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma, Saptarshi Ghosh, Abir Das |
| 2024 | ICPR | ICPR 2024 Competition on Multilingual Claim-Span Identification. | Soham Poddar, Biswajit Paul, Moumita Basu, Saptarshi Ghosh |
| 2024 | ICWSM | How COVID-19 Has Impacted the Anti-vaccine Discourse: A Large-Scale Twitter Study Spanning Pre-COVID and Post-COVID Era. | Soham Poddar, Rajdeep Mukherjee, Subhendu Khatuya, Niloy Ganguly, Saptarshi Ghosh |
| 2024 | NAACL | Parameter-Efficient Instruction Tuning of Large Language Models For Extreme Financial Numeral Labelling. | Subhendu Khatuya, Rajdeep Mukherjee, Akash Ghosh, Manjunath Hegde, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal |
| 2024 | NAACL | Beyond Borders: Investigating Cross-Jurisdiction Transfer in Legal Case Summarization. | T. Y. S. S. Santosh, Vatsal Venkatkrishna, Saptarshi Ghosh, Matthias Grabmair |
| 2024 | Networking | Intelligent Routing as a Service (iRaaS) A Flexible Routing Framework for Knowledge-Defined Networks. | Saptarshi Ghosh, Konstantinos Antonakoglou, Ioannis Mavromatis, Kostas Katsaros |
| 2024 | SIGIR | Instruction-Guided Bullet Point Summarization of Long Financial Earnings Call Transcripts. | Subhendu Khatuya, Koushiki Sinha, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal |
| 2024 | SIGIR | Legal Statute Identification: A Case Study using State-of-the-Art Datasets and Methods. | Shounak Paul, Rajas Bhatt, Pawan Goyal, Saptarshi Ghosh |
| 2023 | COMAD | AI & Law: Formative Developments, State-of-the-Art Approaches, Challenges & Opportunities. | Jack G. Conrad, Shirsha Ray Chaudhuri, Shounak Paul, Saptarshi Ghosh |
| 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 | MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments. | Debtanu Datta, Shubham Soni, Rajdeep Mukherjee, Saptarshi Ghosh |
| 2023 | ICAIL | How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization? | Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh |
| 2023 | ICAIL | Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law. | Shounak Paul, Arpan Mandal, Pawan Goyal, Saptarshi Ghosh |
| 2023 | ICCV | Exemplar-Free Continual Transformer with Convolutions. | Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das |
| 2023 | ICDAR | TransDocAnalyser: A Framework for Semi-structured Offline Handwritten Documents Analysis with an Application to Legal Domain. | Sagar Chakraborty, Gaurav Harit, Saptarshi Ghosh |
| 2023 | PIMRC | Game-Theoretic Flexible Resource Allocation for Handoff in Hybrid V2X Communication. | Sachin Sharma, Saptarshi Ghosh, Manav R. Bhatnagar, Bijaya K. Panigrahi |
| 2023 | SIGIR | Fairness for both Readers and Authors: Evaluating Summaries of User Generated Content. | Garima Chhikara, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty |
| 2022 | AAAI | LeSICiN: A Heterogeneous Graph-Based Approach for Automatic Legal Statute Identification from Indian Legal Documents. | Shounak Paul, Pawan Goyal, Saptarshi Ghosh |
| 2022 | EMNLP | ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts. | Rajdeep Mukherjee, Abhinav Bohra, Akash Banerjee, Soumya Sharma, Manjunath Hegde, Afreen Shaikh, Shivani Shrivastava, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal |
| 2022 | ICDCN | Social Media for Post-Disaster Relief: Mapping Needs and Availabilities to UNOCHA Resource Classes. | Amitrajit Bose, Sivangi Tandon, Moumita Basu, Saptarshi Ghosh |
| 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 |
| 2022 | ICWSM | Winds of Change: Impact of COVID-19 on Vaccine-Related Opinions of Twitter Users. | Soham Poddar, Mainack Mondal, Janardan Misra, Niloy Ganguly, Saptarshi Ghosh |
| 2022 | WWW | Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. | Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi |
| 2022 | SIGIR | CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines. | Soham Poddar, Azlaan Mustafa Samad, Rajdeep Mukherjee, Niloy Ganguly, Saptarshi Ghosh |
| 2021 | COMAD | Utilising Social Media for Post-Disaster Resource Allocation. | Moumita Basu, Sipra Das Bit, Saptarshi Ghosh |
| 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 |
| 2021 | JURIX | Improving Legal Case Summarization Using Document-Specific Catchphrases. | Arpan Mandal, Paheli Bhattacharya, Sekhar Mandal, 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 | COLING | Automatic Charge Identification from Facts: A Few Sentence-Level Charge Annotations is All You Need. | Shounak Paul, Pawan Goyal, Saptarshi Ghosh |
| 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 | COMAD | Identifying Multi-dimensional Information from Microblogs During Epidemics. | Shalmoli Ghosh, Koustav Rudra, Saptarshi Ghosh, Niloy Ganguly, Sanjay Podder, Naveen Balani, Neville Dubash |
| 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 | ICDCN | Identifying fact-checkable microblogs during disasters: a classification-ranking approach. | Divyank Barnwal, Siddharth Ghelani, Rohit Krishna, Moumita Basu, Saptarshi Ghosh |
| 2019 | INFOCOM | A Network-centric Framework for Auditing Recommendation Systems. | Abhisek Dash, Animesh Mukherjee, 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 | GLOBECOM | Energy-Aware IP Routing Over SDN. | Saptarshi Ghosh, Tasos Dagiuklas, Muddesar Iqbal |
| 2018 | HPCC | RESCUE: A Resilient Cloud Based IoT System for Emergency and Disaster Recovery. | Taher Khan, Saptarshi Ghosh, Muddesar Iqbal, George Ubakanma, Tasos Dagiuklas |
| 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 | 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 | CSCW | Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media. | Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P. Gummadi, Karrie Karahalios |
| 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 |
| 2017 | GLOBECOM | Self-Organization Towards Reduced Cost and Energy Per Bit for Future Emerging Radio Technologies - SONNET. | Shahid Mumtaz, Kazi Mohammed Saidul Huq, Jonathan Rodriguez, Saptarshi Ghosh, Emeka Emmanuel Ugwuanyi, Muddesar Iqbal, Tasos Dagiuklas, Stavros Stavrou, Loizos Kanaris, Ilias D. Politis, Asimakis Lykourgiotis, Theofilos Chrysikos, Polyxeni Nakou, Panagiotis Georgakopoulos |
| 2017 | ICWSM | Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations. | Abhijnan Chakraborty, Johnnatan Messias, Fabrcio Benevenuto, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi |
| 2017 | WWW | Optimizing the Recency-Relevancy Trade-off in Online News Recommendations. | Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi |
| 2016 | CSCW | On the Wisdom of Experts vs. Crowds: Discovering Trustworthy Topical News in Microblogs. | Muhammad Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Saptarshi Ghosh, Krishna P. Gummadi |
| 2016 | GLOBECOM | Achieving Secure Communication in CRN with Malicious Energy Harvester Using Game Theory. | Saptarshi Ghosh, Manav R. Bhatnagar, Ajay Singh, Bijaya K. Panigrahi |
| 2016 | ICWSM | Dissemination Biases of Social Media Channels: On the Topical Coverage of Socially Shared News. | Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi |
| 2016 | SOUPS | Forgetting in Social Media: Understanding and Controlling Longitudinal Exposure of Socially Shared Data. | Mainack Mondal, Johnnatan Messias, Saptarshi Ghosh, Krishna P. Gummadi, Aniket Kate |
| 2015 | CIKM | Extracting Situational Information from Microblogs during Disaster Events: a Classification-Summarization Approach. | Koustav Rudra, Subham Ghosh, Niloy Ganguly, Pawan Goyal, Saptarshi Ghosh |
| 2015 | COMSNETS | Extracting situational awareness from microblogs during disaster events. | Anirban Sen, Koustav Rudra, Saptarshi Ghosh |
| 2015 | ICWSM | Characterizing Information Diets of Social Media Users. | Juhi Kulshrestha, Muhammad Bilal Zafar, Lisette Espin Noboa, Krishna P. Gummadi, Saptarshi Ghosh |
| 2015 | PAKDD | #FewThingsAboutIdioms: Understanding Idioms and Its Users in the Twitter Online Social Network. | Koustav Rudra, Abhijnan Chakraborty, Manav Sethi, Shreyasi Das, Niloy Ganguly, Saptarshi Ghosh |
| 2014 | CSCW | Deep Twitter diving: exploring topical groups in microblogs at scale. | Parantapa Bhattacharya, Saptarshi Ghosh, Juhi Kulshrestha, Mainack Mondal, Muhammad Bilal Zafar, Niloy Ganguly, Krishna P. Gummadi |
| 2014 | RecSys | Inferring user interests in the Twitter social network. | Parantapa Bhattacharya, Muhammad Bilal Zafar, Niloy Ganguly, Saptarshi Ghosh, Krishna P. Gummadi |
| 2013 | CIKM | On sampling the wisdom of crowds: random vs. expert sampling of the twitter stream. | Saptarshi Ghosh, Muhammad Bilal Zafar, Parantapa Bhattacharya, Naveen Kumar Sharma, Niloy Ganguly, P. Krishna Gummadi |
| 2012 | WWW | Understanding and combating link farming in the twitter social network. | Saptarshi Ghosh, Bimal Viswanath, Farshad Kooti, Naveen Kumar Sharma, Gautam Korlam, Fabrcio Benevenuto, Niloy Ganguly, P. Krishna Gummadi |
| 2012 | SIGIR | Cognos: crowdsourcing search for topic experts in microblogs. | Saptarshi Ghosh, Naveen Kumar Sharma, Fabrcio Benevenuto, Niloy Ganguly, P. Krishna Gummadi |
| 2011 | Networking | Assessing the Effects of a Soft Cut-Off in the Twitter Social Network. | Saptarshi Ghosh, Ajitesh Srivastava, Niloy Ganguly |
| 2011 | WWW | Identifying overlapping communities in folksonomies or tripartite hypergraphs. | Saptarshi Ghosh, Pushkar Kane, Niloy Ganguly |
| 2011 | WWW | Spammers' networks within online social networks: a case-study on Twitter. | Saptarshi Ghosh, Gautam Korlam, Niloy Ganguly |
| 2008 | ICPR | Combining content and structure similarity for XML document classification using composite SVM kernels. | Saptarshi Ghosh, Pabitra Mitra |