| 2025 | ACL | Dense Retrieval with Quantity Comparison Intent. | Prayas Agrawal, Nandeesh Kumar, Muthusamy Chelliah, Surender Kumar, Soumen Chakrabarti |
| 2025 | ACL | MutantPrompt: Prompt Optimization via Mutation Under a Budget on Modest-sized LMs. | Arijit Nag, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti |
| 2025 | CIKM | Retrieval of Graph Structured Objects: Theory and Applications. | Indradyumna Roy, Soumen Chakrabarti, Abir De |
| 2025 | ECIR | Graph Representation of Tables+Text and Compact Subgraph Retrieval for QA Tasks. | Vishwajeet Kumar, Jaydeep Sen, Bhawna Chelani, Soumen Chakrabarti |
| 2025 | ICLR | Charting the Design Space of Neural Graph Representations for Subgraph Matching. | Vaibhav Raj, Indradyumna Roy, Ashwin Ramachandran, Soumen Chakrabarti, Abir De |
| 2025 | ICLR | Clique Number Estimation via Differentiable Functions of Adjacency Matrix Permutations. | Indradyumna Roy, Eeshaan Jain, Soumen Chakrabarti, Abir De |
| 2025 | ICML | Position: Graph Matching Systems Deserve Better Benchmarks. | Indradyumna Roy, Saswat Meher, Eeshaan Jain, Soumen Chakrabarti, Abir De |
| 2025 | NAACL | Diverse In-Context Example Selection After Decomposing Programs and Aligned Utterances Improves Semantic Parsing. | Mayank Kothyari, Sunita Sarawagi, Soumen Chakrabarti, Gaurav Arora, Srujana Merugu |
| 2025 | NAACL | Efficient Continual Pre-training of LLMs for Low-resource Languages. | Arijit Nag, Soumen Chakrabarti, Animesh Mukherjee, Niloy Ganguly |
| 2025 | WWW | Graph Regularized Encoder Training for Extreme Classification. | Anshul Mittal, Shikhar Mohan, Deepak Saini, Siddarth Asokan, Suchith Chidananda Prabhu, Lakshya Kumar, Pankaj Malhotra, Jian Jiao, Amit Singh, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma |
| 2024 | AAAI | Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning. | Subhabrata Dutta, Ishan Pandey, Joykirat Singh, Sunny Manchanda, Soumen Chakrabarti, Tanmoy Chakraborty |
| 2024 | EMNLP | Cost-Performance Optimization for Processing Low-Resource Language Tasks Using Commercial LLMs. | Arijit Nag, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti |
| 2023 | AAAI | Structured Case-Based Reasoning for Inference-Time Adaptation of Text-to-SQL Parsers. | Abhijeet Awasthi, Soumen Chakrabarti, Sunita Sarawagi |
| 2023 | ACL | Multi-Row, Multi-Span Distant Supervision For Table+Text Question Answering. | Vishwajeet Kumar, Yash Gupta, Saneem A. Chemmengath, Jaydeep Sen, Soumen Chakrabarti, Samarth Bharadwaj, Feifei Pan |
| 2023 | ACL | mOKB6: A Multilingual Open Knowledge Base Completion Benchmark. | Shubham Mittal, Keshav Kolluru, Soumen Chakrabarti, Mausam |
| 2023 | ACL | Entropy-guided Vocabulary Augmentation of Multilingual Language Models for Low-resource Tasks. | Arijit Nag, Bidisha Samanta, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti |
| 2023 | EACL | TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs. | Aditya Sharma, Apoorv Saxena, Chitrank Gupta, Seyed Mehran Kazemi, Partha P. Talukdar, Soumen Chakrabarti |
| 2023 | EMNLP | Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex Reasoning. | Gurusha Juneja, Subhabrata Dutta, Soumen Chakrabarti, Sunny Manchanda, Tanmoy Chakraborty |
| 2023 | EMNLP | CRUSH4SQL: Collective Retrieval Using Schema Hallucination For Text2SQL. | Mayank Kothyari, Dhruva Dhingra, Sunita Sarawagi, Soumen Chakrabarti |
| 2022 | AAAI | Interpretable Neural Subgraph Matching for Graph Retrieval. | Indradyumna Roy, Venkata Sai Baba Reddy Velugoti, Soumen Chakrabarti, Abir De |
| 2022 | ACL | Alignment-Augmented Consistent Translation for Multilingual Open Information Extraction. | Keshav Kolluru, Muqeeth Mohammed, Shubham Mittal, Soumen Chakrabarti, Mausam |
| 2022 | EMNLP | Joint Completion and Alignment of Multilingual Knowledge Graphs. | Soumen Chakrabarti, Harkanwar Singh, Shubham Lohiya, Prachi Jain, Mausam |
| 2022 | ICML | VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis. | Tathagat Verma, Abir De, Yateesh Agrawal, Vishwa Vinay, Soumen Chakrabarti |
| 2022 | NAACL | AIT-QA: Question Answering Dataset over Complex Tables in the Airline Industry. | Yannis Katsis, Saneem A. Chemmengath, Vishwajeet Kumar, Samarth Bharadwaj, Mustafa Canim, Michael R. Glass, Alfio Gliozzo, Feifei Pan, Jaydeep Sen, Karthik Sankaranarayanan, Soumen Chakrabarti |
| 2022 | SIGIR | Deep Knowledge Graph Representation Learning for Completion, Alignment, and Question Answering. | Soumen Chakrabarti |
| 2022 | WSDM | Semi-supervised Stance Detection of Tweets Via Distant Network Supervision. | Subhabrata Dutta, Samiya Caur, Soumen Chakrabarti, Tanmoy Chakraborty |
| 2021 | AAAI | Differentially Private Link Prediction with Protected Connections. | Abir De, Soumen Chakrabarti |
| 2021 | AAAI | Adversarial Permutation Guided Node Representations for Link Prediction. | Indradyumna Roy, Abir De, Soumen Chakrabarti |
| 2021 | ACL | Question Answering Over Temporal Knowledge Graphs. | Apoorv Saxena, Soumen Chakrabarti, Partha P. Talukdar |
| 2021 | CIKM | Integrating Transductive and Inductive Embeddings Improves Link Prediction Accuracy. | Chitrank Gupta, Yash Jain, Abir De, Soumen Chakrabarti |
| 2021 | CoNLL | A Data Bootstrapping Recipe for Low-Resource Multilingual Relation Classification. | Arijit Nag, Bidisha Samanta, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti |
| 2021 | ECIR | Joint Autoregressive and Graph Models for Software and Developer Social Networks. | Rima Hazra, Hardik Aggarwal, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti |
| 2021 | EMNLP | Topic Transferable Table Question Answering. | Saneem A. Chemmengath, Vishwajeet Kumar, Samarth Bharadwaj, Jaydeep Sen, Mustafa Canim, Soumen Chakrabarti, Alfio Gliozzo, Karthik Sankaranarayanan |
| 2021 | SIGIR | Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering. | Aman Jain, Mayank Kothyari, Vishwajeet Kumar, Preethi Jyothi, Ganesh Ramakrishnan, Soumen Chakrabarti |
| 2020 | ACL | IMoJIE: Iterative Memory-Based Joint Open Information Extraction. | Keshav Kolluru, Samarth Aggarwal, Vipul Rathore, Mausam, Soumen Chakrabarti |
| 2020 | COMAD | The Kauwa-Kaate Fake News Detection System: Demo. | Abhishek Bagade, Ashwini Pale, Shreyans Sheth, Megha Agarwal, Soumen Chakrabarti, Kameswari Chebrolu, S. Sudarshan |
| 2020 | EMNLP | Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols. | Prachi Jain, Sushant Rathi, Mausam, Soumen Chakrabarti |
| 2020 | EMNLP | OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction. | Keshav Kolluru, Vaibhav Adlakha, Samarth Aggarwal, Mausam, Soumen Chakrabarti |
| 2020 | EMNLP | NLP Service APIs and Models for Efficient Registration of New Clients. | Sahil Shah, Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi |
| 2020 | KDD | Deep Exogenous and Endogenous Influence Combination for Social Chatter Intensity Prediction. | Subhabrata Dutta, Sarah Masud, Soumen Chakrabarti, Tanmoy Chakraborty |
| 2020 | WWW | Interpretable Complex Question Answering. | Soumen Chakrabarti |
| 2020 | SIGIR | Deep Neural Matching Models for Graph Retrieval. | Kunal Goyal, Utkarsh Gupta, Abir De, Soumen Chakrabarti |
| 2019 | AAAI | GIRNet: Interleaved Multi-Task Recurrent State Sequence Models. | Divam Gupta, Tanmoy Chakraborty, Soumen Chakrabarti |
| 2019 | ACL | Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings. | Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti |
| 2019 | ACL | Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text. | Bidisha Samanta, Niloy Ganguly, Soumen Chakrabarti |
| 2019 | ECIR | Automated Early Leaderboard Generation from Comparative Tables. | Mayank Singh, Rajdeep Sarkar, Atharva Vyas, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti |
| 2019 | IJCAI | Neural Program Induction for KBQA Without Gold Programs or Query Annotations. | Ghulam Ahmed Ansari, Amrita Saha, Vishwajeet Kumar, Mohan Bhambhani, Karthik Sankaranarayanan, Soumen Chakrabarti |
| 2019 | IJCAI | A Deep Generative Model for Code Switched Text. | Bidisha Samanta, Sharmila Reddy, Hussain Jagirdar, Niloy Ganguly, Soumen Chakrabarti |
| 2019 | PAKDD | Multi-task Learning for Target-Dependent Sentiment Classification. | Divam Gupta, Kushagra Singh, Soumen Chakrabarti, Tanmoy Chakraborty |
| 2018 | AAAI | Task-Specific Representation Learning for Web-Scale Entity Disambiguation. | Rijula Kar, Susmija Reddy, Sourangshu Bhattacharya, Anirban Dasgupta, Soumen Chakrabarti |
| 2018 | ACL | Type-Sensitive Knowledge Base Inference Without Explicit Type Supervision. | Prachi Jain, Pankaj Kumar, Mausam, Soumen Chakrabarti |
| 2018 | ICLR | Generalizing Across Domains via Cross-Gradient Training. | Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi |
| 2018 | IJCAI | Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for KB Inference. | Prachi Jain, Shikhar Murty, Mausam, Soumen Chakrabarti |
| 2018 | SIGIR | Knowledge Extraction and Inference from Text: Shallow, Deep, and Everything in Between. | Soumen Chakrabarti |
| 2018 | SIGIR | New Embedded Representations and Evaluation Protocols for Inferring Transitive Relations. | Sandeep Subramanian, Soumen Chakrabarti |
| 2017 | CIKM | A Two-Stage Framework for Computing Entity Relatedness in Wikipedia. | Marco Ponza, Paolo Ferragina, Soumen Chakrabarti |
| 2017 | IJCAI | Earth Mover's Distance Pooling over Siamese LSTMs for Automatic Short Answer Grading. | Sachin Kumar, Soumen Chakrabarti, Shourya Roy |
| 2017 | KDD | Relay-Linking Models for Prominence and Obsolescence in Evolving Networks. | Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti |
| 2016 | ACL | Collective Entity Resolution with Multi-Focal Attention. | Amir Globerson, Nevena Lazic, Soumen Chakrabarti, Amarnag Subramanya, Michael Ringgaard, Fernando Pereira |
| 2014 | CIKM | Learning a Linear Influence Model from Transient Opinion Dynamics. | Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti |
| 2014 | EMNLP | Knowledge Graph and Corpus Driven Segmentation and Answer Inference for Telegraphic Entity-seeking Queries. | Mandar Joshi, Uma Sawant, Soumen Chakrabarti |
| 2014 | KDD | Open-domain quantity queries on web tables: annotation, response, and consensus models. | Sunita Sarawagi, Soumen Chakrabarti |
| 2013 | EMNLP | Joint Bootstrapping of Corpus Annotations and Entity Types. | Hrushikesh Mohapatra, Siddhanth Jain, Soumen Chakrabarti |
| 2013 | HiPC | Web-scale entity annotation using MapReduce. | Shashank Gupta, Varun Chandramouli, Soumen Chakrabarti |
| 2013 | ICDM | Discriminative Link Prediction Using Local Links, Node Features and Community Structure. | Abir De, Niloy Ganguly, Soumen Chakrabarti |
| 2013 | WWW | Learning joint query interpretation and response ranking. | Uma Sawant, Soumen Chakrabarti |
| 2012 | WWW | Compressed data structures for annotated web search. | Soumen Chakrabarti, Sasidhar Kasturi, Bharath Balakrishnan, Ganesh Ramakrishnan, Rohit Saraf |
| 2011 | KDD | Diversity in ranking via resistive graph centers. | Avinava Dubey, Soumen Chakrabarti, Chiranjib Bhattacharyya |
| 2011 | WWW | Social media: source of information or bunch of noise. | Amr El Abaddi, Lars Backstrom, Soumen Chakrabarti, Alejandro Jaimes, Jure Leskovec, Andrew Tomkins |
| 2011 | WWW | SCAD: collective discovery of attribute values. | Anton Bakalov, Ariel Fuxman, Partha Pratim Talukdar, Soumen Chakrabarti |
| 2011 | WWW | Web-scale entity-relation search architecture. | Soumen Chakrabarti, Devshree Sane, Ganesh Ramakrishnan |
| 2010 | COMAD | Making Web-scale Entity-Relationship Search a Reality. | Soumen Chakrabarti |
| 2009 | ICDM | Conditional Models for Non-smooth Ranking Loss Functions. | Avinava Dubey, Jinesh Machchhar, Chiranjib Bhattacharyya, Soumen Chakrabarti |
| 2009 | KDD | Collective annotation of Wikipedia entities in web text. | Sayali Kulkarni, Amit Singh, Ganesh Ramakrishnan, Soumen Chakrabarti |
| 2009 | SIGIR | Learning to rank for quantity consensus queries. | Somnath Banerjee, Soumen Chakrabarti, Ganesh Ramakrishnan |
| 2008 | ICDE | Index Design for Dynamic Personalized PageRank. | Amit Pathak, Soumen Chakrabarti, Manish S. Gupta |
| 2008 | KDD | Structured learning for non-smooth ranking losses. | Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chiru Bhattacharyya |
| 2008 | WWW | Fast algorithms for topk personalized pagerank queries. | Manish S. Gupta, Amit Pathak, Soumen Chakrabarti |
| 2007 | ICML | Learning random walks to rank nodes in graphs. | Alekh Agarwal, Soumen Chakrabarti |
| 2007 | WWW | Dynamic personalized pagerank in entity-relation graphs. | Soumen Chakrabarti |
| 2006 | ICDM | Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy. | Arpit Mathur, Soumen Chakrabarti |
| 2006 | KDD | Learning to rank networked entities. | Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal |
| 2006 | WWW | Optimizing scoring functions and indexes for proximity search in type-annotated corpora. | Soumen Chakrabarti, Kriti Puniyani, Sujatha Das |
| 2005 | NAACL | Enhanced Answer Type Inference from Questions using Sequential Models. | Vijay Krishnan, Sujatha Das, Soumen Chakrabarti |
| 2005 | WWW | Exploiting the dynamic networking effects of the web. | Ramesh Sarukkai, Soumen Chakrabarti, Gary William Flake, Narayanan Shivakumar, Asim M. Ansari |
| 2005 | SIGIR | SPIN: searching personal information networks. | Soumen Chakrabarti, Jeetendra Mirchandani, Arnab Nandi |
| 2005 | SODA | The influence of search engines on preferential attachment. | Soumen Chakrabarti, Alan M. Frieze, Juan Vera |
| 2005 | VLDB | Bidirectional Expansion For Keyword Search on Graph Databases. | Varun Kacholia, Shashank Pandit, Soumen Chakrabarti, S. Sudarshan, Rushi Desai, Hrishikesh Karambelkar |
| 2005 | VLDB | Shuffling a Stacked Deck: The Case for Partially Randomized Ranking of Search Engine Results. | Sandeep Pandey, Sourashis Roy, Christopher Olston, Junghoo Cho, Soumen Chakrabarti |
| 2004 | KDD | Discovering Links Between Lexical and Surface Features in Questions and Answers. | Soumen Chakrabarti |
| 2004 | WWW | Is question answering an acquired skill? | Ganesh Ramakrishnan, Soumen Chakrabarti, Deepa Paranjpe, Pushpak Bhattacharyya |
| 2004 | SIGMOD | Web-CAM: Monitoring the dynamic Web to respond to Continual Queries. | Shaveen Garg, Krithi Ramamritham, Soumen Chakrabarti |
| 2003 | ICDE | User Interaction in the BANKS System. | B. Aditya, Soumen Chakrabarti, Rushi Desai, Arvind Hulgeri, Hrishikesh Karambelkar, Rupesh Nasre, Parag, S. Sudarshan |
| 2003 | KDD | Cross-training: learning probabilistic mappings between topics. | Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godbole |
| 2003 | WWW | Monitoring the dynamic web to respond to continuous queries. | Sandeep Pandey, Krithi Ramamritham, Soumen Chakrabarti |
| 2002 | ICDE | Keyword Searching and Browsing in Databases using BANKS. | Gaurav Bhalotia, Arvind Hulgeri, Charuta Nakhe, Soumen Chakrabarti, S. Sudarshan |
| 2002 | KDD | Scaling multi-class support vector machines using inter-class confusion. | Shantanu Godbole, Sunita Sarawagi, Soumen Chakrabarti |
| 2002 | WWW | The structure of broad topics on the web. | Soumen Chakrabarti, Mukul Joshi, Kunal Punera, David M. Pennock |
| 2002 | WWW | Accelerated focused crawling through online relevance feedback. | Soumen Chakrabarti, Kunal Punera, Mallela Subramanyam |
| 2002 | VLDB | BANKS: Browsing and Keyword Searching in Relational Databases. | B. Aditya, Gaurav Bhalotia, Soumen Chakrabarti, Arvind Hulgeri, Charuta Nakhe, Parag, S. Sudarshan |
| 2002 | VLDB | Searching and Mining Fine-Grained Semi-Structured Data. | Soumen Chakrabarti |
| 2002 | VLDB | Fast and Accurate Text Classification via Multiple Linear Discriminant Projections. | Soumen Chakrabarti, Shourya Roy, Mahesh V. Soundalgekar |
| 2001 | ICDT | Hubs and Authorities: Spreading Out and Zooming In. | Soumen Chakrabarti |
| 2001 | WWW | Integrating the document object model with hyperlinks for enhanced topic distillation and information extraction. | Soumen Chakrabarti |
| 2001 | SIGIR | Enhanced Topic Distillation Using Text, Markup Tags, and Hyperlinks. | Soumen Chakrabarti, Mukul Joshi, Vivek Tawde |
| 2000 | KDD | Hypertext data mining (tutorial AM-1). | Soumen Chakrabarti |
| 2000 | VLDB | Memex: A Browsing Assistant for Collaborative Archiving and Mining of Surf Trails. | Soumen Chakrabarti, Sandeep Srivastava, Mallela Subramanyam, Mitul Tiwari |
| 1999 | SIGMOD | Hypertext Databases and Data Mining. | Soumen Chakrabarti |
| 1999 | VLDB | Distributed Hypertext Resource Discovery Through Examples. | Soumen Chakrabarti, Martin van den Berg, Byron Dom |
| 1998 | SIGMOD | Enhanced Hypertext Categorization Using Hyperlinks. | Soumen Chakrabarti, Byron Dom, Piotr Indyk |
| 1998 | SODA | Flow and Stretch Metrics for Scheduling Continuous Job Streams. | Michael A. Bender, Soumen Chakrabarti, S. Muthukrishnan |
| 1998 | VLDB | Mining Surprising Patterns Using Temporal Description Length. | Soumen Chakrabarti, Sunita Sarawagi, Byron Dom |
| 1997 | VLDB | Using Taxonomy, Discriminants, and Signatures for Navigating in Text Databases. | Soumen Chakrabarti, Byron Dom, Rakesh Agrawal, Prabhakar Raghavan |
| 1996 | ICALP | Improved Scheduling Algorithms for Minsum Criteria. | Soumen Chakrabarti, Cynthia A. Phillips, Andreas S. Schulz, David B. Shmoys, Clifford Stein, Joel Wein |
| 1996 | PLDI | Global Communication Analysis and Optimization. | Soumen Chakrabarti, Manish Gupta, Jong-Deok Choi |
| 1996 | SPAA | Resource Scheduling for Parallel Database and Scientific Applications. | Soumen Chakrabarti, S. Muthukrishnan |
| 1995 | STOC | Parallel randomized load balancing (Preliminary Version). | Micah Adler, Soumen Chakrabarti, Michael Mitzenmacher, Lars Eilstrup Rasmussen |
| 1995 | SPAA | Modeling the Benefits of Mixed Data and Task Parallelism. | Soumen Chakrabarti, James Demmel, Katherine A. Yelick |
| 1993 | PPoPP | Implementing an Irregular Application on a Distributed Memory Multiprocessor. | Soumen Chakrabarti, Katherine A. Yelick |