| 2026 | ACL | Combining Distantly Supervised Models with In Context Learning for Monolingual and Cross-Lingual Relation Extraction. | Vipul Kumar Rathore, Malik Hammad Faisal, Parag Singla, Mausam |
| 2025 | ACL | Iterative Repair with Weak Verifiers for Few-shot Transfer in KBQA with Unanswerability. | Riya Sawhney, Samrat Yadav, Indrajit Bhattacharya, Mausam |
| 2025 | EMNLP | LRPLAN: A Multi-Agent Collaboration of Large Language and Reasoning Models for Planning with Implicit & Explicit Constraints. | T Karthikeyan, Om Dehlan, Mausam, Manish Gupta |
| 2025 | EMNLP | STARQA: A Question Answering Dataset for Complex Analytical Reasoning over Structured Databases. | Mounica Maddela, Lingjue Xie, Daniel Preotiuc-Pietro, Mausam |
| 2025 | IJCNLP | Towards Multimodal Question Answering in Educational Domain. | Himanshu Wadhwa, T Karthikeyan, Mausam, Manish Gupta |
| 2025 | KDD | A Framework for Leveraging Partially-Labeled Data for Product Attribute-Value Identification. | D. Subhalingam, Keshav Kolluru, Mausam, Saurabh Singal |
| 2024 | AAAI | GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following. | Jigyasa Gupta, Shreya Sharma, Shreshth Tuli, Rohan Paul, Mausam |
| 2024 | ACL | RetinaQA: A Robust Knowledge Base Question Answering Model for both Answerable and Unanswerable Questions. | Prayushi Faldu, Indrajit Bhattacharya, Mausam |
| 2024 | ACL | DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion. | Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam |
| 2024 | ACL | Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning. | Mayur Patidar, Riya Sawhney, Avinash Kumar Singh, Biswajit Chatterjee, Mausam, Indrajit Bhattacharya |
| 2024 | EMNLP | SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language Models. | Vipul Kumar Rathore, Aniruddha Deb, Ankish Kumar Chandresh, Parag Singla, Mausam |
| 2024 | EMNLP | Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems. | Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam |
| 2024 | EMNLP | MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations. | Vishal Vivek Saley, Goonjan Saha, Rocktim Jyoti Das, Dinesh Raghu, Mausam |
| 2023 | ACL | Multimodal Persona Based Generation of Comic Dialogs. | Harsh Agrawal, Aditya Mishra, Manish Gupta, Mausam |
| 2023 | ACL | DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles. | Tanishq Gupta, Mohd Zaki, Devanshi Khatsuriya, Kausik Hira, N. M. Anoop Krishnan, Mausam |
| 2023 | ACL | mOKB6: A Multilingual Open Knowledge Base Completion Benchmark. | Shubham Mittal, Keshav Kolluru, Soumen Chakrabarti, Mausam |
| 2023 | ACL | Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion. | Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam |
| 2023 | ACL | Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions. | Mayur Patidar, Prayushi Faldu, Avinash Kumar Singh, Lovekesh Vig, Indrajit Bhattacharya, Mausam |
| 2023 | ACL | DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies. | Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam |
| 2023 | CVPR | DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting. | Aayush Kumar Tyagi, Chirag Mohapatra, Prasenjit Das, Govind Makharia, Lalita Mehra, Prathosh AP, Mausam |
| 2023 | EMNLP | Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs. | Pranjal Aggarwal, Aman Madaan, Yiming Yang, Mausam |
| 2023 | EMNLP | Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models. | Daman Arora, Himanshu Gaurav Singh, Mausam |
| 2023 | EMNLP | ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language Adapters. | Vipul Rathore, Rajdeep Dhingra, Parag Singla, Mausam |
| 2023 | EMNLP | NeuSTIP: A Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs. | Ishaan Singh, Navdeep Kaur, Garima Gaur, Mausam |
| 2023 | UAI | SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for Relational MDPs. | Vishal Sharma, Daman Arora, Mausam, Parag Singla |
| 2022 | ACL | DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction. | Abhyuday Bhartiya, Kartikeya Badola, Mausam |
| 2022 | ACL | Alignment-Augmented Consistent Translation for Multilingual Open Information Extraction. | Keshav Kolluru, Muqeeth Mohammed, Shubham Mittal, Soumen Chakrabarti, Mausam |
| 2022 | ACL | PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction. | Vipul Rathore, Kartikeya Badola, Parag Singla, Mausam |
| 2022 | EMNLP | Joint Completion and Alignment of Multilingual Knowledge Graphs. | Soumen Chakrabarti, Harkanwar Singh, Shubham Lohiya, Prachi Jain, Mausam |
| 2022 | EMNLP | "Covid vaccine is against Covid but Oxford vaccine is made at Oxford!" Semantic Interpretation of Proper Noun Compounds. | Keshav Kolluru, Gabriel Stanovsky, Mausam |
| 2022 | EMNLP | Structural Constraints and Natural Language Inference for End-to-End Flowchart Grounded Dialog Response Generation. | Dinesh Raghu, Suraj Joshi, Sachindra Joshi, Mausam |
| 2022 | ICLR | Neural Models for Output-Space Invariance in Combinatorial Problems. | Yatin Nandwani, Vidit Jain, Mausam, Parag Singla |
| 2022 | UAI | SymNet 2.0: Effectively handling Non-Fluents and Actions in Generalized Neural Policies for RDDL Relational MDPs. | Vishal Sharma, Daman Arora, Florian Geier, Mausam, Parag Singla |
| 2021 | ACL | Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs. | Dinesh Raghu, Atishya Jain, Mausam, Sachindra Joshi |
| 2021 | CIKM | Answering POI-recommendation Questions using Tourism Reviews. | Danish Contractor, Krunal Shah, Aditi Partap, Parag Singla, Mausam |
| 2021 | EMNLP | End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs. | Dinesh Raghu, Shantanu Agarwal, Sachindra Joshi, Mausam |
| 2021 | ICLR | Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces. | Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla |
| 2021 | IJCAI | TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators. | Shreshth Tuli, Rajas Bansal, Rohan Paul, Mausam |
| 2021 | WWW | Joint Spatio-Textual Reasoning for Answering Tourism Questions. | Danish Contractor, Shashank Goel, Mausam, Parag Singla |
| 2020 | ACL | IMoJIE: Iterative Memory-Based Joint Open Information Extraction. | Keshav Kolluru, Samarth Aggarwal, Vipul Rathore, Mausam, Soumen Chakrabarti |
| 2020 | EMNLP | A Simple Yet Strong Pipeline for HotpotQA. | Dirk Groeneveld, Tushar Khot, Mausam, Ashish Sabharwal |
| 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 | Why and when should you pool? Analyzing Pooling in Recurrent Architectures. | Pratyush Maini, Keshav Kolluru, Danish Pruthi, Mausam |
| 2020 | ICML | Symbolic Network: Generalized Neural Policies for Relational MDPs. | Sankalp Garg, Aniket Bajpai, Mausam |
| 2019 | EMNLP | CaRB: A Crowdsourced Benchmark for Open IE. | Sangnie Bhardwaj, Samarth Aggarwal, Mausam |
| 2019 | NAACL | Disentangling Language and Knowledge in Task-Oriented Dialogs. | Dinesh Raghu, Nikhil Gupta, Mausam |
| 2018 | ACL | Type-Sensitive Knowledge Base Inference Without Explicit Type Supervision. | Prachi Jain, Pankaj Kumar, Mausam, Soumen Chakrabarti |
| 2018 | COLING | Open Information Extraction from Conjunctive Sentences. | Swarnadeep Saha, Mausam |
| 2018 | HCOMP | Active Learning with Unbalanced Classes and Example-Generation Queries. | Christopher H. Lin, Mausam, Daniel S. Weld |
| 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 | IJCAI | Inferring Temporal Knowledge for Near-Periodic Recurrent Events. | Dinesh Raghu, Surag Nair, Mausam |
| 2018 | UAI | Block-Value Symmetries in Probabilistic Graphical Models. | Gagan Madan, Ankit Anand, Mausam, Parag Singla |
| 2018 | UIST | Sprout: Crowd-Powered Task Design for Crowdsourcing. | Jonathan Bragg, Mausam, Daniel S. Weld |
| 2017 | ACL | Bootstrapping for Numerical Open IE. | Swarnadeep Saha, Harinder Pal, Mausam |
| 2017 | AISTATS | Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models. | Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam |
| 2017 | HCOMP | Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing. | Karan Goel, Shreya Rajpal, Mausam |
| 2017 | IJCAI | Coarse-to-Fine Lifted MAP Inference in Computer Vision. | Haroun Habeeb, Ankit Anand, Mausam, Parag Singla |
| 2016 | AAAI | Re-Active Learning: Active Learning with Relabeling. | Christopher H. Lin, Mausam, Daniel S. Weld |
| 2016 | AAAI | Numerical Relation Extraction with Minimal Supervision. | Aman Madaan, Ashish R. Mittal, Mausam, Ganesh Ramakrishnan, Sunita Sarawagi |
| 2016 | IJCAI | Contextual Symmetries in Probabilistic Graphical Models. | Ankit Anand, Aditya Grover, Mausam, Parag Singla |
| 2016 | IJCAI | Open Information Extraction Systems and Downstream Applications. | Mausam |
| 2016 | NAACL | Entity-balanced Gaussian pLSA for Automated Comparison. | Danish Contractor, Parag Singla, Mausam |
| 2016 | NAACL | Knowledge-Guided Linguistic Rewrites for Inference Rule Verification. | Prachi Jain, Mausam |
| 2015 | ACL | Open IE as an Intermediate Structure for Semantic Tasks. | Gabriel Stanovsky, Ido Dagan, Mausam |
| 2015 | IJCAI | ASAP-UCT: Abstraction of State-Action Pairs in UCT. | Ankit Anand, Aditya Grover, Mausam, Parag Singla |
| 2014 | ACL | Hierarchical Summarization: Scaling Up Multi-Document Summarization. | Janara Christensen, Stephen Soderland, Gagan Bansal, Mausam |
| 2014 | HCOMP | Parallel Task Routing for Crowdsourcing. | Jonathan Bragg, Andrey Kolobov, Mausam, Daniel S. Weld |
| 2014 | HCOMP | To Re(label), or Not To Re(label). | Christopher H. Lin, Mausam, Daniel S. Weld |
| 2013 | EMNLP | Generating Coherent Event Schemas at Scale. | Niranjan Balasubramanian, Stephen Soderland, Mausam, Oren Etzioni |
| 2013 | HCOMP | Crowdsourcing Multi-Label Classification for Taxonomy Creation. | Jonathan Bragg, Mausam, Daniel S. Weld |
| 2013 | HCOMP | Joint Crowdsourcing of Multiple Tasks. | Andrey Kolobov, Mausam, Daniel S. Weld |
| 2013 | HCOMP | Towards a Language for Non-Expert Specification of POMDPs for Crowdsourcing. | Christopher H. Lin, Mausam, Daniel S. Weld |
| 2013 | NAACL | Towards Coherent Multi-Document Summarization. | Janara Christensen, Mausam, Stephen Soderland, Oren Etzioni |
| 2012 | AAAI | LRTDP Versus UCT for Online Probabilistic Planning. | Andrey Kolobov, Mausam, Daniel S. Weld |
| 2012 | AAAI | Dynamically Switching between Synergistic Workflows for Crowdsourcing. | Christopher H. Lin, Mausam, Daniel S. Weld |
| 2012 | EMNLP | No Noun Phrase Left Behind: Detecting and Typing Unlinkable Entities. | Thomas Lin, Mausam, Oren Etzioni |
| 2012 | EMNLP | Open Language Learning for Information Extraction. | Mausam, Michael Schmitz, Stephen Soderland, Robert Bart, Oren Etzioni |
| 2012 | HCOMP | Crowdsourcing Control: Moving Beyond Multiple Choice. | Christopher H. Lin, Mausam, Daniel S. Weld |
| 2012 | HCOMP | Dynamically Switching between Synergistic Workflows for Crowdsourcing. | Christopher H. Lin, Mausam, Daniel S. Weld |
| 2012 | HCOMP | Personalized Online Education - A Crowdsourcing Challenge. | Daniel S. Weld, Eytan Adar, Lydia B. Chilton, Raphael Hoffmann, Eric Horvitz, Mitchell Koch, James A. Landay, Christopher H. Lin, Mausam |
| 2012 | KDD | Open domain event extraction from twitter. | Alan Ritter, Mausam, Oren Etzioni, Sam Clark |
| 2012 | NAACL | Rel-grams: A Probabilistic Model of Relations in Text. | Niranjan Balasubramanian, Stephen Soderland, Mausam, Oren Etzioni |
| 2012 | NAACL | Entity Linking at Web Scale. | Thomas Lin, Mausam, Oren Etzioni |
| 2012 | UAI | A Theory of Goal-Oriented MDPs with Dead Ends. | Andrey Kolobov, Mausam, Daniel S. Weld |
| 2012 | UAI | Crowdsourcing Control: Moving Beyond Multiple Choice. | Christopher H. Lin, Mausam, Daniel S. Weld |
| 2011 | AAAI | Artificial Intelligence for Artificial Artificial Intelligence. | Peng Dai, Mausam, Daniel S. Weld |
| 2011 | AAAI | Human Intelligence Needs Artificial Intelligence. | Daniel S. Weld, Mausam, Peng Dai |
| 2011 | EMNLP | Named Entity Recognition in Tweets: An Experimental Study. | Alan Ritter, Sam Clark, Mausam, Oren Etzioni |
| 2011 | IJCAI | Open Information Extraction: The Second Generation. | Oren Etzioni, Anthony Fader, Janara Christensen, Stephen Soderland, Mausam |
| 2011 | IJCAI | Towards Scalable MDP Algorithms. | Andrey Kolobov, Mausam, Daniel S. Weld |
| 2011 | UIST | Execution control for crowdsourcing. | Daniel S. Weld, Mausam, Peng Dai |
| 2010 | AAAI | Decision-Theoretic Control of Crowd-Sourced Workflows. | Peng Dai, Mausam, Daniel S. Weld |
| 2010 | AAAI | SixthSense: Fast and Reliable Recognition of Dead Ends in MDPs. | Andrey Kolobov, Mausam, Daniel S. Weld |
| 2010 | AAAI | Panlingual Lexical Translation via Probabilistic Inference. | Mausam, Stephen Soderland, Oren Etzioni |
| 2010 | ACL | A Latent Dirichlet Allocation Method for Selectional Preferences. | Alan Ritter, Mausam, Oren Etzioni |
| 2010 | EMNLP | Identifying Functional Relations in Web Text. | Thomas Lin, Mausam, Oren Etzioni |
| 2009 | ACL | A Rose is a Roos is a Ruusu: Querying Translations for Web Image Search. | Janara Christensen, Mausam, Oren Etzioni |
| 2009 | ACL | Compiling a Massive, Multilingual Dictionary via Probabilistic Inference. | Mausam, Stephen Soderland, Oren Etzioni, Daniel S. Weld, Michael Skinner, Jeff A. Bilmes |
| 2009 | IJCAI | Domain-Independent, Automatic Partitioning for Probabilistic Planning. | Peng Dai, Mausam, Daniel S. Weld |
| 2009 | IJCAI | ReTrASE: Integrating Paradigms for Approximate Probabilistic Planning. | Andrey Kolobov, Mausam, Daniel S. Weld |
| 2008 | AAAI | Partitioned External-Memory Value Iteration. | Peng Dai, Mausam, Daniel S. Weld |
| 2007 | IJCAI | When is Temporal Planning Really Temporal? | William Cushing, Subbarao Kambhampati, Mausam, Daniel S. Weld |
| 2007 | IJCAI | A Hybridized Planner for Stochastic Domains. | Mausam, Piergiorgio Bertoli, Daniel S. Weld |
| 2006 | AAAI | Probabilistic Temporal Planning with Uncertain Durations. | Mausam, Daniel S. Weld |
| 2005 | IJCAI | Planning with Continuous Resources in Stochastic Domains. | Mausam, Emmanuel Benazera, Ronen I. Brafman, Nicolas Meuleau, Eric A. Hansen |
| 2004 | AAAI | Solving Concurrent Markov Decision Processes. | Mausam, Daniel S. Weld |
| 2004 | KDD | Adversarial classification. | Nilesh N. Dalvi, Pedro M. Domingos, Mausam, Sumit K. Sanghai, Deepak Verma |