Reinforcement Learning Based Conversational Search Assistant. - Milan Aggarwal; Aarushi Arora; Shagun Sodhani; Balaji Krishnamurthy (CoRR, 2017)

Improving Search Through A3C Reinforcement Learning Based Conversational Agent. - Milan Aggarwal; Aarushi Arora; Shagun Sodhani; Balaji Krishnamurthy (ICCS (2), 2018)

ReDecode Framework for Iterative Improvement in Paraphrase Generation. - Milan Aggarwal; Nupur Kumari; Ayush Bansal; Balaji Krishnamurthy (CoRR, 2018)

Document Structure Extraction for Forms using Very High Resolution Semantic Segmentation. - Mausoom Sarkar; Milan Aggarwal; Arneh Jain; Hiresh Gupta; Balaji Krishnamurthy (CoRR, 2019)

Document Structure Extraction Using Prior Based High Resolution Hierarchical Semantic Segmentation. - Mausoom Sarkar; Milan Aggarwal; Arneh Jain; Hiresh Gupta; Balaji Krishnamurthy (ECCV (28), 2020)

Form2Seq : A Framework for Higher-Order Form Structure Extraction. - Milan Aggarwal; Hiresh Gupta; Mausoom Sarkar; Balaji Krishnamurthy (EMNLP (1), 2020)

Multi-Modal Association based Grouping for Form Structure Extraction. - Milan Aggarwal; Mausoom Sarkar; Hiresh Gupta; Balaji Krishnamurthy (WACV, 2020)

Exploring Neural Models for Parsing Natural Language into First-Order Logic. - Hrituraj Singh; Milan Aggarwal; Balaji Krishnamurthy (CoRR, 2020)

Unsupervised Hierarchical Concept Learning. - Sumegh Roychowdhury; Sumedh A. Sontakke; Nikaash Puri; Mausoom Sarkar; Milan Aggarwal; Pinkesh Badjatiya; Balaji Krishnamurthy; Laurent Itti (CoRR, 2020)

TAN-NTM: Topic Attention Networks for Neural Topic Modeling. - Madhur Panwar; Shashank Shailabh; Milan Aggarwal; Balaji Krishnamurthy (ACL/IJCNLP (1), 2021)

SHERLock: Self-Supervised Hierarchical Event Representation Learning. - S. Roychowdhury; Sumedh A. Sontakke; Laurent Itti; M. Sarkar; Milan Aggarwal; Pinkesh Badjatiya; Nikaash Puri; Balaji Krishnamurthy (ICPR, 2022)

CoSe-Co: Text Conditioned Generative CommonSense Contextualizer. - Rachit Bansal; Milan Aggarwal; Sumit Bhatia; Jivat Neet Kaur; Balaji Krishnamurthy (NAACL-HLT, 2022)

LM-CORE: Language Models with Contextually Relevant External Knowledge. - Jivat Neet Kaur; Sumit Bhatia; Milan Aggarwal; Rachit Bansal; Balaji Krishnamurthy (NAACL-HLT (Findings), 2022)

INDIGO: Intrinsic Multimodality for Domain Generalization. - Puneet Mangla; Shivam Chandhok; Milan Aggarwal; Vineeth N. Balasubramanian; Balaji Krishnamurthy (CoRR, 2022)

Persuasion Strategies in Advertisements: Dataset, Modeling, and Baselines. - Yaman Kumar Singla; Rajat Jha; Arunim Gupta; Milan Aggarwal; Aditya Garg; Ayush Bhardwaj; Tushar Malyan; Balaji Krishnamurthy; Rajiv Ratn Shah; Changyou Chen (CoRR, 2022)

Persuasion Strategies in Advertisements. - Yaman Kumar 001; Rajat Jha; Arunim Gupta; Milan Aggarwal; Aditya Garg; Tushar Malyan; Ayush Bhardwaj; Rajiv Ratn Shah; Balaji Krishnamurthy; Changyou Chen (AAAI, 2023)

INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models. - H. S. V. N. S. Kowndinya Renduchintala; Krishnateja Killamsetty; Sumit Bhatia; Milan Aggarwal; Ganesh Ramakrishnan; Rishabh K. Iyer; Balaji Krishnamurthy (EMNLP (Findings), 2023)

Computable Contracts by Extracting Obligation Logic Graphs. - Sergio Servantez; Nedim Lipka; Alexa F. Siu; Milan Aggarwal; Balaji Krishnamurthy; Aparna Garimella; Kristian J. Hammond; Rajiv Jain (ICAIL, 2023)

One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text. - Abhinav Java; Shripad V. Deshmukh; Milan Aggarwal; Surgan Jandial; Mausoom Sarkar; Balaji Krishnamurthy (WACV, 2023)

INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Large Language Models. - H. S. V. N. S. Kowndinya Renduchintala; Krishnateja Killamsetty; Sumit Bhatia; Milan Aggarwal; Ganesh Ramakrishnan; Rishabh K. Iyer; Balaji Krishnamurthy (CoRR, 2023)

Dialogue Agents 101: A Beginner's Guide to Critical Ingredients for Designing Effective Conversational Systems. - Shivani Kumar; Sumit Bhatia; Milan Aggarwal; Tanmoy Chakraborty 002 (CoRR, 2023)

CABINET: Content Relevance-based Noise Reduction for Table Question Answering. - Sohan Patnaik; Heril Changwal; Milan Aggarwal; Sumit Bhatia; Yaman Kumar 001; Balaji Krishnamurthy (ICLR, 2024)

Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning. - Sohan Patnaik; Milan Aggarwal; Sumit Bhatia; Balaji Krishnamurthy (ACL (1), 2025)

It Helps to Take a Second Opinion: Teaching Smaller LLMs To Deliberate Mutually via Selective Rationale Optimisation. - Sohan Patnaik; Milan Aggarwal; Sumit Bhatia; Balaji Krishnamurthy (ICLR, 2025)