Automatic Extraction of Domain Specific Latent Beliefs in Customer Complaints to Help Tailor Chatbots. - Amit Sangroya; C. Anantaram; Pratik Saini; Mrinal Rawat (AAAI Workshops, 2018)

Repairing ASR output by Artificial Development and Ontology based Learning. - C. Anantaram; Amit Sangroya; Mrinal Rawat; Aishwarya Chhabra (IJCAI, 2018)

Extracting Latent Beliefs and using Epistemic Reasoning to Tailor a Chatbot. - Amit Sangroya; C. Anantaram; Pratik Saini; Mrinal Rawat (IJCAI, 2018)

Visual Predictive Analytics using iFuseML. - Gunjan Sehgal; Mrinal Rawat; Bindu Gupta; Garima Gupta; Geetika Sharma; Gautam Shroff (EuroVA@EuroVis, 2018)

Enabling Natural Language Analytics over Relational Data Using Formal Concept Analysis. - C. Anantaram; Mouli Rastogi; Mrinal Rawat; Pratik Saini (FCA4AI@IJCAI, 2019)

Using Formal Concept Analysis to Explain Black Box Deep Learning Classification Models. - Amit Sangroya; C. Anantaram; Mrinal Rawat; Mouli Rastogi (FCA4AI@IJCAI, 2019)

Natural Language Business Intelligence Question Answering Through SeqtoSeq Transfer Learning. - Amit Sangroya; Pratik Saini; Mrinal Rawat; Gautam Shroff; C. Anantaram (PAKDD (Workshops), 2019)

Information Extraction from Document Images via FCA based Template Detection and Knowledge Graph Rule Induction. - Mouli Rastogi; Syed Afshan Ali; Mrinal Rawat; Lovekesh Vig; Puneet Agarwal; Gautam Shroff; Ashwin Srinivasan 001 (CVPR Workshops, 2020)

Automated Evidence Collection for Fake News Detection. - Mrinal Rawat; Diptesh Kanojia (ICON, 2021)

ROC Bot: Towards Designing Virtual Command Centre for Energy Management. - Rishi Tiwari; Mohammed Afaque; Amit Sangroya; Mrinal Rawat (PAKDD (Workshops), 2021)

PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation. - Mrinal Rawat; Ramya Hebbalaguppe; Lovekesh Vig (CoRR, 2021)

Real-time Caller Intent Detection In Human-Human Customer Support Spoken Conversations. - Mrinal Rawat; Victor Barrès (CoRR, 2022)

Controllable Discovery of Intents: Incremental Deep Clustering Using Semi-Supervised Contrastive Learning. - Mrinal Rawat; Hithesh Sankararaman; Victor Barrès (IJCNLP (1), 2023)

REFINE on Scarce Data: Retrieval Enhancement Through Fine-Tuning via Model Fusion of Embedding Models. - Ambuje Gupta; Mrinal Rawat; Andreas Stolcke; Roberto Pieraccini (AI (1), 2024)

Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents. - Mrinal Rawat; Ambuje Gupta; Rushil Goomer; Alessandro Di Bari; Neha Gupta; Roberto Pieraccini (CoRR, 2025)