Yatin Nandwani

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Natural Language Generation

Top Venues

Publications

Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback. CoRR (2024)
Ojas Gramopadhye, Saeel Sandeep Nachane, Prateek Chanda, Ganesh Ramakrishnan, Kshitij Sharad Jadhav, Yatin Nandwani, Dinesh Raghu, Sachindra Joshi
Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answering. CoRR (2024)
Kevin Leyton-Brown, Mausam, Yatin Nandwani, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu
Matching papers and reviewers at large conferences. Artif. Intell. 331 (2024)
Yatin Nandwani, Vineet Kumar, Dinesh Raghu, Sachindra Joshi, Luis A. Lastras
Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs. EMNLP (2023)
Yatin Nandwani, Vineet Kumar, Dinesh Raghu, Sachindra Joshi, Luis A. Lastras
Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs. CoRR (2023)
Yatin Nandwani, Vidit Jain, Mausam, Parag Singla
Neural Models for Output-Space Invariance in Combinatorial Problems. ICLR (2022)
Yatin Nandwani, Rishabh Ranjan, Mausam, Parag Singla
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures. CoRR (2022)
Yatin Nandwani, Rishabh Ranjan, Mausam, Parag Singla
A Solver-free Framework for Scalable Learning in Neural ILP Architectures. NeurIPS (2022)
Kevin Leyton-Brown, Mausam, Yatin Nandwani, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu
Matching Papers and Reviewers at Large Conferences. CoRR (2022)
Yatin Nandwani, Vidit Jain, Mausam, Parag Singla
Neural Models for Output-Space Invariance in Combinatorial Problems. CoRR (2022)
Keshav Kolluru, Mayank Singh Chauhan, Yatin Nandwani, Parag Singla, Mausam
CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion. CoRR (2021)
Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces. ICLR (2021)
Yatin Nandwani, Ankesh Gupta, Aman Agrawal, Mayank Singh Chauhan, Parag Singla, Mausam
OxKBC: Outcome Explanation for Factorization Based Knowledge Base Completion. AKBC (2020)
Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces. CoRR (2020)
Yatin Nandwani, Abhishek Pathak, Mausam, Parag Singla
A Primal Dual Formulation For Deep Learning With Constraints. NeurIPS (2019)