Yatin Nandwani

According to our database, Yatin Nandwani authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models.

Sonam Gupta, Yatin Nandwani, Asaf Yehudai, Mayank Mishra, Gaurav Pandey, Dinesh Raghu, Sachindra Joshi

CoRR, 2024

Matching papers and reviewers at large conferences.

Kevin Leyton-Brown, Mausam, Yatin Nandwani, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu

Artif. Intell., 2024

BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback.

Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering.

Saeel Sandeep Nachane, Ojas Gramopadhye, Prateek Chanda, Ganesh Ramakrishnan, Kshitij Sharad Jadhav, Yatin Nandwani, Dinesh Raghu, Sachindra Joshi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Neuro-Symbolic Architectures for Combinatorial Problems in Structured Output Spaces.

Yatin Nandwani, Mausam, Parag Singla

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs.

Yatin Nandwani, Vineet Kumar, Dinesh Raghu, Sachindra Joshi, Luis A. Lastras

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

A Solver-free Framework for Scalable Learning in Neural ILP Architectures.

Yatin Nandwani, Rishabh Ranjan, Mausam, Parag Singla

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Models for Output-Space Invariance in Combinatorial Problems.

Yatin Nandwani, Vidit Jain, Mausam, Parag Singla

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion.

Keshav Kolluru, Mayank Singh Chauhan, Yatin Nandwani, Parag Singla, Mausam

CoRR, 2021

Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces.

Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

OxKBC: Outcome Explanation for Factorization Based Knowledge Base Completion.

Yatin Nandwani, Ankesh Gupta, Aman Agrawal, Mayank Singh Chauhan, Parag Singla, Mausam

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

2019

A Primal Dual Formulation For Deep Learning With Constraints.

Yatin Nandwani, Abhishek Pathak, Mausam, Parag Singla

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019