Yatin Nandwani

24 papers A* 6Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Library of LLM Intrinsics for Retrieval-Augmented Generation. CoRR Marina Danilevsky, Kristjan H. Greenewald, R. Chulaka Gunasekara, Maeda F. Hanafi, Lihong He, Yannis Katsis, Krishnateja Killamsetty, Yatin Nandwani, Lucian Popa, Dinesh Raghu, Frederick Reiss, Vraj Shah, Khoi-Nguyen Tran, Huaiyu Zhu, Luis A. Lastras
2025	—	`conf`	Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models. NAACL (Findings) Sonam Gupta, Yatin Nandwani, Asaf Yehudai, Dinesh Khandelwal, Dinesh Raghu, Sachindra Joshi
2025	J	`jnl`	Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models. CoRR Sonam Gupta, Yatin Nandwani, Asaf Yehudai, Dinesh Khandelwal, Dinesh Raghu, Sachindra Joshi
2025	—	`conf`	Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG. NAACL (Findings) Kushagra Bhushan, Yatin Nandwani, Dinesh Khandelwal, Sonam Gupta, Gaurav Pandey, Dinesh Raghu, Sachindra Joshi
2025	J	`jnl`	Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG. CoRR Kushagra Bhushan, Yatin Nandwani, Dinesh Khandelwal, Sonam Gupta, Gaurav Pandey, Dinesh Raghu, Sachindra Joshi
2024	A*	`conf`	BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback. ICML Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo
2024	J	`jnl`	BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback. CoRR Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo
2024	J	`jnl`	Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answering. CoRR Ojas Gramopadhye, Saeel Sandeep Nachane, Prateek Chanda, Ganesh Ramakrishnan, Kshitij Sharad Jadhav, Yatin Nandwani, Dinesh Raghu, Sachindra Joshi
2024	—	`conf`	Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering. EMNLP (Findings) Saeel Sandeep Nachane, Ojas Gramopadhye, Prateek Chanda, Ganesh Ramakrishnan, Kshitij Sharad Jadhav, Yatin Nandwani, Dinesh Raghu, Sachindra Joshi
2024	J	`jnl`	Matching papers and reviewers at large conferences. Artif. Intell. Kevin Leyton-Brown, Mausam, Yatin Nandwani, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu
2024	J	`jnl`	Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models. CoRR Sonam Gupta, Yatin Nandwani, Asaf Yehudai, Mayank Mishra, Gaurav Pandey, Dinesh Raghu, Sachindra Joshi
2023	—	`ch.`	Neuro-Symbolic Architectures for Combinatorial Problems in Structured Output Spaces. Compendium of Neurosymbolic Artificial Intelligence Yatin Nandwani, Mausam, Parag Singla
2023	A*	`conf`	Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs. EMNLP Yatin Nandwani, Vineet Kumar, Dinesh Raghu, Sachindra Joshi, Luis A. Lastras
2023	J	`jnl`	Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs. CoRR Yatin Nandwani, Vineet Kumar, Dinesh Raghu, Sachindra Joshi, Luis A. Lastras
2022	J	`jnl`	A Solver-Free Framework for Scalable Learning in Neural ILP Architectures. CoRR Yatin Nandwani, Rishabh Ranjan, Mausam, Parag Singla
2022	A*	`conf`	A Solver-free Framework for Scalable Learning in Neural ILP Architectures. NeurIPS Yatin Nandwani, Rishabh Ranjan, Mausam, Parag Singla
2022	J	`jnl`	Matching Papers and Reviewers at Large Conferences. CoRR Kevin Leyton-Brown, Mausam, Yatin Nandwani, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu
2022	A*	`conf`	Neural Models for Output-Space Invariance in Combinatorial Problems. ICLR Yatin Nandwani, Vidit Jain, Mausam, Parag Singla
2022	J	`jnl`	Neural Models for Output-Space Invariance in Combinatorial Problems. CoRR Yatin Nandwani, Vidit Jain, Mausam, Parag Singla
2021	J	`jnl`	CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion. CoRR Keshav Kolluru, Mayank Singh Chauhan, Yatin Nandwani, Parag Singla, Mausam
2021	A*	`conf`	Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces. ICLR Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla
2020	J	`jnl`	Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces. CoRR Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla
2020	—	`conf`	OxKBC: Outcome Explanation for Factorization Based Knowledge Base Completion. AKBC Yatin Nandwani, Ankesh Gupta, Aman Agrawal, Mayank Singh Chauhan, Parag Singla, Mausam
2019	A*	`conf`	A Primal Dual Formulation For Deep Learning With Constraints. NeurIPS Yatin Nandwani, Abhishek Pathak, Mausam, Parag Singla