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ORCIDYatin Nandwani
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2020 – today
- 2024
[j1]Kevin Leyton-Brown, Mausam, Yatin Nandwani
, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu:
Matching papers and reviewers at large conferences. Artif. Intell. 331: 104119 (2024)- [c7]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. ICML 2024 - [i9]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 abs/2402.02479 (2024) - [i8]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 abs/2403.04890 (2024) - [i7]Sonam Gupta, Yatin Nandwani, Asaf Yehudai, Mayank Mishra, Gaurav Pandey, Dinesh Raghu, Sachindra Joshi:
Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models. CoRR abs/2409.04787 (2024) - 2023
- [c6]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: 10335-10347 - [p1]Yatin Nandwani, Mausam, Parag Singla:
Neuro-Symbolic Architectures for Combinatorial Problems in Structured Output Spaces. Compendium of Neurosymbolic Artificial Intelligence 2023: 430-459 - [i6]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 abs/2305.12191 (2023) - 2022
- [c5]Yatin Nandwani, Vidit Jain, Mausam, Parag Singla:
Neural Models for Output-Space Invariance in Combinatorial Problems. ICLR 2022 - [c4]Yatin Nandwani, Rishabh Ranjan, Mausam, Parag Singla:
A Solver-free Framework for Scalable Learning in Neural ILP Architectures. NeurIPS 2022 - [i5]Yatin Nandwani, Vidit Jain, Mausam, Parag Singla:
Neural Models for Output-Space Invariance in Combinatorial Problems. CoRR abs/2202.03229 (2022) - [i4]Kevin Leyton-Brown, Mausam, Yatin Nandwani, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu:
Matching Papers and Reviewers at Large Conferences. CoRR abs/2202.12273 (2022) - [i3]Yatin Nandwani, Rishabh Ranjan, Mausam, Parag Singla:
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures. CoRR abs/2210.09082 (2022) - 2021
- [c3]Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla:
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces. ICLR 2021 - [i2]Keshav Kolluru, Mayank Singh Chauhan, Yatin Nandwani, Parag Singla, Mausam:
CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion. CoRR abs/2104.08741 (2021) - 2020
- [c2]Yatin Nandwani, Ankesh Gupta, Aman Agrawal, Mayank Singh Chauhan, Parag Singla, Mausam:
OxKBC: Outcome Explanation for Factorization Based Knowledge Base Completion. AKBC 2020 - [i1]Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla:
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces. CoRR abs/2008.11990 (2020)
2010 – 2019
- 2019
- [c1]Yatin Nandwani, Abhishek Pathak, Mausam, Parag Singla:
A Primal Dual Formulation For Deep Learning With Constraints. NeurIPS 2019: 12157-12168
Coauthor Index
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