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Mudit Chaudhary
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2020 – today
- 2023
- [c1]Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Jay-Yoon Lee, Hannaneh Hajishirzi, Manzil Zaheer, Andrew McCallum:
Machine Reading Comprehension using Case-based Reasoning. EMNLP (Findings) 2023: 8414-8428 - [i6]Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Rajarshi Das, Manzil Zaheer, Jay-Yoon Lee, Hannaneh Hajishirzi, Andrew McCallum:
Machine Reading Comprehension using Case-based Reasoning. CoRR abs/2305.14815 (2023) - 2022
- [i5]Dung Thai, Srinivas Ravishankar, Ibrahim Abdelaziz, Mudit Chaudhary, Nandana Mihindukulasooriya, Tahira Naseem, Rajarshi Das, Pavan Kapanipathi, Achille Fokoue, Andrew McCallum:
CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases. CoRR abs/2204.08554 (2022) - [i4]Chandni Saxena, Mudit Chaudhary, Helen Meng:
Cross-lingual Word Embeddings in Hyperbolic Space. CoRR abs/2205.01907 (2022) - [i3]Siddhant Garg, Mudit Chaudhary:
SeRP: Self-Supervised Representation Learning Using Perturbed Point Clouds. CoRR abs/2209.06067 (2022) - 2021
- [i2]Mudit Chaudhary, Borislav Dzodzo, Sida Huang, Chun Hei Lo, Mingzhi Lyu, Lun Yiu Nie, Jinbo Xing, Tianhua Zhang, Xiaoying Zhang, Jingyan Zhou, Hong Cheng, Wai Lam, Helen Meng:
Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response Generation. CoRR abs/2101.06066 (2021) - [i1]Mudit Chaudhary, Chandni Saxena, Helen Meng:
Countering Online Hate Speech: An NLP Perspective. CoRR abs/2109.02941 (2021)
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