| Editing Common Sense in Transformers A Gupta, D Mondal, A Sheshadri, W Zhao, X Li, S Wiegreffe, N Tandon Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 39* | 2023 |
| IGA: An Intent-Guided Authoring Assistant S Sun, W Zhao, V Manjunatha, R Jain, V Morariu, F Dernoncourt, ... Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 17 | 2021 |
| WorldValuesBench: A Large-Scale Benchmark Dataset for Multi-Cultural Value Awareness of Language Models W Zhao*, D Mondal*, N Tandon, D Dillion, K Gray, Y Gu 2024 Joint International Conference on Computational Linguistics, Language …, 2024 | 15 | 2024 |
| Quantifying long‐term phenological patterns of aerial insectivores roosting in the Great Lakes region using weather surveillance radar Y Deng, MCTD Belotti, W Zhao, Z Cheng, G Perez, E Tielens, VF Simons, ... Global Change Biology 29 (5), 1407-1419, 2023 | 10 | 2023 |
| Long‐term analysis of persistence and size of swallow and martin roosts in the US Great Lakes MCTD Belotti, Y Deng, W Zhao, VF Simons, Z Cheng, G Perez, E Tielens, ... Remote Sensing in Ecology and Conservation 9 (4), 469-482, 2023 | 8 | 2023 |
| Rethinking exposure bias in language modeling Y Xu, K Zhang, H Dong, Y Sun, W Zhao, Z Tu arXiv preprint arXiv:1910.11235, 2019 | 7 | 2019 |
| Using spatiotemporal information in weather radar data to detect and track communal roosts G Perez*, W Zhao*, Z Cheng, MCTD Belotti, Y Deng, VF Simons, ... Remote Sensing in Ecology and Conservation, 2024 | 6 | 2024 |
| Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis R Ghosh, R Seetharaman, H Wadhwa, S Aggarwal, S Basu, S Srinivasan, ... The 7th BlackboxNLP Workshop, 2024 | 6* | 2024 |
| ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution A Gupta, M Karpinska, W Zhao, K Krishna, J Merullo, L Yeh, M Iyyer, ... Findings of the Association for Computational Linguistics: EACL 2023, 2022 | 5 | 2022 |
| Compressing transformer-based semantic parsing models using compositional code embeddings P Prakash*, SK Shashidhar*, W Zhao*, S Rongali, H Khan, M Kayser Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 | 5 | 2020 |
| Machine Reading Comprehension using Case-based Reasoning D Thai, D Agarwal, M Chaudhary, W Zhao, R Das, M Zaheer, JY Lee, ... Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 | 4 | 2023 |
| Structured Energy Network As a Loss JY Lee, D Patel, P Goyal, W Zhao, Z Xu, A McCallum Advances in Neural Information Processing Systems, 2022 | 3 | 2022 |
| Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation J Zhao, W Zhao*, A Drozdov*, B Rozonoyer, A Sultan, J Lee, M Iyyer, ... The 62th Annual Meeting of the Association for Computational Linguistics …, 2024 | 2 | 2024 |
| Faithfulness Hallucination Detection in Healthcare AI PR Vishwanath*, S Tiwari*, TG Naik*, S Gupta*, DN Thai*, W Zhao*, ... KDD 2024 Workshop - Artificial Intelligence and Data Science for Healthcare …, 2024 | 2 | 2024 |
| Training Mice to Compete with Elephants: A Guide for Customizing Small-Sized LLMs on Knowledge and Skills Data A Pareja, NS Nayak, H Wang, K Killamsetty, S Sudalairaj, W Zhao, S Han, ... The Thirteenth International Conference on Learning Representations, 2025 | 1* | 2025 |
| Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval J Song, C Jin, W Zhao, A McCallum, JY Lee The 2024 Conference on Empirical Methods in Natural Language Processing …, 2024 | 1 | 2024 |
| Learning Representations for Hierarchies with Minimal Support B Rozonoyer, M Boratko, D Patel, W Zhao, SS Dasgupta, H Le, ... The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | | 2024 |
| A Semi-Automated System to Annotate Communal Roosts in Large-Scale Weather Radar Data W Zhao, G Perez, Z Cheng, MCTD Belotti, Y Deng, V Simons, EK Tielens, ... NeurIPS 2023 Computational Sustainability: Promises and Pitfalls from Theory …, 2023 | | 2023 |
| Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression Y Sun, W Zhao, L Zhang, X Liu, H Guan, M Zaharia arXiv preprint arXiv:2111.10320, 2021 | | 2021 |
| A Thorough Examination of the RACE Machine Reading Comprehension Task W Zhao | | 2019 |
