| Automatically correcting large language models: Surveying the landscape of diverse self-correction strategies L Pan, M Saxon, W Xu, D Nathani, X Wang, WY Wang TACL2024, 2023 | 259* | 2023 |
| Instructscore: Towards explainable text generation evaluation with automatic feedback W Xu, D Wang, L Pan, Z Song, M Freitag, WY Wang, L Li EMNLP Main 2023 (Oral), 2023 | 91* | 2023 |
| Fake news detection with different models S Vijayaraghavan, Y Wang, Z Guo, J Voong, W Xu, A Nasseri, J Cai, L Li, ... arXiv preprint arXiv:2003.04978, 2020 | 43 | 2020 |
| Visualize Before You Write: Imagination-Guided Open-Ended Text Generation W Zhu, A Yan, Y Lu, W Xu, XE Wang, M Eckstein, WY Wang EACL2022, 2022 | 37 | 2022 |
| Neuro-Symbolic Procedural Planning with Commonsense Prompting Y Lu, W Feng, W Zhu, W Xu, XE Wang, M Eckstein, WY Wang ICLR2022, 2022 | 35* | 2022 |
| Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement W Xu, G Zhu, X Zhao, L Pan, L Li, WY Wang ACL Main 2024, 2024 | 32* | 2024 |
| LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback W Xu, D Deutsch, M Finkelstein, J Juraska, B Zhang, Z Liu, WY Wang, L Li, ... NAACL 2024, 2023 | 18* | 2023 |
| Not all errors are equal: Learning text generation metrics using stratified error synthesis W Xu, Y Tuan, Y Lu, M Saxon, L Li, WY Wang EMNLP2022, 2022 | 16 | 2022 |
| SESCORE2: Learning text generation evaluation via synthesizing realistic mistakes W Xu, X Qian, M Wang, L Li, WY Wang ACL Main 2023, 2023 | 15* | 2023 |
| Automated grey and white matter segmentation in digitized aβ human brain tissue slide images Z Lai, R Guo, W Xu, Z Hu, K Mifflin, BN Dugger, CN Chuah, S Cheung 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6, 2020 | 12* | 2020 |
| BrainSec: Automated brain tissue segmentation pipeline for scalable neuropathological analysis Z Lai, LC Oliveira, R Guo, W Xu, Z Hu, K Mifflin, C Decarli, SC Cheung, ... IEEE Access 10, 49064-49079, 2022 | 11 | 2022 |
| PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers M Saxon, X Wang, W Xu, WY Wang EACL2022, 2021 | 11 | 2021 |
| Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer W Xu, M Saxon, M Sra, WY Wang AAAI 2022, 2021 | 9 | 2021 |
| BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment W Xu, J Li, WY Wang, L Li EMNLP Main 2024, 2024 | 4* | 2024 |
| CausalDialogue: Modeling Utterance-level Causality in Conversations YL Tuan, A Albalak, W Xu, M Saxon, C Pryor, L Getoor, WY Wang ACL2022, 2022 | 4 | 2022 |
| Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling W Xu, R Han, Z Wang, LT Le, D Madeka, L Li, WY Wang, R Agarwal, ... ICLR 2025, 2024 | 3 | 2024 |
| CA*: Addressing Evaluation Pitfalls in Computation-Aware Latency for Simultaneous Speech Translation X Xu, W Xu, S Ouyang, L Li arXiv preprint arXiv:2410.16011, 2024 | | 2024 |
| Uncovering Factor Level Preferences to Improve Human-Model Alignment J Oh, E Kim, J Kim, W Xu, I Cha, WY Wang, A Oh arXiv preprint arXiv:2410.06965, 2024 | | 2024 |
| Translation Canvas: An Explainable Interface to Pinpoint and Analyze Translation Systems C Dandekar, W Xu, X Xu, S Ouyang, L Li arXiv preprint arXiv:2410.10861, 2024 | | 2024 |