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 | 158 | 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 | 79* | 2023 |
Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies L Pan, M Saxon, W Xu, D Nathani, X Wang, WY Wang Transactions of the Association for Computational Linguistics 12, 484-506, 2024 | 40 | 2024 |
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 | 38 | 2020 |
Neuro-Symbolic Procedural Planning with Commonsense Prompting Y Lu, W Feng, W Zhu, W Xu, XE Wang, M Eckstein, WY Wang ICLR2022, 2022 | 36* | 2022 |
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 | 34 | 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 | 21* | 2024 |
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 |
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 | 12 | 2022 |
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 | 11* | 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 | 10 | 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 | 7 | 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 | 7 | 2021 |
Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer W Xu, M Saxon, M Sra, WY Wang AAAI 2022, 2021 | 7 | 2021 |
& Wadhwa, E.(2018). Fake News Detection with Different Models S Vijayaraghavan, Y Wang, Z Guo, J Voong, W Xu, A Nasseri arXiv preprint arXiv:2003.04978, 0 | 7 | |
Automated Segmentation of Amyloid-β Stained Whole Slide Images of Brain Tissue Z Lai, R Guo, W Xu, Z Hu, K Mifflin, C DeCarli, BN Dugger, S Cheung, ... bioRxiv, 2020.11. 13.381871, 2020 | 5 | 2020 |
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 |
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 |
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, ... arXiv preprint arXiv:2410.11325, 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 |