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Wenda Xu
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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
1562023
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
78*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
392024
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
382020
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
342022
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
20*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
122022
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
102020
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
72022
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
72021
Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer
W Xu, M Saxon, M Sra, WY Wang
AAAI 2022, 2021
72021
& 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
52020
CausalDialogue: Modeling Utterance-level Causality in Conversations
YL Tuan, A Albalak, W Xu, M Saxon, C Pryor, L Getoor, WY Wang
ACL2022, 2022
42022
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
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