From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 13 more institutions on single bylines are not listed.

Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5 Arts and Humanities · 3 works Computer Science · 3 works Artificial Intelligence · 3 works Language and Linguistics · 3 works Computer Vision and Pattern Recognition · 1 work

🧭 Topics 2 Language models & pretraining · 2 works Text generation · 1 work

Works by year

2020s

20242 papers 20231 paper

Papers

The most cited first (OpenAlex and our library).

Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies (2024 · 140 citations)
Large language models still make characteristic mistakes. They invent facts, reach conclusions that do not follow from their own reasoning, and sometimes produce toxic or biased text. Fixing these flaws with human feedback (e.g., RLHF) is expensive and cannot happen in real time. This TACL survey therefore focuses on…
INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback (2023 · 122 citations)
Learned metrics for generated text, such as COMET, BLEURT and BERTScore, track human judgement fairly well.
Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement (2024 · 86 citations)
Letting an LLM critique and revise its own output helps on some tasks but hurts on others. The authors attribute this inconsistency to self-bias: models rate their own generations more generously than an independent judge would. They formalise self-bias with two statistics. The first is the average gap between the…

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction StrategiesLiangming Pan, Michael Saxon, Wenda Xu, et al.Transactions of the Association for… · 140 citations
INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic FeedbackWenda Xu, Danqing Wang, Liangming Pan, et al.Conference on Empirical Methods in Natural… · 122 citations
Pride and Prejudice: LLM Amplifies Self-Bias in Self-RefinementWenda Xu, Guanglei Zhu, Xuandong Zhao, et al.Annual Meeting of the Association for… · 86 citations
Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer (original ↗)Wenda Xu et al.2021 · arXiv:2110.02950 · 11 citations · no summary yet
PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers (original ↗)Michael Saxon et al.2023 · Proceedings of the 17th Conference of the… · 9 citations · no summary yet

Co-authors here

8 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

Annual Meeting of the Association for Computational…: 2024
Conference on Empirical Methods in Natural Language…: 2023
Transactions of the Association for Computational…: 2024
Proceedings of the 17th Conference of the European Chapter…

Cited by

Papers of our library cite their works 205 times (of the 141,840 papers whose bibliographies we read); 21 citing papers with a page here →.

Updated 24 October 2026

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🧑‍🔬 Wenda Xu

🏛️ Affiliations

🧭 Concepts, shelves and topics

📅 Works by year

2020s

📄 Papers

All works

🤝 Co-authors here

Venues

🔗 Cited by

Wenda Xu

Affiliations

Concepts, shelves and topics

Works by year

Papers

Co-authors here

Cited by