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Winnie Xu

Winnie Xu has 2 papers in our library, in 2022–2025, most of them on Language models & pretraining; often with Aitor Lewkowycz, Amanpreet Singh, Charles Sutton.

2 papers in our library · 2022–2025

OpenAlex · ORCID · h-index 8 · 31 works · 205 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 85 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7765

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏥Columbia University Irving Medical CenterNew York · United States2023–2024 · 4 paperscurrent🎓Columbia UniversityNew York · United States2024 · 1 papercurrent🏥Children's Hospital of Fudan UniversityShanghai · China2020 · 10 papers🎓Fudan UniversityShanghai · China2020 · 10 papers🎓University of TorontoToronto · Canada2021–2022 · 5 papers🎓University of PennsylvaniaPhiladelphia · United States2021–2023 · 4 papers🏢CohereSan Francisco · United States2021–2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20251 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Language Model Cascades (2022 · 89 citations)
    The paper addresses how to reason about the many ad hoc ways large language models are chained or repeatedly queried.
  2. Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment (2025 · 20 citations)
    The authors argue that preference-based alignment of LLMs is underspecified in two ways. First, the winning and losing responses in a preference pair often differ in many irrelevant aspects, which blurs what the model should learn. Second, standard contrastive objectives do not consider whether the target model is…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Language Model CascadesarXiv:2207.10342David Dohan, Winnie Xu, Aitor Lewkowycz, et al.2022 · 89 citations
  2. Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in AlignmentTransactions of the Association for Computational Linguistics (TACL)Karel D'Oosterlinck, Winnie Xu, Chris Develder, et al.2025 · 20 citations
  3. Deep Latent State Space Models for Time-Series Generation ↗arXiv (Cornell University) · no summary yetLinqi Zhou et al.2022 · 4 citations

 Co-authors here

12 of 16 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.

 Cited by

Papers of our library cite their works 85 times (of the 149,439 papers whose bibliographies we read); 33 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/winnie-xu/