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Tianyang Xu

Tianyang Xu has 3 papers in our library, in 2026, most of them on Language models & pretraining, Psycholinguistics & language acquisition, Interpretability; often with Ryan Cotterell, Alex Warstadt, Dan Zhang.

3 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 35 · 284 works · 5,563 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 11 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9678

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 15 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Can Language Models Learn Typologically Implausible Languages? (2026 · 10 citations)
    Languages around the world show strong word-order correlations. For example, verb–object languages usually have prepositions, and object–verb languages usually have postpositions. These patterns are often explained by human learning biases, but it is debated whether such biases are specific to language or arise from…
  2. Probing for Reading Times (2026 · 1 citation)
    The paper asks whether the hidden states of neural language models hold information about human reading behaviour beyond what the usual single-number predictor, surprisal, provides.
  3. Verification-Aware Planning for Multi-Agent Systems (2026 · 1 citation)
    Multi-agent LLM pipelines often break not because an agent reasons badly, but because of subtle mismatches: an agent misreads its subtask, returns output in the wrong format, or hands off something downstream agents did not expect.

All works

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

  1. Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetTianyang Xu et al.2019 · 222 citations
  2. Probing for Reading TimesAnnual Meeting of the Association for Computational Linguistics (ACL)Eleftheria Tsipidi, Samuel Kiegeland, Francesco Ignazio Re, et al.2026 · 1 citation

 Co-authors here

9 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 11 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

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