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.
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
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksDevelopmental and Educational Psychology · 2 worksPsychology · 2 works
🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workInterpretability · 1 workPsycholinguistics & language acquisition · 1 work
💡 Concepts 1Key ideas and methods explained on our concept pages.Psycholinguistics · 1 work
Works by year
2020s
Papers
- 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… - 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. - 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
- 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
- Can Language Models Learn Typologically Implausible Languages?Transactions of the Association for Computational Linguistics (TACL)Tianyang Xu, Tatsuki Kuribayashi, Yohei Oseki, et al.2026 · 10 citations
- Probing for Reading TimesAnnual Meeting of the Association for Computational Linguistics (ACL)Eleftheria Tsipidi, Samuel Kiegeland, Francesco Ignazio Re, et al.2026 · 1 citation
- Verification-Aware Planning for Multi-Agent SystemsConference of the European Chapter of the Association for Computational Linguistics (EACL)Tianyang Xu, Dan Zhang, Kushan Mitra, et al.2026 · 1 citation
Co-authors here
- Ryan Cotterell ×2
- Alex Warstadt
- Dan Zhang
- Estevam Hruschka
- Karolina Stanczak
- Kushan Mitra
- Mario Giulianelli
- Tatsuki Kuribayashi
- Yohei Oseki
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
- Transactions of the Association for Computational Linguistics (TACL): Transactions of the Association for Computational Linguistics (TACL) 2026
- IEEE/CVF International Conference on Computer Vision (ICCV)
Cited by
Updated
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