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Teng Xiao

Teng Xiao has 2 papers in our library, in 2026, most of them on Language models & pretraining, Reasoning; often with Bingbing Xu, Bolin Ding, Jinyang Gao.

2 papers in our library · 2026

OpenAlex · h-index 2 · 15 works · 20 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #11701

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

🔬Allen Institute for Artificial IntelligenceSeattle · United States2025–2026 · 6 paperscurrent🎓University of WashingtonSeattle · United States2026 · 2 paperscurrent🎓Wuhan UniversityWuhan · China2026 · 2 paperscurrent🎓Hubei University of TechnologyWuhan · China2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Reasoning · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Incentivizing Strong Reasoning from Weak Supervision (2026 · 1 citation)
    Improving LLM reasoning usually requires either reinforcement learning with verifiable rewards, which is compute-intensive, or SFT on long chain-of-thought (CoT) data from very strong teachers, which is costly to obtain.
  2. From AR to Diffusion: Efficiently Adapting Large Language Models with Strictly Causal and Elastic Horizons (2026)
    Diffusion language models can produce several tokens at once. However, they usually depend on bidirectional attention, which conflicts with how pre-trained autoregressive (AR) models such as GPT-style LLMs are built. Because of this, they are often trained from scratch at great cost. Existing block diffusion methods…

 Co-authors here

7 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 1 time (of the 149,439 papers whose bibliographies we read).

Updated

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