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.

Fields, topics and concepts

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

📚 Shelves 5Arts and Humanities · 2 works Computer Science · 2 works Artificial Intelligence · 2 works Language and Linguistics · 2 works Computer Vision and Pattern Recognition · 1 work

🧭 Topics 2Reasoning · 2 works Language models & pretraining · 1 work

Works by year

2020s

20261 paper 20251 paper

Papers

The most cited first (OpenAlex and our library).

Implicit Reasoning in Large Language Models: A Comprehensive Survey (2025 · 10 citations)
Chain-of-Thought prompting makes LLMs write out every intermediate step, which inflates output length, latency and cost.
Self-Reflective Generation at Test Time (2026)
Autoregressive LLMs cannot revise a token once it is emitted, so one early mistake in a long chain-of-thought can derail the whole solution.

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.

Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026

Cited by

Papers of our library cite their works 9 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated 1 November 2026

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

🧑‍🔬 Yao Shu

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

🤝 Co-authors here

Venues

🔗 Cited by

Yao Shu

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by