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Jierui Li

Jierui Li has 3 papers in our library, in 2022–2026, most of them on Information extraction, Reasoning, Code & programming languages; often with Caiming Xiong, Hung Le, Silvio Savarese.

3 papers in our library · 2022–2026

OpenAlex · h-index 3 · 12 works · 87 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 52 times in our library · ⭐ Paper Stars ranking: #6511

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

🎓The University of Texas at AustinAustin · United States2022–2025 · 10 paperscurrent

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 9The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputational Theory and Mathematics · 1 workMathematics · 1 workComputer Science Applications · 1 workInformation Systems · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Information extraction · 1 workReasoning · 1 workCode & programming languages · 1 work

 Works by year

2020s

20261 paper20251 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction (2022 · 102 citations)
    The paper treats solving a math word problem as multi-step relation extraction between quantities, instead of generating an expression tree top-down as seq2tree and graph2tree models do.
  2. CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models (2025 · 21 citations)
    Hard programming tasks have a huge space of possible solutions. Older methods either sample many independent candidates or repeatedly refine one early attempt, which can trap them in a local optimum. CodeTree addresses this by organizing code generation as a tree search run by cooperating LLM agents. A Thinker agent…
  3. GroupToM-Bench: Benchmarking Group Theory of Mind and Nonlinear Social Emergence in MLLMs (2026)
    Multimodal LLMs have become better at inferring what a single agent believes or wants. Real social settings demand more: forecasting how private beliefs and goals interact under hierarchy, conformity and information asymmetry, often producing group results nobody intended, such as groupthink or the Abilene Paradox.…

 Co-authors here

8 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 52 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated

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