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Zhaochen Su

Zhaochen Su has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Reasoning; often with Juntao Li, Min Zhang, Ao Zhou.

3 papers in our library · 2024–2026

OpenAlex · h-index 4 · 15 works · 50 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 139 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8385

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

🎓Soochow UniversitySuzhou · China2022–2025 · 9 paperscurrent🎓China Academy of Chinese Medical SciencesBeijing · China2025 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 works

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

 Works by year

2020s

20261 paper20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Timo: Towards Better Temporal Reasoning for Language Models (2024 · 19 citations)
    Language models still reason poorly about time. Earlier fixes targeted narrow settings such as time-sensitive question answering, so they carry over badly to other temporal problems. This work looks for one framework that covers many kinds of temporal reasoning. The authors examine 38 subtasks from the Wang & Zhao…
  2. The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution (2025 · 13 citations)
    Most benchmarks for tool-using language agents test narrow domains, short interactions, or artificial environments, so they reveal little about how agents handle real multi-application work.
  3. Data Foundations of Long-Context Language Models: A Survey (2026)
    Most earlier surveys of long-context language models (LCMs, here meaning models with windows above 128K tokens) focus on architecture and efficient training, so the role of data has been largely overlooked.

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. PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetMingyang Song et al.2025 · 63 citations
  2. Timo: Towards Better Temporal Reasoning for Language ModelsarXiv:2406.14192Zhaochen Su, Jun Zhang, Tong Zhu, et al.2024 · 19 citations
  3. The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task ExecutionarXiv:2510.25726Junlong Li, Wenshuo Zhao, Jian Zhao, et al.2025 · 13 citations
  4. Data Foundations of Long-Context Language Models: A SurveyTransactions of the Association for Computational Linguistics (TACL)Zechen Sun, Yuyang Sun, Zhaochen Su, et al.2026

 Co-authors here

12 of 18 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 139 times (of the 149,439 papers whose bibliographies we read); 48 citing papers with a page here →.

Updated

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