🧑‍🔬 Honglin Guo

🏛️ Affiliations

🏥Shandong Provincial HospitalJinan · China2021–2026 · 11 paperscurrent🎓University of Science and Technology LiaoningAnshan · China2024–2026 · 10 paperscurrent🎓Shandong First Medical UniversityJinan · China2021–2026 · 8 paperscurrent🎓Tianjin UniversityTianjin · China2026 · 1 papercurrent🎓Shandong UniversityJinan · China2022–2024 · 7 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 10 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding (2026 · 4 citations)
   Coding scaffolds such as Claude Code, Kilo and Droid turn LLMs into repository-level agents. Existing evaluations are either single-turn instruction-following tests or outcome-based agent benchmarks that check whether tests pass. Neither shows whether an agent respects rules that come from many sources and must be…
2. ABC-Bench: Benchmarking Agentic Backend Coding in Real-World Development (2026)
   Most coding benchmarks for LLM agents check isolated code edits in sandboxes that are already set up, and they validate those edits with unit tests.
3. AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments (2026)
   Most agent benchmarks test LLM agents under idealized conditions: tools are handed over ready-made, intermediate steps are skipped, and inputs are tidy and complete.

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. Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning ↗arXiv:2402.05808 · no summary yetZhiheng Xi et al.2024 · 36 citations
2. OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic CodingAnnual Meeting of the Association for Computational Linguistics (ACL)Deming Ding, Shichun Liu, Enhui Yang, et al.2026 · 4 citations
3. ABC-Bench: Benchmarking Agentic Backend Coding in Real-World DevelopmentFindings of the Association for Computational LinguisticsJie Yang, Honglin Guo, Li Ji, et al.2026
4. AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World EnvironmentsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiheng Xi, Dingwen Yang, Jiaqi Liu, et al.2026

🤝 Co-authors here

12 of 14 co-authors with a page, the most papers together first.

• Qi Zhang ×2
• Shichun Liu ×2
• Zhiheng Xi ×2
• Bo Wang
• Chengjun Xiao
• Jiaqi Liu
• Jiazheng Zhang
• Jie Yang
• Rui Zheng
• Shihan Dou
• Shuo Zhang
• Yining Zheng

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) ×2: ACL 2026 ×2
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026

🔗 Cited by

Papers of our library cite their works 38 times (of the 149,439 papers whose bibliographies we read); 13 citing papers with a page here →.

Updated 2 November 2026

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