🧑‍🔬 Jiachen Zhu

🏛️ Affiliations

🎓Shanghai Jiao Tong UniversityShanghai · China2019–2026 · 10 paperscurrent

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

🧭 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. CuMA: Aligning LLMs with Sparse Cultural Values via Demographic-Aware Mixture of Adapters (2026 · 1 citation)
   Standard LLM alignment fits one shared set of weights to pooled human feedback. That works when a single correct answer exists, but it breaks down on culturally contested questions. The authors argue that the value distributions of different demographic groups form well-separated clusters, which they call Cultural…
2. A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and Usage (2026)
   Reasoning alignment for LLMs has mostly relied on outcome reward models (ORMs). These judge only the final answer, so an extended chain of thought receives just one coarse signal. This survey covers Process Reward Models (PRMs), which score individual steps or whole trajectories. It frames the field as a cycle…
3. A Survey of Large Language Model-Based Search Agents (2026)
   The paper reviews LLM-based search agents. These are systems in which a language model runs the whole information-seeking process itself: it interprets the user's goal, plans queries, retrieves over several rounds, reflects on what it found, and merges evidence into an answer. Commercial tools such as OpenAI's Deep…

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. CuMA: Aligning LLMs with Sparse Cultural Values via Demographic-Aware Mixture of AdaptersAnnual Meeting of the Association for Computational Linguistics (ACL)Ao Sun, Xiaoyu Wang, Zhe Tan, et al.2026 · 1 citation
2. A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and UsageAnnual Meeting of the Association for Computational Linguistics (ACL)Congmin Zheng, Jiachen Zhu, Zhuoying Ou, et al.2026
3. A Survey of Large Language Model-Based Search AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yunjia Xi, Jianghao Lin, Yongzhao Xiao, et al.2026
4. Position: Academic Conferences are Potentially Facing Denominator Gaming Caused by Fully Automated Scientific Agents ↗arXiv:2605.09915 · no summary yetRong Shan et al.2026

🤝 Co-authors here

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

• Jianghao Lin ×2
• Rong Shan ×2
• Weinan Zhang ×2
• Yong Yu ×2
• Ao Sun
• Kangning Zhang
• Mengyue Yang
• Te Gao
• Weiwen Liu
• Yu Li
• Yuheng Jia
• Yuxiang Chen

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) ×3: ACL 2026 ×3

🔗 Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read).

Updated 2 November 2026

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