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Yuqi Ren

Yuqi Ren has 5 papers in our library, in 2023–2026, most of them on Language models & pretraining, Evaluation & benchmarks, Bias, fairness & safety; often with Deyi Xiong, Renren Jin, Jianxiang Peng.

5 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 18 · 71 works · 1,063 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 36 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #7906

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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. M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models (2023 · 34 citations)
    Chinese large language models (LLMs) are improving quickly, but there has been no large Chinese benchmark that tests their knowledge the way the Chinese education system does.
  2. Do Large Language Models Mirror Cognitive Language Processing? (2025 · 11 citations)
    This paper asks whether the internal text representations of modern large language models resemble the way the human brain processes language, and which training choices strengthen or weaken that resemblance.
  3. Beyond Value Benchmarks: Measuring Value-Structure Alignment in Large Language Models via Symmetric Q-Sorts (2026 · 1 citation)
    Most moral evaluations of LLMs score answers one item at a time. They do not show how a model ranks competing values against each other as a whole system. This paper addresses that gap by adapting Q methodology so that humans and models complete the same task. The authors built a 140-item English Q-set based on…
  4. ExpertIVS: Sociological Expert Driven Individual Value Simulation in Large Language Models (2026)
    LLM agents used for social simulation often fail to reproduce how a specific person thinks about values. Typical approaches paste survey answers into prompts as isolated statements, which loses the links between value dimensions. Evaluation usually relies on re-administering multiple-choice questionnaires, which…
  5. Neuronal Insights into LLM Attacks: Targeted Neuron Tuning for Precise and Robust Vulnerability Patching (2026)
    Safety-aligned LLMs can still be jailbroken, and it is not well understood which internal components such attacks exploit.

All works

7 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

  1. M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language ModelsarXiv:2305.10263Chuang Liu, Renren Jin, Yuqi Ren, et al.2023 · 34 citations
  2. EvoSci: A Bio-Inspired Multi-Agent Framework for the Evolution of Scientific Discovery ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXiaoyu Xiong, Yuqi Ren, Deyi Xiong2026
  3. DVMap: Fine-Grained Pluralistic Value Alignment via High-Consensus Demographic-Value Mapping ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetPengyun Zhu et al.2026

 Co-authors here

12 of 14 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 36 times (of the 149,439 papers whose bibliographies we read); 15 citing papers with a page here →.

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