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Zhenran Xu

Zhenran Xu has 3 papers in our library, in 2023–2026, most of them on Reasoning; often with Baotian Hu, Min Zhang, Longyue Wang.

3 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 9 · 29 works · 328 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 26 times in our library · ⭐ Paper Stars ranking: #8466

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.

 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. Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration (2023 · 29 citations)
    LLMs often fail at multi-step reasoning, and earlier work suggests a single model rarely fixes its own mistakes without outside input.
  2. ComfyUI-R1: Exploring Reasoning Models for Workflow Generation (2026 · 1 citation)
    ComfyUI is a node-based platform for building image and video generation pipelines. Assembling a working workflow there takes real expertise, because the platform has thousands of community components with complex dependencies. Earlier automation attempts prompted proprietary LLMs or multi-agent setups to emit JSON…
  3. MSVBench: Towards Human-Level Evaluation of Multi-Shot Video Generation (2026)
    Video generators increasingly produce story-like videos made of many shots, but most evaluation benchmarks still judge single clips.

 Co-authors here

11 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 26 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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