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Jianshu Zhang

Jianshu Zhang has 5 papers in our library, in 2024–2026, most of them on Reasoning, Language models & pretraining, Bias, fairness & safety; often with Renjie Pi, Boyang Xue, Dong Yu.

5 papers in our library · 2024–2026

OpenAlex · h-index 1 · 4 works · 4 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 54 times in our library · ⭐ Paper Stars ranking: #6980

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

🏢IFlyTekHefei · China2026 · 2 paperscurrent🎓Northwestern UniversityEvanston · United States2026 · 1 papercurrent

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.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 5 worksArtificial Intelligence · 5 worksArts and Humanities · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 3 worksInformation Systems · 1 work

🧭 Topics 4Research subjects and languages the work is about.Bias, fairness & safety · 1 workReasoning · 3 worksLanguage models & pretraining · 1 workVision & language · 1 work

 Works by year

2020s

20263 papers20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance (2024 · 58 citations)
    Multimodal large language models such as LLaVA can be steered into harmful output by malicious images, even when the same request in plain text would be refused.
  2. VLM2-Bench: A Closer Look at How Well VLMs Implicitly Link Explicit Matching Visual Cues (2025 · 12 citations)
    The paper asks whether vision-language models can do something people do routinely: recognise that the same object or person appears in several images or video frames by comparing visual traits, without knowing who or what it is.
  3. Step Potential Advantage Estimation: Harnessing Intermediate Confidence and Correctness for Efficient Mathematical Reasoning (2026 · 11 citations)
    Reinforcement learning with verifiable rewards (RLVR) trains long chain-of-thought models using only a final correct/incorrect signal.
  4. ProgressLM: Towards Progress Reasoning in Vision-Language Models (2026 · 7 citations)
    The paper asks whether vision-language models can judge how far a task has advanced when they see only one intermediate frame plus a demonstration of the full task.
  5. WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation Models (2026 · 1 citation)
    Deep Research agents need more than retrieval. They must combine scattered, heterogeneous evidence through multi-step reasoning. Existing training and evaluation resources mostly reward locating a single entity, so agents learn to call tools often instead of reasoning carefully.

 Co-authors here

12 of 21 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 54 times (of the 149,439 papers whose bibliographies we read); 15 citing papers with a page here →.

Updated

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