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Yanbo Wang

Yanbo Wang has 5 papers in our library, in 2024–2026, most of them on Language models & pretraining, Summarization, Speech & spoken language; often with Chao Huang, Deyi Xiong, Dong Yan.

5 papers in our library · 2024–2026

OpenAlex · h-index 0 · 4 works · 0 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 144 times in our library · ⭐ Paper Stars ranking: #6144

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. Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge (2024 · 148 citations)
    LLMs are now routinely used to grade other models' outputs, both in benchmarks and as reward signals during training.
  2. Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models (2026 · 3 citations)
    Large Audio-Language Models (LAMs) can be pushed into producing harmful content, yet their safety has rarely been measured systematically.
  3. What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time (2026 · 2 citations)
    Test-Time Reinforcement Learning (TTRL) lets LLMs improve their reasoning on unlabeled test questions by using the majority-voted answer among sampled rollouts as a pseudo-reward.
  4. APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and Interpretation (2026)
    App privacy policies are long and full of legal and technical jargon, so users often accept terms they do not understand.
  5. Breaking the Impasse: Dual-Scale Evolutionary Policy Training for Social Language Agents (2026)
    The paper looks at what goes wrong when self-play reinforcement learning with verifiable rewards (RLVR) moves from closed tasks like math or code to open-ended social language games.

 Co-authors here

12 of 22 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 144 times (of the 149,439 papers whose bibliographies we read); 39 citing papers with a page here →.

Updated

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