🧑‍🔬 Yitian Chen

🏛️ Affiliations

🎓Shanghai UniversityShanghai · China2026 · 3 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. HearSay Benchmark: Do Audio LLMs Leak What They Hear? (2026)
   Audio Large Language Models (ALLMs) are trained on huge amounts of speech. The authors ask whether this training lets them work out private facts about a speaker from the voice alone, with no help from what is actually said. To test this, they built HearSay, a benchmark of more than 22,000 real recordings. Most clips…
2. RSA-Bench: Benchmarking Audio Large Models in Real-World Acoustic Scenarios (2026)
   Audio Large Models (ALLMs) score well on clean benchmarks, but their behavior in realistic noisy settings has rarely been measured.

🤝 Co-authors here

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

• Jin Wang ×2
• Kaiwen Luo ×2
• Kun Wang ×2
• Li Sun ×2
• Liang Lin ×2
• Zhenhong Zhou ×2
• Qingsong Wen
• Shilinlu Yan
• Xuehai Tang
• Yibo Zhang

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2

Updated 2 November 2026

This page in Markdown → https://md.research.elamur.ai/free/en/authors/yitian-chen/