Yuhang Jia
Yuhang Jia has 2 papers in our library, in 2026, most of them on Language models & pretraining, Dialogue systems, Speech & spoken language; often with Jiaming Zhou, Yong Qin, Aobo Kong.
OpenAlex · h-index 1 · 3 works · 1 citations OpenAlex, 2026-10-14
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSignal Processing · 2 works
🧭 Topics 4Research subjects and languages the work is about.Dialogue systems · 1 workEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 workSpeech & spoken language · 1 work
Works by year
2020s
Papers
- DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding (2026)
Large audio language models are mostly autoregressive. They need a lot of data and compute to scale, and their token-by-token decoding slows inference. The earlier DIFFA work showed that a diffusion LLM backbone can help audio understanding, but only at a small, proof-of-concept scale. DIFFA-2 develops this into a… - RealTalk-CN: A Realistic Chinese Speech Task-Oriented Dialogue Benchmark with Cross-Modal Analysis (2026)
Speech LLMs such as GPT-4o can now handle spoken interaction end to end. However, it is unclear how well they help users finish concrete tasks when speech is spontaneous, spans many turns, varies across speakers, or alternates with typed input. Existing task-oriented dialogue (TOD) benchmarks are mostly text-only…
Co-authors here
- Jiaming Zhou ×2
- Yong Qin ×2
- Aobo Kong
- Cao Liu
- Enzhi Wang
- Ke Zeng
- Qicheng Li
- Shiwan Zhao
- Xunliang Cai
- Xuxin Cheng
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Updated
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