Chen Hu
Chen Hu has 3 papers in our library, in 2025–2026, most of them on Speech & spoken language, Question answering; often with Boyong Wu, Chao Yan, Chengli Feng.
OpenAlex · ORCID · h-index 12 · 54 works · 610 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 54 times in our library · ⭐ Paper Stars ranking: #7641
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksSignal Processing · 2 worksInformation Systems · 1 work
🧭 Topics 2Research subjects and languages the work is about.Speech & spoken language · 2 worksQuestion answering · 1 work
Works by year
2020s
Papers
- Step-Audio 2 Technical Report (2025 · 31 citations)
Step-Audio 2 is StepFun's end-to-end large audio language model (LALM). It targets three weaknesses of earlier systems: they ignore paralinguistic cues such as emotion and speaking style, they answer mostly in text, and they hallucinate because they lack external knowledge. The model reads raw audio through a latent… - Step-Audio: Unified Understanding and Generation in Intelligent Speech Interaction (2025 · 25 citations)
Open-source spoken dialogue systems often keep speech understanding and speech generation in separate components. - CoPA: Benchmarking Personalized Question Answering with Data-Informed Cognitive Factors (2026)
Evaluating whether LLM answers are actually personalized is difficult. Common metrics such as BLEU and ROUGE only measure word overlap. History-matching heuristics stay at the surface level, and LLM-as-a-Judge setups usually depend on generic, hand-written criteria. The authors take a data-driven route instead. They…
Co-authors here
- Boyong Wu ×2
- Chao Yan ×2
- Chengli Feng ×2
- Fei Tian ×2
- Feiyu Shen ×2
- Jingbei Li ×2
- Mingrui Chen ×2
- Peng Liu ×2
- Ailin Huang
- Gang Yu
- Hang Su
- Haoyang Zhang
Venues
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
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