--- title: "Qian Chen · Alibaba Group — author profile and papers" description: "Qian Chen, Alibaba Group: 6 papers on Elamur Research (2018–2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/qian-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/qian-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Qian Chen # Qian Chen Qian Chen has 6 papers in our library, in 2018–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Wen Wang](https://md.research.elamur.ai/free/en/authors/wen-wang/), [Shengpeng Ji](https://md.research.elamur.ai/free/en/authors/shengpeng-ji/), [Siqi Zheng](https://md.research.elamur.ai/free/en/authors/siqi-zheng/). 6 papers in our library · 2018–2026 [OpenAlex](https://openalex.org/A5139835546) · [**h-index 1**](https://openalex.org/authors/A5139835546) · [9 works](https://openalex.org/works?filter=author.id:A5139835546) · [3 citations](https://openalex.org/works?filter=author.id:A5139835546&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/qian-chen/#papers) · [🔗 Cited 94 times in our library](https://md.research.elamur.ai/free/en/authors/qian-chen/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4558](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4558) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Qian+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Qian+Chen) · [dblp](https://dblp.org/search?q=Qian+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Qian+Chen) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2025–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) 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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Signal Processing · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) 🧭 Topics 5 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/qian-chen/year/2026/) · [**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/qian-chen/year/2025/) ### 2010s [**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/qian-chen/year/2018/) ## Papers The most cited first (OpenAlex and our library). 1. **[Neural Natural Language Inference Models Enhanced with External Knowledge](https://md.research.elamur.ai/free/en/papers/chen-2018-neural-natural-language-inference-models/)** *(2018 · 315 citations)* Neural NLI systems are usually trained end to end, with the implicit assumption that annotated corpora such as SNLI and MultiNLI contain all the inference knowledge a model needs. 2. **[OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversation](https://md.research.elamur.ai/free/en/papers/zhang-2025-omniflatten-end-end-gpt-model/)** *(2025 · 27 citations)* Full-duplex voice assistants must listen and speak at the same time and cope with interruptions, overlapping speech and backchannels. 3. **[ControlSpeech: Towards Simultaneous and Independent Zero-shot Speaker Cloning and Zero-shot Language Style Control](https://md.research.elamur.ai/free/en/papers/ji-2025-controlspeech-simultaneous-independent-zero-shot/)** *(2025 · 10 citations)* Text-to-speech systems have usually offered one of two abilities. Zero-shot models can copy an unseen speaker's voice but cannot change how that voice speaks. Style-controllable models follow textual style descriptions but cannot reproduce a chosen speaker's timbre. ControlSpeech combines both. It takes three inputs… 4. **[LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint](https://md.research.elamur.ai/free/en/papers/ma-2025-led-merging-mitigating-safety-utility/)** *(2025 · 5 citations)* Combining several fine-tuned LLMs into one through training-free model merging tends to weaken safety. The merged model gains skills such as math or coding but becomes more willing to produce harmful output. The authors trace this to two causes. First, existing methods pick neurons by parameter magnitude, which… 5. **[Dual-Axis Generative Reward Model Toward Semantic and Turn-taking Robustness in Interactive Spoken Dialogue Models](https://md.research.elamur.ai/free/en/papers/chen-2026-dual-axis-generative-reward-model/)** *(2026 · 4 citations)* Full-duplex spoken dialogue models (SDMs) must decide both what to say and when to say it. Reinforcement learning could improve this, but current automatic metrics make poor rewards. Timing-oracle proxies, event counts and metric suites each capture only part of interaction quality, and human ratings are expensive… 6. **[UniVocal: Unified Speech-Singing Code-Switching Synthesis](https://md.research.elamur.ai/free/en/papers/shi-2026-univocal-unified-speech-singing-code/)** *(2026)* The paper introduces Speech-Singing Code-Switching (SCS) Synthesis. In this task, a single generated utterance moves between talking and singing, and the text alone decides where the switches happen. Existing systems either produce only one mode or, like Bark, need explicit switching tags. The authors present… ## All works 7 works of theirs in our library, the most cited first; 6 with a page here, the others link their original until we summarise them. 1. **[Neural Natural Language Inference Models Enhanced with External Knowledge](https://md.research.elamur.ai/free/en/papers/chen-2018-neural-natural-language-inference-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, et al.*2018 · 315 citations* 2. **[OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversation](https://md.research.elamur.ai/free/en/papers/zhang-2025-omniflatten-end-end-gpt-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qinglin Zhang, Luyao Cheng, Chong Deng, et al.*2025 · 27 citations* 3. **[ControlSpeech: Towards Simultaneous and Independent Zero-shot Speaker Cloning and Zero-shot Language Style Control](https://md.research.elamur.ai/free/en/papers/ji-2025-controlspeech-simultaneous-independent-zero-shot/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shengpeng Ji, Qian Chen, Wen Wang, et al.*2025 · 10 citations* 4. **[LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint](https://md.research.elamur.ai/free/en/papers/ma-2025-led-merging-mitigating-safety-utility/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qianli Ma, Dongrui Liu, Qian Chen, et al.*2025 · 5 citations* 5. **[Dual-Axis Generative Reward Model Toward Semantic and Turn-taking Robustness in Interactive Spoken Dialogue Models](https://md.research.elamur.ai/free/en/papers/chen-2026-dual-axis-generative-reward-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yifu Chen, Shengpeng Ji, Zhengqing Liu, et al.*2026 · 4 citations* 6. **[UniVocal: Unified Speech-Singing Code-Switching Synthesis](https://md.research.elamur.ai/free/en/papers/shi-2026-univocal-unified-speech-singing-code/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**YuFei Shi, Qian Chen, Wen Wang, et al.*2026* 7. **[GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling ↗](https://aclanthology.org/2026.acl-long.1319/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Hao-Xiang Xu et al.*2026* ## Co-authors here 12 of 19 co-authors with a page, the most papers together first. - [Wen Wang](https://md.research.elamur.ai/free/en/authors/wen-wang/) ×4 - [Shengpeng Ji](https://md.research.elamur.ai/free/en/authors/shengpeng-ji/) ×2 - [Siqi Zheng](https://md.research.elamur.ai/free/en/authors/siqi-zheng/) ×2 - [Zhen-Hua Ling](https://md.research.elamur.ai/free/en/authors/zhen-hua-ling/) ×2 - [Zhou Zhao](https://md.research.elamur.ai/free/en/authors/zhou-zhao/) ×2 - [Chong Deng](https://md.research.elamur.ai/free/en/authors/chong-deng/) - [Diana Inkpen](https://md.research.elamur.ai/free/en/authors/diana-inkpen/) - [Dongrui Liu](https://md.research.elamur.ai/free/en/authors/dongrui-liu/) - [Jing Shao](https://md.research.elamur.ai/free/en/authors/jing-shao/) - [Linfeng Zhang](https://md.research.elamur.ai/free/en/authors/linfeng-zhang/) - [Qianli Ma](https://md.research.elamur.ai/free/en/authors/qianli-ma/) - [Shiliang Zhang](https://md.research.elamur.ai/free/en/authors/shiliang-zhang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×7: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×3, [ACL 2018](https://md.research.elamur.ai/free/en/venues/acl/2018/) ## Cited by Papers of our library cite their works 94 times (of the 149,439 papers whose bibliographies we read); [16 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/qian-chen/cited-by/). Updated 1 November 2026