Qinyuan Cheng
Qinyuan Cheng has 4 papers in our library, in 2025–2026, most of them on Speech & spoken language, Reasoning, Code & programming languages; often with Xipeng Qiu, Qipeng Guo, Shimin Li.
OpenAlex · h-index 6 · 39 works · 103 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 83 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #7489
Affiliations
Fields, topics and concepts
📚 Shelves 10The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArts and Humanities · 3 worksArtificial Intelligence · 4 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 3 worksPsychology · 1 workComputer Science Applications · 1 workInformation Systems · 1 workExperimental and Cognitive Psychology · 1 workSignal Processing · 1 work
🧭 Topics 5Research subjects and languages the work is about.Code & programming languages · 1 workReasoning · 1 workVision & language · 1 workSpeech & spoken language · 1 workTokenization & segmentation · 1 work
Works by year
2020s
Papers
- Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities? (2025 · 38 citations)
Open o1-style reasoning models such as QwQ, Deepseek-R1 (R1) and LIMO generate very long chains of thought (CoT). - VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search (2025 · 13 citations)
Large vision-language models (LVLMs) still struggle with geometry problems and spatial navigation. People handle such tasks by sketching, checking intermediate pictures and trying alternative routes. Earlier multimodal "slow thinking" methods either reason purely in text over a fixed input image or add visual help… - Case2Code: Scalable Synthetic Data for Code Generation (2025 · 7 citations)
Code LLMs are often improved with synthetic instruction data, but this data usually comes from a strong teacher model. - XY-Tokenizer: Mitigating the Semantic-Acoustic Conflict in Low-Bitrate Speech Codecs (2026 · 4 citations)
Speech LLMs need discrete tokens that carry both linguistic content and acoustic detail. At low bitrates, codecs typically trade one for the other. This paper introduces XY-Tokenizer, a codec of roughly 1 kbps designed to reduce that tension.
All works
- Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?Annual Meeting of the Association for Computational Linguistics (ACL)Zhiyuan Zeng, Qinyuan Cheng, Zhangyue Yin, et al.2025 · 38 citations
- Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective ↗arXiv:2412.14135 · no summary yetZhiyuan Zeng et al.2024 · 33 citations
- VisuoThink: Empowering LVLM Reasoning with Multimodal Tree SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Yikun Wang, Siyin Wang, Qinyuan Cheng, et al.2025 · 13 citations
- Case2Code: Scalable Synthetic Data for Code GenerationInternational Conference on Computational Linguistics (COLING)Yunfan Shao, Linyang Li, Yichuan Ma, et al.2025 · 7 citations
- XY-Tokenizer: Mitigating the Semantic-Acoustic Conflict in Low-Bitrate Speech CodecsAnnual Meeting of the Association for Computational Linguistics (ACL)Yitian Gong, Luozhijie Jin, Kuangwei Chen, et al.2026 · 4 citations
- Mitigating Negative Style Transfer in Hybrid Dialogue System ↗arXiv:2212.07183 · no summary yetShimin Li et al.2022 · 3 citations
- WESR: A Benchmark and Strong Baseline for Word-level Event-Speech Recognition ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetChenchen Yang et al.2026
Co-authors here
- Xipeng Qiu ×4
- Qipeng Guo ×2
- Shimin Li ×2
- Zhaoye Fei ×2
- Dacheng Tao
- Dong Zhang
- Hang Yan
- Liang Ding
- Linyang Li
- Luozhijie Jin
- Peiji Li
- Pengyu Wang
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×3: ACL 2026, ACL 2025 ×2
- International Conference on Computational Linguistics (COLING): COLING 2025
- Findings of the Association for Computational Linguistics: ACL 2026
Cited by
Updated
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