--- title: "Yuchen Liu — author profile and papers — Elamur Research" description: "Yuchen Liu, Chinese Academy of Sciences: 5 papers on Elamur Research (2023–2026), h-index 0 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/yuchen-liu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuchen-liu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yuchen Liu # Yuchen Liu Yuchen Liu has 5 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Bihui Yu](https://md.research.elamur.ai/free/en/authors/bihui-yu/), [Chen Wang](https://md.research.elamur.ai/free/en/authors/chen-wang/), [Chengqing Zong](https://md.research.elamur.ai/free/en/authors/chengqing-zong/). 5 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5139844914) · [**h-index 0**](https://openalex.org/authors/A5139844914) · [5 works](https://openalex.org/works?filter=author.id:A5139844914) · [0 citations](https://openalex.org/works?filter=author.id:A5139844914&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/yuchen-liu/#papers) · [🔗 Cited 75 times in our library](https://md.research.elamur.ai/free/en/authors/yuchen-liu/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6920](https://md.research.elamur.ai/free/en/paper-stars/page/70/#star-6920) 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=Yuchen+Liu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuchen+Liu) · [dblp](https://dblp.org/search?q=Yuchen+Liu) · [ACL Anthology](https://aclanthology.org/search/?q=Yuchen+Liu) ## Affiliations [🏛️**Chinese Academy of Sciences** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Automation** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🏢**Xiaomi** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/xiaomi/) 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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 7 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Information extraction · 1 work](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/yuchen-liu/year/2026/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/yuchen-liu/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models](https://md.research.elamur.ai/free/en/papers/xu-2023-rewoo-decoupling-reasoning-observations-efficient/)** *(2023 · 61 citations)* Tool-using language systems such as ReAct alternate between model reasoning and tool calls. Each time a tool returns a result, the model must be called again with the full history: instructions, examples, earlier thoughts and observations. Because commercial LLM APIs are stateless and priced per token, this repeated… 2. **[BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writing](https://md.research.elamur.ai/free/en/papers/wang-2023-blsp-bootstrapping-language-speech-pre/)** *(2023 · 32 citations)* Text-trained large language models struggle to take speech as input. Cascaded systems that feed ASR output into an LLM keep the two components separate, and end-to-end speech LLMs depend on speech instruction data, which is rare. The authors first show that training an adapter only to reproduce transcripts makes the… 3. **[GenProve: Learning to Generate Text with Fine-Grained Provenance](https://md.research.elamur.ai/free/en/papers/wei-2026-genprove-learning-generate-text-fine/)** *(2026)* Citations in LLM answers often point only to whole documents. They do not show which sentence backs a claim or how that sentence is used, so checking the answer stays hard. The authors define a task called Generation-time Fine-grained Provenance. The model writes an answer and, for each sentence, emits structured… 4. **[M³-VQA: A Benchmark for Multimodal, Multi-Entity, Multi-Hop Visual Question Answering](https://md.research.elamur.ai/free/en/papers/ma-2026-m-3-vqa-benchmark-multimodal/)** *(2026)* Most knowledge-based VQA benchmarks test coarse categories or one main entity and need only one or two reasoning steps. 5. **[ProUIE: A Macro-to-Micro Progressive Learning Method for LLM-based Universal Information Extraction](https://md.research.elamur.ai/free/en/papers/liu-2026-prouie-macro-micro-progressive-learning/)** *(2026)* Many LLM-based universal information extraction (UIE) systems add extra signals on top of the standard annotations, such as schema hints, external knowledge, guidelines, or verification pipelines. ## All works 6 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them. 1. [**ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models arXiv:2305.18323**Binfeng Xu, Zhiyuan Peng, Bowen Lei, et al.*2023 · 61 citations*](https://md.research.elamur.ai/free/en/papers/xu-2023-rewoo-decoupling-reasoning-observations-efficient/) 2. [**BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writing arXiv:2309.00916**Chen Wang, Minpeng Liao, Zhongqiang Huang, et al.*2023 · 32 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-blsp-bootstrapping-language-speech-pre/) 3. **[GenProve: Learning to Generate Text with Fine-Grained Provenance](https://md.research.elamur.ai/free/en/papers/wei-2026-genprove-learning-generate-text-fine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingxuan Wei, Xingyue Wang, Yanghaoyu Liao, et al.*2026* 4. **[M³-VQA: A Benchmark for Multimodal, Multi-Entity, Multi-Hop Visual Question Answering](https://md.research.elamur.ai/free/en/papers/ma-2026-m-3-vqa-benchmark-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiatong Ma, Longteng Guo, Yuchen Liu, et al.*2026* 5. **[ProUIE: A Macro-to-Micro Progressive Learning Method for LLM-based Universal Information Extraction](https://md.research.elamur.ai/free/en/papers/liu-2026-prouie-macro-micro-progressive-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenda Liu, Song Zhigang, Shuai Nie, et al.*2026* 6. **[Detecting AI-Generated Content on Social Media with Multi-modal Language Models ↗](https://aclanthology.org/2026.acl-industry.15/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track) · no summary yet**Chenyang Yang et al.*2026* ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Bihui Yu](https://md.research.elamur.ai/free/en/authors/bihui-yu/) - [Chen Wang](https://md.research.elamur.ai/free/en/authors/chen-wang/) - [Chengqing Zong](https://md.research.elamur.ai/free/en/authors/chengqing-zong/) - [Jiajun Zhang](https://md.research.elamur.ai/free/en/authors/jiajun-zhang/) - [Jing Liu](https://md.research.elamur.ai/free/en/authors/jing-liu/) - [Jingxuan Wei](https://md.research.elamur.ai/free/en/authors/jingxuan-wei/) - [Junhong Wu](https://md.research.elamur.ai/free/en/authors/junhong-wu/) - [Junnan Zhu](https://md.research.elamur.ai/free/en/authors/junnan-zhu/) - [Minpeng Liao](https://md.research.elamur.ai/free/en/authors/minpeng-liao/) - [Peng Zhou](https://md.research.elamur.ai/free/en/authors/peng-zhou/) - [Subhabrata Mukherjee](https://md.research.elamur.ai/free/en/authors/subhabrata-mukherjee/) - [Yaran Chen](https://md.research.elamur.ai/free/en/authors/yaran-chen/) ## 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/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 75 times (of the 149,439 papers whose bibliographies we read); [14 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yuchen-liu/cited-by/). Updated 1 November 2026