--- title: "Yifan Yang — author profile and papers — Elamur Research" description: "Yifan Yang, Shanghai Jiao Tong University: 5 papers on Elamur Research (2023–2026), h-index 0 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/yifan-yang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yifan-yang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yifan Yang # Yifan Yang Yifan Yang 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/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Bang Zhang](https://md.research.elamur.ai/free/en/authors/bang-zhang/), [Fanghua Ye](https://md.research.elamur.ai/free/en/authors/fanghua-ye/), [Haoqin Sun](https://md.research.elamur.ai/free/en/authors/haoqin-sun/). 5 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5139718165) · [**h-index 0**](https://openalex.org/authors/A5139718165) · [7 works](https://openalex.org/works?filter=author.id:A5139718165) · [0 citations](https://openalex.org/works?filter=author.id:A5139718165&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/yifan-yang/#papers) · [🔗 Cited 58 times in our library](https://md.research.elamur.ai/free/en/authors/yifan-yang/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5407](https://md.research.elamur.ai/free/en/paper-stars/page/55/#star-5407) 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=Yifan+Yang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yifan+Yang) · [dblp](https://dblp.org/search?q=Yifan+Yang) · [ACL Anthology](https://aclanthology.org/search/?q=Yifan+Yang) ## Affiliations [🎓**Shanghai Jiao Tong University** Shanghai · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**Beijing Jiaotong University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/beijing-jiaotong-university/) 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 13 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Latent semantic indexing · 1 work](https://md.research.elamur.ai/free/en/concepts/latent-semantic-indexing/) ## Works by year ### 2020s [**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/yifan-yang/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yifan-yang/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information](https://md.research.elamur.ai/free/en/papers/jin-2023-genegpt-augmenting-large-language-models/)** *(2023 · 223 citations)* Large language models often invent facts when asked about precise database content, such as gene aliases, SNP positions or sequence alignments. Commercial search engines rarely index this kind of knowledge. GeneGPT addresses the problem by letting Codex (code-davinci-002) query the NCBI Web APIs directly. 2. **[Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-sentient-agent-as-judge-evaluating/)** *(2026 · 6 citations)* Standard LLM leaderboards reward textual skill and helpfulness, but they rarely check whether a model actually reads people well. 3. **[SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality Evaluation](https://md.research.elamur.ai/free/en/papers/wang-2026-speechllm-as-judges-general-interpretable/)** *(2026 · 3 citations)* Judging how good synthetic speech sounds is still difficult. Common tools such as MOS ratings, A/B tests, or MCD produce a single number or a binary choice, which explains nothing about the judgment. Learned predictors such as UTMOS are usually limited to one task and one language. The authors propose… 4. **[FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression](https://md.research.elamur.ai/free/en/papers/tian-2026-flat-llm-fine-grained-low/)** *(2026 · 2 citations)* Large language models are costly to run on limited hardware. Low-rank compression helps, but SVD-based variants often lose accuracy, need recovery fine-tuning, and split layers into two smaller matrix multiplications that run poorly on GPUs. SliceGPT avoids SVD but adds adapters on residual paths, which costs memory.… 5. **[From Mimesis to Metamorphosis: Evolving VLM Judges via In-Context Comparing and Knowledge Internalization](https://md.research.elamur.ai/free/en/papers/wang-2026-mimesis-metamorphosis-evolving-vlm-judges/)** *(2026)* VLM-based judges that output absolute scores for subjective qualities such as aesthetics tend to be unreliable. ## All works 7 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. **[GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information](https://md.research.elamur.ai/free/en/papers/jin-2023-genegpt-augmenting-large-language-models/) [Bioinformatics](https://md.research.elamur.ai/free/en/venues/bioinformatics/)**Qiao Jin, Yifan Yang, Qingyu Chen, et al.*2023 · 223 citations* 2. **[Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-sentient-agent-as-judge-evaluating/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bang Zhang, Ruotian Ma, Qingxuan Jiang, et al.*2026 · 6 citations* 3. **[SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality Evaluation](https://md.research.elamur.ai/free/en/papers/wang-2026-speechllm-as-judges-general-interpretable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hui Wang, Jinghua Zhao, Yifan Yang, et al.*2026 · 3 citations* 4. **[FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression](https://md.research.elamur.ai/free/en/papers/tian-2026-flat-llm-fine-grained-low/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiayi Tian, Ryan Solgi, Jinming Lu, et al.*2026 · 2 citations* 5. **[From Mimesis to Metamorphosis: Evolving VLM Judges via In-Context Comparing and Knowledge Internalization](https://md.research.elamur.ai/free/en/papers/wang-2026-mimesis-metamorphosis-evolving-vlm-judges/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Juntuo Wang, Yuming Qiao, Yifan Yang, et al.*2026* 6. **[Towards Fine-Grained and Multi-Granular Contrastive Language-Speech Pre-training ↗](https://aclanthology.org/2026.acl-long.194/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yifan Yang et al.*2026* 7. **[ToolCPT: Improving Tool Utilization in LLM Agents via Continuous Pre-training ↗](https://aclanthology.org/2026.findings-acl.776/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Yifan Yang et al.*2026* ## Co-authors here 12 of 24 co-authors with a page, the most papers together first. - [Bang Zhang](https://md.research.elamur.ai/free/en/authors/bang-zhang/) - [Fanghua Ye](https://md.research.elamur.ai/free/en/authors/fanghua-ye/) - [Haoqin Sun](https://md.research.elamur.ai/free/en/authors/haoqin-sun/) - [Hui Wang](https://md.research.elamur.ai/free/en/authors/hui-wang/) - [Jiaming Zhou](https://md.research.elamur.ai/free/en/authors/jiaming-zhou/) - [Jian Li](https://md.research.elamur.ai/free/en/authors/jian-li/) - [Jiaqi Chen](https://md.research.elamur.ai/free/en/authors/jiaqi-chen/) - [Jinghua Zhao](https://md.research.elamur.ai/free/en/authors/jinghua-zhao/) - [Jinyu Li](https://md.research.elamur.ai/free/en/authors/jinyu-li/) - [Peisong Wang](https://md.research.elamur.ai/free/en/authors/peisong-wang/) - [Qiao Jin](https://md.research.elamur.ai/free/en/authors/qiao-jin/) - [Qingxuan Jiang](https://md.research.elamur.ai/free/en/authors/qingxuan-jiang/) ## 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/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×3: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×3 - [Bioinformatics](https://md.research.elamur.ai/free/en/venues/bioinformatics/): [Bioinformatics 2023](https://md.research.elamur.ai/free/en/venues/bioinformatics/2023/) - Findings of the Association for Computational Linguistics: ACL 2026 ## Cited by Papers of our library cite their works 58 times (of the 149,439 papers whose bibliographies we read); [21 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yifan-yang/cited-by/). Updated 1 November 2026