Yifan Yang
Yifan Yang has 5 papers in our library, in 2023–2026, most of them on Language models & pretraining, Efficient models & compression; often with Bang Zhang, Fanghua Ye, Haoqin Sun.
OpenAlex · h-index 0 · 7 works · 0 citations OpenAlex, 2026-10-14
📄 5 works in our library · 🔗 Cited 58 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #5407
Affiliations
Fields, topics and concepts
📚 Shelves 13The field of science this work belongs to (OpenAlex fields).Computer Science · 5 worksArts and Humanities · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksBiochemistry, Genetics and Molecular Biology · 1 workHealth Informatics · 1 workMedicine · 1 workMolecular Biology · 1 workSafety Research · 1 workSocial Sciences · 1 workSignal Processing · 1 workComputer Vision and Pattern Recognition · 2 worksInformation Systems · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksEfficient models & compression · 1 work
💡 Concepts 1Key ideas and methods explained on our concept pages.Latent semantic indexing · 1 work
Works by year
2020s
Papers
- GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information (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. - Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models (2026 · 6 citations)
Standard LLM leaderboards reward textual skill and helpfulness, but they rarely check whether a model actually reads people well. - SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality Evaluation (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… - FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression (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.… - From Mimesis to Metamorphosis: Evolving VLM Judges via In-Context Comparing and Knowledge Internalization (2026)
VLM-based judges that output absolute scores for subjective qualities such as aesthetics tend to be unreliable.
All works
- GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical InformationBioinformaticsQiao Jin, Yifan Yang, Qingyu Chen, et al.2023 · 223 citations
- Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language ModelsFindings of the Association for Computational LinguisticsBang Zhang, Ruotian Ma, Qingxuan Jiang, et al.2026 · 6 citations
- SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Hui Wang, Jinghua Zhao, Yifan Yang, et al.2026 · 3 citations
- FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model CompressionFindings of the Association for Computational LinguisticsJiayi Tian, Ryan Solgi, Jinming Lu, et al.2026 · 2 citations
- From Mimesis to Metamorphosis: Evolving VLM Judges via In-Context Comparing and Knowledge InternalizationFindings of the Association for Computational LinguisticsJuntuo Wang, Yuming Qiao, Yifan Yang, et al.2026
- Towards Fine-Grained and Multi-Granular Contrastive Language-Speech Pre-training ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYifan Yang et al.2026
- ToolCPT: Improving Tool Utilization in LLM Agents via Continuous Pre-training ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYifan Yang et al.2026
Co-authors here
- Bang Zhang
- Fanghua Ye
- Haoqin Sun
- Hui Wang
- Jiaming Zhou
- Jian Li
- Jiaqi Chen
- Jinghua Zhao
- Jinyu Li
- Peisong Wang
- Qiao Jin
- Qingxuan Jiang
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×3: ACL 2026
- Findings of the Association for Computational Linguistics ×3: Findings of the Association for Computational Linguistics 2026 ×3
- Bioinformatics: Bioinformatics 2023
- Findings of the Association for Computational Linguistics: ACL 2026
Cited by
Updated
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