Ying Sun
Ying Sun has 3 papers in our library, in 2025–2026, most of them on Reasoning, Efficient models & compression; often with Jian Wu, Qi Zhang, Wei Chen.
OpenAlex · ORCID · Wikidata · h-index 15 · 81 works · 786 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 13 times in our library · ⭐ Paper Stars ranking: #10292
Affiliations
Fields, topics and concepts
📚 Shelves 10The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 2 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksHealth Informatics · 1 workMedicine · 1 workComputer Vision and Pattern Recognition · 2 worksComputational Theory and Mathematics · 1 workMaterials Chemistry · 1 workMaterials Science · 1 work
🧭 Topics 2Research subjects and languages the work is about.Efficient models & compression · 1 workReasoning · 1 work
Works by year
2020s
Papers
- LLMs Can Simulate Standardized Patients via Agent Coevolution (2025 · 20 citations)
Medical training relies on standardized patients (SPs), actors who portray real cases. They are costly to prepare, and the role can strain their well-being. LLM-based SPs exist, but earlier work mostly improved retrieval or relied on expert feedback. The harder problem is teaching a knowledgeable model to answer like… - Latent-Condensed Transformer for Efficient Long Context Modeling (2026)
Long-context LLMs face two separate costs. The KV cache grows with sequence length, and self-attention scales quadratically. Multi-head Latent Attention (MLA) shrinks the per-token cache by storing low-dimensional latents, but it still attends over every token. Sparse-attention techniques, in turn, need… - REAP: Towards Effective Training-Free Chemical Reasoning with Explicit Atomic Priors (2026)
Frozen general-purpose LLMs often fail at precise chemical reasoning. They see molecules only as SMILES strings or coarse descriptors. Fine-tuning can add domain knowledge, but it locks that knowledge into weights, makes updates expensive, and can erode general skills.
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026, ACL 2025
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
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