Shilin Zhang
Shilin Zhang has 2 papers in our library, in 2024, most of them on Language models & pretraining, Evaluation & benchmarks, Vision & language; often with Dongping Chen, Hai Zhao, Lichao Sun.
OpenAlex · ORCID · Wikidata · h-index 68 · 355 works · 18,837 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 118 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6189
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 2 worksEfficient models & compression · 1 workEvaluation & benchmarks · 1 workVision & language · 1 work
Works by year
2020s
Papers
- PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference (2024 · 91 citations)
Serving LLMs at scale is limited by GPU memory, and the KV cache often takes far more memory than the model weights. - MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark (2024 · 60 citations)
Automatic metrics for multimodal model outputs, such as exact matching or embedding similarity, miss fine-grained quality criteria.
All works
- PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM InferenceFindings of the Association for Computational LinguisticsDongjie Yang, Xiaodong Han, Yan Gao, et al.2024 · 91 citations
- Designing a hybrid electrode toward high energy density with a staged Li + and PF 6 − deintercalation/intercalation mechanism ↗Proceedings of the National Academy of Sciences · no summary yetJunnan Hao et al.2020 · 68 citations
- MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language BenchmarkarXiv:2402.04788Dongping Chen, Ruoxi Chen, Shilin Zhang, et al.2024 · 60 citations
Co-authors here
Venues
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2024
- Proceedings of the National Academy of Sciences
Cited by
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