Wei-Lin Chiang
Berkeley College(US)University of California, Berkeley(US)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Neural Networks and Applications, Face and Expression Recognition, Cloud Computing and Resource Management
Most-Cited Works
- → Cluster-GCN(2019)1,180 cited
- → Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena(2023)432 cited
- → Balsa: Learning a Query Optimizer Without Expert Demonstrations(2022)69 cited
- → Parallel Dual Coordinate Descent Method for Large-scale Linear Classification in Multi-core Environments(2016)39 cited
- → Fast Matrix-Vector Multiplications for Large-Scale Logistic Regression on Shared-Memory Systems(2015)27 cited
- → LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset(2023)24 cited
- Preconditioned Conjugate Gradient Methods in Truncated Newton Frameworks for Large-scale Linear Classification(2018)
- → Rethinking Benchmark and Contamination for Language Models with Rephrased Samples(2023)7 cited
- → OR-Bench: An Over-Refusal Benchmark for Large Language Models(2024)7 cited