1.3k citations · 1.9k across the 22 of their papers we have counts for
4 papers · 1 filter
LLM-Assisted Code Cleaning For Training Accurate Code Generators
Naman Jain, Tianjun Zhang, Wei-Lin Chiang +3
Natural language to code generation is an important application area of LLMs and has received wide attention from the community. The majority of relevant studies have exclusively c…
Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Shuo Yang, Wei-Lin Chiang, Lianmin Zheng +2
Large language models are increasingly trained on all the data ever produced by humans. Many have raised concerns about the trustworthiness of public benchmarks due to potential co…
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng +10
Studying how people interact with large language models (LLMs) in real-world scenarios is increasingly important due to their widespread use in various applications. In this paper,…
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng +10
Evaluating large language model (LLM) based chat assistants is challenging due to their broad capabilities and the inadequacy of existing benchmarks in measuring human preferences.…