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Bookmark or Share- GitHub - lm-sys/FastChat: An open platform for training, serving, and ...We use MT-bench, a set of challenging multi-turn open-ended questions to evaluate models. To automate the evaluation process, we prompt strong LLMs like GPT-4 to act as judges and assess the quality of the models' responses. See instructions for running MT-bench at fastchat/llm_judge. MT-bench is the new recommended way to benchmark your models.
- Title: Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena - arXiv.orgWe then verify the agreement between LLM judges and human preferences by introducing two benchmarks: MT-bench, a multi-turn question set; and Chatbot Arena, a crowdsourced battle platform. Our results reveal that strong LLM judges like GPT-4 can match both controlled and crowdsourced human preferences well, achieving over 80% agreement, the ...
- MT-Bench Dataset - Papers With CodeMT-Bench. This dataset contains 3.3K expert-level pairwise human preferences for model responses generated by 6 models in response to 80 MT-bench questions. The 6 models are GPT-4, GPT-3.5, Claud-v1, Vicuna-13B, Alpaca-13B, and LLaMA-13B.
- arXiv:2306.05685v4 [cs.CL] 24 Dec 2023MT-bench and Chatbot Arena. MT-bench is a series of open-ended questions that evaluate a chatbot’s multi-turn conversational and instruction-following ability – two critical elements for human prefer-ence. MT-bench is also carefully constructed to differentiate chatbots based on their core capabilities, such as reasoning and math.
- GitHub - mtbench101/mt-bench-101: [ACL 2024] MT-Bench-101: A Fine ...MT-Bench-101 is specifically designed to evaluate the finegrained abilities of LLMs in multi-turn dialogues. By conducting a detailed analysis of real multi-turn dialogue data, we construct a three-tier hierarchical ability taxonomy comprising 4208 turns across 1388 multi-turn dialogues in 13 distinct tasks.
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