MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues

Research article (Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024) · cited 37× · AI/ML

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MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues

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MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues is a scholarly article^[1].

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MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues's instance of is recorded as scholarly article^[2].

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Authored by 10

B. Zheng, Ge Bai, Jiaheng Liu, Tiezheng Ge, Wanli Ouyang, Wenbo Su, Xingyuan Bu, Yancheng He +2 more

← Author of 10

B. Zheng, Ge Bai, Jiaheng Liu, Tiezheng Ge, Wanli Ouyang, Wenbo Su, Xingyuan Bu, Yancheng He +2 more

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[2] ↑ MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues — instance of (P31): scholarly article. wikidata.org.

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[1] ↑ MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

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4ort.xyz Knowledge Graph. (2026). MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues. Retrieved May 24, 2026, from https://4ort.xyz/entity/mt-bench-101-a-fine-grained-benchmark-for-evaluating-large-language-models-in-multi-turn-dialogues

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“MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mt-bench-101-a-fine-grained-benchmark-for-evaluating-large-language-models-in-multi-turn-dialogues.

BibTeX

@misc{4ortxyz_mt-bench-101-a-fine-grained-benchmark-for-evaluating-large-language-models-in-multi-turn-dialogues_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues}}, year = {2026}, url = {https://4ort.xyz/entity/mt-bench-101-a-fine-grained-benchmark-for-evaluating-large-language-models-in-multi-turn-dialogues}, note = {Accessed: 2026-05-24}}

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According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues — https://4ort.xyz/entity/mt-bench-101-a-fine-grained-benchmark-for-evaluating-large-language-models-in-multi-turn-dialogues (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/mt-bench-101-a-fine-grained-benchmark-for-evaluating-large-language-models-in-multi-turn-dialogues · Last refreshed: May 24, 2026