text-davinci-003 / -

4 benchmarks · 13 observations · 4 sources

Scores at a glance

4 benchmarks · large dot: text-davinci-003 / -; small dots: closest models where reported

AgentBench & ToolBench ↗1.71 points

text-davinci-003 / - · AgentBench & ToolBench · AgentBench overall · Original standard test set ↗

AlpacaEval ↗50%

text_davinci_003 · AlpacaEval · AlpacaEval 1 · GPT-4 judged win rate · original leaderboard example ↗

HaluEval 2.0 ↗46.38%

Text-Davinci-003 · HaluEval 2.0 · Biomedicine · MaHR · published main comparison ↗

9 more reported results

14.27% · Text-Davinci-003 · HaluEval 2.0 · Biomedicine · MiHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗

56.01% · Text-Davinci-003 · HaluEval 2.0 · Finance · MaHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗

16.65% · Text-Davinci-003 · HaluEval 2.0 · Finance · MiHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗

43.11% · Text-Davinci-003 · HaluEval 2.0 · Science · MaHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗

12.11% · Text-Davinci-003 · HaluEval 2.0 · Science · MiHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗

58.86% · Text-Davinci-003 · HaluEval 2.0 · Education · MaHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗

19.54% · Text-Davinci-003 · HaluEval 2.0 · Education · MiHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗

70.53% · Text-Davinci-003 · HaluEval 2.0 · Open Domain · MaHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗

25.25% · Text-Davinci-003 · HaluEval 2.0 · Open Domain · MiHR · published main comparison · The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ↗

BoolQ ↗88.1%

text-davinci-003 · Accuracy ↗

Closest models by score

Similar positions on shared benchmark leaderboards. Smaller gaps are closer.

There are not enough shared scored settings to identify close comparisons reliably.

Filter comparisons to this model →

Sources

Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.

AgentBench: Evaluating LLMs as Agents — published result table ↗
Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai et al. · 2023
All 22 authors
Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models — published result table ↗
Li, Junyi, Chen, Jie, Ren, Ruiyang, Cheng, Xiaoxue, Zhao, Wayne Xin, Nie, Jian-Yun et al. · 2024
All 7 authors
Li, Junyi, Chen, Jie, Ren, Ruiyang, Cheng, Xiaoxue, Zhao, Wayne Xin, Nie, Jian-Yun, Wen, Ji-Rong
Holistic Evaluation of Language Models (HELM) ↗
Stanford Center for Research on Foundation Models
AlpacaEval: An Automatic Evaluator of Instruction-following Models ↗
Xuechen Li, Tianyi Zhang, Yann Dubois, Rohan Taori, Ishaan Gulrajani, Carlos Guestrin et al. · 2023
All 8 authors
Xuechen Li, Tianyi Zhang, Yann Dubois, Rohan Taori, Ishaan Gulrajani, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto

Names used in source tables

Text-Davinci-003 · text-davinci-003 · text-davinci-003 / - · text_davinci_003