HELM TORR - Tablebench Data Analysis - Robustness: leaderboard

HELM ToRR (release v1.0.0) robustness on Tablebench Data Analysis (TableBench data-analysis questions; 70 instances): per instance, 1 minus the spread between the best and worst ROUGE-L across 35 prompt configurations (7 table serializations x original, row-shuffled, column-shuffled, transposed and padded tables), averaged. 0-100, higher is more consistent; a model that fails every configuration also scores high.

Metric: Robustness (0-100). Source: crfm.stanford.edu. Saturation forecast: Estimated already saturated. 14 models tracked.

Top models

#ModelScoreOverall rank
1DeepSeek V372.88#329
2GPT-4o (2024-11-20)72.16#392
3Qwen 2 72B Instruct69.74#579
4GPT-4o Mini (2024-07-18)69.65#568
5Claude 3.5 Sonnet (20241022)68.63#302
6Mixtral 8x22B Instruct67.21#738
7Mixtral 8x7B Instruct66.95#1085
8Gemini 1.5 Flash (002)66.6#587
9Gemini 1.5 Pro (002)66.27#368
10Mistral 7B Instruct (v0.3)66.06#1255
11Claude 3.5 Haiku (20241022)65.97#590
12Llama 3.1 70B Instruct64.21#567
13Llama 3.1 405B Instruct63.56#470
14Llama 3.1 8B Instruct57.74#1017

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=helm-torr-tablebench-data-analysis-robustness · How It Works · Data refreshed daily, snapshot 2026-11-05.