HELM TORR - Numeric Nlg - Robustness: leaderboard

HELM ToRR (release v1.0.0) robustness on NumericNLG (generating descriptions of numeric tables from scientific papers; 47 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
1Claude 3.5 Sonnet (20241022)92.96#302
2GPT-4o Mini (2024-07-18)92.73#568
3GPT-4o (2024-11-20)92.16#392
4Claude 3.5 Haiku (20241022)91.68#590
5Llama 3.1 8B Instruct91.15#1017
6Gemini 1.5 Flash (002)90.51#587
7Mixtral 8x22B Instruct89.9#738
8Gemini 1.5 Pro (002)88.21#368
9Mistral 7B Instruct (v0.3)87.12#1255
10Llama 3.1 70B Instruct86.88#567
11Qwen 2 72B Instruct86.74#579
12DeepSeek V385.87#329
13Llama 3.1 405B Instruct85.08#470
14Mixtral 8x7B Instruct81.61#1085

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-numeric-nlg-robustness · How It Works · Data refreshed daily, snapshot 2026-11-05.