HELM TORR - Scigen - Robustness: leaderboard

HELM ToRR (release v1.0.0) robustness on SciGen (reasoning-aware text generation from scientific tables; 13 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)93.23#302
2GPT-4o Mini (2024-07-18)92.77#568
3DeepSeek V392.56#329
4Llama 3.1 8B Instruct92.19#1017
5Claude 3.5 Haiku (20241022)91.81#590
6GPT-4o (2024-11-20)91.76#392
7Mixtral 8x22B Instruct90.15#738
8Gemini 1.5 Flash (002)89.93#587
9Llama 3.1 70B Instruct88.79#567
10Qwen 2 72B Instruct87.71#579
11Gemini 1.5 Pro (002)87.3#368
12Mistral 7B Instruct (v0.3)86.85#1255
13Mixtral 8x7B Instruct85.74#1085
14Llama 3.1 405B Instruct85.19#470

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