AbstentionBench - answer unknown - KUQ/Unsolved problems - F1: leaderboard

AbstentionBench evaluates whether a model appropriately declines unanswerable or underspecified questions. This slice reports answer unknown - KUQ/Unsolved problems - F1 as Abstention F1 (%); values converted from 0-1 to percent. Precision and recall must be read together: always abstaining is not necessarily useful. Scenario/dataset pairs and SFT/DPO/RL checkpoints remain separate; no synthetic overall average. Source: facebookresearch/AbstentionBench analysis/abstention_performance.csv.

Metric: Abstention F1 (%). Source: github.com. Saturation forecast: Estimated already saturated. 20 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 1.5 Pro82.54#454
2Llama-3.1-Tulu-3-70B79.44#499
3GPT-4o78.87#357
4Llama-3.1-Tulu-3-70B-DPO77.65#732
5O177.56#190
6Llama-3.1-Tulu-3-8B-DPO76.96#992
7Llama-3.1-Tulu-3-8B76.12#848
8Llama 3.3 70B Instruct75.91#541
9Llama 3.1 405B Instruct72.29#470
10Mistral 7B Instruct (v0.3)71.46#1255
11Llama 3.1 8B Instruct71.03#1017
12Qwen 2.5 32B Instruct71#509
13Llama 3.1 70B Instruct69.87#567
14Llama-3.1-Tulu-3-8B-SFT67.2#977
15OLMo-7B-0724-Instruct-hf66.33#1441

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

Interactive version: theaggregate.ai/benchmark?slug=abstentionbench-answer-unknown-kuq-unsolved-problems-f1 · How It Works · Data refreshed daily, snapshot 2026-11-05.