AbstentionBench - underspecified context - Musique - F1: leaderboard

AbstentionBench evaluates whether a model appropriately declines unanswerable or underspecified questions. This slice reports underspecified context - Musique - 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
1Llama 3.3 70B Instruct83.08#541
2Llama 3.1 405B Instruct82.73#470
3Llama 3.1 8B Instruct82.38#1017
4Gemini 1.5 Pro82.23#454
5Qwen 2.5 32B Instruct81.51#509
6Llama 3.1 70B Instruct80.9#567
7Mistral 7B Instruct (v0.3)77.45#1255
8GPT-4o74.52#357
9Llama 3.1 8B70.55#1130
10Llama 3.1 70B67.87#588
11Llama-3.1-Tulu-3-70B-DPO67.42#732
12O163.39#190
13Llama-3.1-Tulu-3-70B61.67#499
14OLMo-7B-0724-Instruct-hf55.69#1441
15DeepSeek R1 Distill Llama 70B51.46#614

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

Interactive version: theaggregate.ai/benchmark?slug=abstentionbench-underspecified-context-musique-f1 · How It Works · Data refreshed daily, snapshot 2026-11-05.