AbstentionBench - stale - FreshQA - F1: leaderboard

AbstentionBench evaluates whether a model appropriately declines unanswerable or underspecified questions. This slice reports stale - FreshQA - 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. 20 models tracked.

Top models

#ModelScoreOverall rank
1Llama 3.1 8B52.08#1130
2Llama-3.1-Tulu-3-8B51.57#848
3Llama 3.1 70B50.63#588
4Llama-3.1-Tulu-3-8B-DPO48.78#992
5Llama-3.1-Tulu-3-70B48.55#499
6Llama-3.1-Tulu-3-70B-DPO48.48#732
7GPT-4o47.42#357
8OLMo-7B-0724-Instruct-hf47.19#1441
9Llama 3.3 70B Instruct45.8#541
10Qwen 2.5 32B Instruct45.4#509
11O143.04#190
12Gemini 1.5 Pro42.5#454
13Llama 3.1 405B Instruct42.24#470
14Llama-3.1-Tulu-3-8B-SFT42.02#977
15Llama 3.1 70B Instruct40#567

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