LLM Reference
QuACactive

QuAC: Question Answering in Context

Metric: F1 / HEQ (higher is better)Introduced: 2018

98,407 conversational QA turns from 7,354 Wikipedia dialogues requiring multi-turn reasoning and follow-up question answering.

Models ranked

0

tracked on this benchmark

Score band

no scores yet

Snapshot trend

need ≥2 snapshots

Leaderboard

Tracked models ranked by F1 / HEQ (higher is better).

Compare candidates

No leaderboard entries are tracked for this benchmark yet.

How to read this benchmark

This benchmark scores models where higher is better. Use scores for directional filtering and shortlisting, not universal quality ranking; then validate pricing, context window, provider availability, and fit for your workload.

Trust this score when

  • There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
  • The model list covers the same version family you can actually deploy today.
  • Top candidates overlap with your required routing and feature requirements.

Be cautious when

  • There is only one benchmark snapshot or the dataset appears stale.
  • The benchmark metric direction is opposite of your decision objective.
  • The score difference between options is narrow and likely within implementation variance.

Last reviewed: Apr 15, 2026