ResearchResearch paperMultimodal Models · Large Language Models1 source · Oct 8, 2026

When History Helps and Hurts: Selective History Use across Multimodal Turns

Reliable multimodal interaction depends on selective use of conversational history: an earlier question may remain relevant while its previous answer is outdated, whereas a current request may depend on historical evidence despite conflicting new observations.

Key points

  • Existing multi-turn evaluations rarely separate these history-use demands from underlying question difficulty.
  • To address this gap, we introduce ReTurn, a benchmark of 7,000 base tasks spanning visual and audio evidence for evaluating selective history use.
  • For task-carrying history, Reconfirm/Reground require applying a historical question to current media while varying historical agreement; for evidence-carrying history, Retrieve/Rebind require answering a current question using historical media while varying current-media competition.
  • Behavioral probes show that high question recall can coexist with weaker task application, while competing media can redirect answers away from historical targets.

Sources (1)

  • [1]When History Helps and Hurts: Selective History Use across Multimodal Turns
    arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 8, 01:36 PM
    Reliable multimodal interaction depends on selective use of conversational history: an earlier question may remain relevant while its previous answer is outdated, whereas a current request may depend on historical evidence despite conflicting new observations.
    Existing multi-turn evaluations rarely separate these history-use demands from underlying question difficulty.

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