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arXiv AI By Jintao Li, Zhiyong Cao, Baihua Xiao, Yu Bai, B\"orje F. Karlsson

EviSeek: An Evidence-Centric Agentic Framework for Embodied Active Information Seeking

Read the original on arXiv AI →

EviSeek is a training‑free framework that explicitly links question‑derived evidence demands to observation‑conditioned actions and selective evidence retention. By making the informational purpose of interaction explicit, it guides agents to acquire only the evidence needed to answer a question. On the ESI‑Bench dataset, EviSeek improves accuracy by 7.1 percentage points over a single‑model agent with Qwen3‑VL‑32B and by 3.7 points with Gemini 3.1 Pro, while also boosting visual‑support‑weighted accuracy and reducing token usage.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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