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EviRover: Reinforcing Agentic Perception Beyond a Glance

Paper recorded by Signals 4 on 2026-09-30 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-30 on arXiv · recorded by Signals 4 on 2026-10-01

Category: cs.AI · 人工智能 · first seen 2026-10-01

Abstract

Visual perception is conventionally formulated as a one-shot prediction from a single glance at the image, under the assumption that the image content and the model's parametric knowledge suffice to resolve the query. This assumption often fails in real-world scenarios that hinge on fine-grained visual details or require knowledge-intensive and up-to-date information. We term such cases \textit{pe

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#36 most recent of 500 cs.AI papers we have recorded · ↑ newer: ComputerSD: Online Self-Distillation from Real-Time Feedback for Compu · ↓ older: PhantomEnvironments: Training LLM Agents in Fictional Worlds
Cite this page: EviRover: Reinforcing Agentic Perception Beyond a Glance: the #36 most recent of 500 cs.AI papers we have recorded (as of 2026-09-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/evirover-reinforcing-agentic-perception-beyond-a-glance.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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