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From the 1 of 15 linked papers with an AI index.

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15 papers

cs.RO2026

Open-AoE: An Open Egocentric Manipulation Dataset and Toolchain for Embodied Learning

Zishuo Li, Bowen Yang, Changtao Miao +29

The paper introduces Open-AoE, a large-scale egocentric video dataset of human manipulation together with a processing and downstream toolchain that provides hand pose, camera traj…

cs.AI2026

DT-Guard: Intent-Driven Reasoning-Active Training for Reasoning-Free LLM Safety Guardrail

He Liu, Changtao Miao, Xinjie Yang +12

Large language models deployed in open-world applications require safety guardrails that are both robust to complex risks and efficient enough for low-latency runtime moderation. E…

cs.AI2026

Visual-Seeker: Towards Visual-Native Multimodal Agentic Search via Active Visual Reasoning

Zhengbo Zhang, Changtao Miao, Jinbo Su +10

Multimodal large language models (MLLMs) have demonstrated impressive capabilities in many visual tasks, but they often struggle with factual grounding when confronted with complex…

cs.CV2026

MVAD: A Benchmark Dataset for Multimodal AI-Generated Video-Audio Detection

Mengxue Hu, Yunfeng Diao, Changtao Miao +7

The rapid advancement of AI-generated multimodal video-audio content has raised significant concerns regarding information security and content authenticity. Existing synthetic vid…

cs.CV2026

The Courtroom Trial of Pixels: Robust Image Manipulation Localization via Adversarial Evidence and Reinforcement Learning Judgment

Songlin Li, Zhiqing Guo, Dan Ma +2

Although some existing image manipulation localization (IML) methods incorporate authenticity-related supervision, this information is typically utilized merely as an auxiliary tra…

cs.CV2026

VisBrowse-Bench: Benchmarking Visual-Native Search for Multimodal Browsing Agents

Zhengbo Zhang, Jinbo Su, Zhaowen Zhou +14

The rapid advancement of Multimodal Large Language Models (MLLMs) has enabled browsing agents to acquire and reason over multimodal information in the real world. But existing benc…