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From the 1 of 8 linked papers with an AI index.

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8 papers

cs.CV2026

Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection

Yanning Hou, Jingyuan Zhang, Xiaoyun Wang +3

Zero-shot visual anomaly detection has achieved remarkable progress, with recent vision-only approaches further improving performance while simplifying the inference pipeline. Howe…

cs.CV2026

FreqAnchorAD: Language-Free Zero-Shot Anomaly Detection via Frequency-Deviation Anchoring

Jianfeng Qiu, Peiyuan Li, Juan Xie +4

Zero-shot anomaly detection (ZSAD) aims to detect anomalies and localize defective regions in unseen target domains without target training data. Recent ZSAD methods build on pretr…

cs.CL2026

Harness-G: A Graph-Structured Harness for Search Agents

Yanning Hou, Haoyuan Chen, Sihang Zhou +7

The paper introduces Harness-G, a graph-structured retrieval framework that turns free-form query generation into finite action selection for reinforcement learning search agents a…

cs.AI2026

DRIVE: Modeling Skills at the Reasoning and Interaction Levels for Web Agents under Continual Learning

Xirui Liu, Sihang Zhou, Yanning Hou +6

Web agents require both high-level reasoning (for task decomposition) and low-level interactions (for page elements manipulation) to conduct different tasks. However, these knowled…

cs.LG2026

Decoupled Travel Planning with Behavior Forest

Duanyang Yuan, Sihang Zhou, Yanning Hou +7

Behavior sequences, composed of executable steps, serve as the operational foundation for multi-constraint planning problems such as travel planning. In such tasks, each planning s…

cs.IR2026

AtomicRAG: Atom-Entity Graphs for Retrieval-Augmented Generation

Yanning Hou, Duanyang Yuan, Sihang Zhou +5

Recent GraphRAG methods integrate graph structures into text indexing and retrieval, using knowledge graph triples to connect text chunks, thereby improving retrieval coverage and…