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Yu-Quan Lin

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#artificial intelligence Review Oct 2026

InsightRAG: Aggregating Distributed Scholarly Judgments for Scientific Survey Generation

The rapid growth of scientific literature makes survey writing increasingly challenging, motivating automatic survey generation. Yet, existing systems must search an open space of papers and an open space of concepts with no trace of how the community itself has navigated them, leading to incomplete scope, weak taxonom...

Yu-Quan Lin, Wen-Shuo Zhang, Yi-Lin Ye et al. · 0 citations
#artificial intelligence Preprint Oct 2026

RITE: Evaluating End-to-End Resilience to Silent Tool Errors in E-Commerce Agentic Systems

This work forms Silent-error Resilience Task, an interactive task that evaluates whether agents complete the original query after a silent error corrupts an intermediate state, and introduces RITE, a benchmark built from human-authored industrial workflows and production-log-derived inputs.

Wen-Shuo Zhang, Yu-Quan Lin, Yu-Shi Sun et al. · 0 citations
2026

Rethinking Fake Adversarial Examples for Single-Step Adversarial Training

Adversarial training (AT) is a widely adopted defense against adversarial attacks, but its multi-step optimization process for generating adversarial examples leads to substantial computational overhead. To mitigate this, various single-step adversarial training methods have been proposed. However, these models often s...

Lifeng Huang, Yuquan Lin, Chen Wan et al. · 0 citations

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