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20242026
most citedHumanizing the Machine: Proxy Attacks to Mislead LLM Detectors

1 citations · 2 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

It Takes Workflows to Evolve Better Workflows

Xuehang Guo, Haoyu Wang, Haifeng Chen +3

Tackling complex real-world tasks can exceed the capabilities of a single large language model (LLM), motivating the use of multi-agent workflows that coordinate specialized agents…

cs.LG2026

Quantifying Event Impacts on Time Series via Multiscale Contrastive Learning

Yiming Sun, Shengyu Chen, Zhengzhang Chen +3

Shocks that spread through the web, such as cybersecurity breach disclosures, can abruptly disrupt financial time series and cause substantial abnormal losses. While these events a…

cs.IR2026

HARP: Hierarchical Adaptive Ranking with Preference-Adaptive Fusion for Query-Based CVE Prioritization

Haochen Liu, Zhengzhang Chen, Haoyu Wang +3

Vulnerability prioritization is inherently preference dependent, since the same CVE can receive different remediation priority under different operational preference scenarios. Exi…

cs.LG2026

The Power of Order: Fooling LLMs with Adversarial Table Permutations

Xinshuai Dong, Haifeng Chen, Xuyuan Liu +5

Large Language Models have achieved remarkable success and are increasingly deployed in critical applications involving tabular data, such as Table Question Answering. However, the…

cs.CL2026

Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models

Binchi Zhang, Xujiang Zhao, Jundong Li +2

Large language models (LLMs) are increasingly deployed in culturally sensitive real-world tasks. However, existing cultural alignment approaches fail to align LLMs' broad cultural…