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20232026
most citedAutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

11 citations · 18 across the 15 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

Do Images Speak Louder than Words? Investigating the Effect of Textual Misinformation in VLMs

Chi Zhang, Wenxuan Ding, Jiale Liu +3

Vision-Language Models (VLMs) have shown strong multimodal reasoning capabilities on Visual-Question-Answering (VQA) benchmarks. However, their robustness against textual misinform…

cs.CL2025

SWAA: Sliding Window Attention Adaptation for Efficient and Quality Preserving Long Context Processing

Yijiong Yu, Jiale Liu, Qingyun Wu +2

The quadratic complexity of self attention in Transformer based LLMs renders long context inference prohibitively expensive. While Sliding Window Attention (SWA), the simplest spar…

cs.CL2025

Divide, Optimize, Merge: Fine-Grained LLM Agent Optimization at Scale

Jiale Liu, Yifan Zeng, Shaokun Zhang +5

LLM-based optimization has shown remarkable potential in enhancing agentic systems. However, the conventional approach of prompting LLM optimizer with the whole training trajectori…

cs.CL2024

Memory-Augmented Agent Training for Business Document Understanding

Jiale Liu, Yifan Zeng, Malte Højmark-Bertelsen +3

Traditional enterprises face significant challenges in processing business documents, where tasks like extracting transport references from invoices remain largely manual despite t…

cs.CL2024

Assessing and Verifying Task Utility in LLM-Powered Applications

Negar Arabzadeh, Siqing Huo, Nikhil Mehta +5

The rapid development of Large Language Models (LLMs) has led to a surge in applications that facilitate collaboration among multiple agents, assisting humans in their daily tasks.…