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20232026
most citedLarge Language Model based Multi-Agents: A Survey of Progress and Challenges

68 citations · 72 across the 12 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CL2024

Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models

Lang Gao, Jiahui Geng, Xiangliang Zhang +2

Jailbreaking in Large Language Models (LLMs) is a major security concern as it can deceive LLMs to generate harmful text. Yet, there is still insufficient understanding of how jail…

cs.CV2024

AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?

Han Bao, Yue Huang, Yanbo Wang +7

Large Vision-Language Models (LVLMs) have become essential for advancing the integration of visual and linguistic information. However, the evaluation of LVLMs presents significant…

cs.CL2024★ 1 cited

ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering

Xiuying Chen, Tairan Wang, Taicheng Guo +7

Question Answering (QA) effectively evaluates language models' reasoning and knowledge depth. While QA datasets are plentiful in areas like general domain and biomedicine, academic…

cs.SD2024

Advanced Framework for Animal Sound Classification With Features Optimization

Qiang Yang, Xiuying Chen, Changsheng Ma +2

The automatic classification of animal sounds presents an enduring challenge in bioacoustics, owing to the diverse statistical properties of sound signals, variations in recording…

cs.CL2024

Multi-Intent Attribute-Aware Text Matching in Searching

Mingzhe Li, Xiuying Chen, Jing Xiang +6

Text matching systems have become a fundamental service in most searching platforms. For instance, they are responsible for matching user queries to relevant candidate items, or re…

cs.CL2024★ 68 cited

Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Taicheng Guo, Xiuying Chen, Yaqi Wang +5

Large Language Models (LLMs) have achieved remarkable success across a wide array of tasks. Due to the impressive planning and reasoning abilities of LLMs, they have been used as a…