[2509.02077] From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach
![[2509.02077] From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach [2509.02077] From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach](https://i1.wp.com/arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png?ssl=1)
[Submitted on 2 Sep 2025 (v1), last revised 3 Sep 2025 (this version, v2)] View a PDF of the paper ...
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Bridging RNN Efficiency and Attention Accuracy via Chunk-based Sequence Modeling
![[2509.02077] From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach [2509.02077] From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach](https://i1.wp.com/arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png?ssl=1)
[Submitted on 6 Jul 2025 (v1), last revised 3 Sep 2025 (this version, v2)] View a PDF of the paper ...
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[2505.17067] Unveil Multi-Picture Descriptions for Multilingual Mild Cognitive Impairment Detection via Contrastive Learning
![[2509.02077] From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach [2509.02077] From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach](https://i1.wp.com/arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png?ssl=1)
[Submitted on 19 May 2025 (v1), last revised 3 Sep 2025 (this version, v5)] View a PDF of the paper ...
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[2503.12345] General Table Question Answering via Answer-Formula Joint Generation
![[2509.02077] From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach [2509.02077] From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach](https://i1.wp.com/arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png?ssl=1)
[Submitted on 16 Mar 2025 (v1), last revised 31 Aug 2025 (this version, v3)] View a PDF of the paper ...
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An efficiency principle shaping language processing
![[2509.02077] From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach [2509.02077] From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach](https://i1.wp.com/arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png?ssl=1)
[Submitted on 18 Mar 2025 (v1), last revised 29 Aug 2025 (this version, v2)] View a PDF of the paper ...
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[2508.16599] Humans Perceive Wrong Narratives from AI Reasoning Texts
![[2509.02077] From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach [2509.02077] From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach](https://i1.wp.com/arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png?ssl=1)
[Submitted on 9 Aug 2025 (v1), last revised 28 Aug 2025 (this version, v2)] View a PDF of the paper ...
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[2407.12680] Reducing Biases towards Minoritized Populations in Medical Curricular Content via Artificial Intelligence for Fairer Health Outcomes
![[2509.02077] From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach [2509.02077] From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach](https://i1.wp.com/arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png?ssl=1)
[Submitted on 21 May 2024 (v1), last revised 27 Aug 2025 (this version, v2)] View a PDF of the paper ...
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A Comprehensive Multilingual Safety Benchmark for Large Language Models
![[2509.02077] From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach [2509.02077] From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach](https://i1.wp.com/arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png?ssl=1)
[Submitted on 18 Aug 2025 (v1), last revised 27 Aug 2025 (this version, v2)] Authors:Zhiyuan Ning, Tianle Gu, Jiaxin Song, ...
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LLMs Can't Handle Peer Pressure: Crumbling under Multi-Agent Social Interactions
![[2509.02077] From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach [2509.02077] From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach](https://i1.wp.com/arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png?ssl=1)
arXiv:2508.18321v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed in multi-agent systems (MAS) as components of collaborative ...
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A Protocol-Driven Multi-Agent System for Intelligent Experience Entities
![[2509.02077] From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach [2509.02077] From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach](https://i1.wp.com/arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png?ssl=1)
Full-text links: Access Paper: View a PDF of the paper titled GoalfyMax: A Protocol-Driven Multi-Agent System for Intelligent Experience Entities, ...
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