Investigating Temporal Vulnerabilities in LLMs

Investigating Temporal Vulnerabilities in LLMs
[Submitted on 4 Jul 2024 (v1), last revised 23 Dec 2024 (this version, v3)] View a PDF of the paper ...
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The Task Shield: Enforcing Task Alignment to Defend Against Indirect Prompt Injection in LLM Agents

Investigating Temporal Vulnerabilities in LLMs
arXiv:2412.16682v1 Announce Type: cross Abstract: Large Language Model (LLM) agents are increasingly being deployed as conversational assistants capable of performing ...
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MORTAR: Metamorphic Multi-turn Testing for LLM-based Dialogue Systems

Investigating Temporal Vulnerabilities in LLMs
arXiv:2412.15557v1 Announce Type: cross Abstract: With the widespread application of LLM-based dialogue systems in daily life, quality assurance has become ...
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[2403.17196] Text Understanding in GPT-4 vs Humans

Investigating Temporal Vulnerabilities in LLMs
[Submitted on 25 Mar 2024 (v1), last revised 20 Dec 2024 (this version, v3)] View a PDF of the paper ...
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A Rate-Distortion Framework for Black-Box Language Models

Investigating Temporal Vulnerabilities in LLMs
[Submitted on 22 Jul 2024 (v1), last revised 11 Dec 2024 (this version, v2)] View a PDF of the paper ...
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Benchmarking and Enhancing Multimodal Models on Visual Illusions

Investigating Temporal Vulnerabilities in LLMs
[Submitted on 11 Dec 2024] View a PDF of the paper titled Illusory VQA: Benchmarking and Enhancing Multimodal Models on ...
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Simulating Legislative System for Roll Call Votes Prediction with Large Language Models

Investigating Temporal Vulnerabilities in LLMs
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals ...
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Extreme Context Compression for Retrieval-augmented Generation with One Token

Investigating Temporal Vulnerabilities in LLMs
[Submitted on 22 May 2024 (v1), last revised 9 Dec 2024 (this version, v2)] View a PDF of the paper ...
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[2404.02657] Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models

Investigating Temporal Vulnerabilities in LLMs
[Submitted on 3 Apr 2024 (v1), last revised 8 Dec 2024 (this version, v4)] View a PDF of the paper ...
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Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models

Investigating Temporal Vulnerabilities in LLMs
arXiv:2412.05167v1 Announce Type: cross Abstract: Large Audio-Language Models (LALMs) have unclocked audio dialogue capabilities, where audio dialogues are a direct ...
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