Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness
[Submitted on 4 Nov 2024 (v1), last revised 28 Dec 2024 (this version, v2)] Authors:Fali Wang, Zhiwei Zhang, Xianren Zhang, ...
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[2412.16576] Open-Vocabulary Mobile Manipulation Based on Double Relaxed Contrastive Learning with Dense Labeling
[Submitted on 21 Dec 2024 (v1), last revised 24 Dec 2024 (this version, v2)] View a PDF of the paper ...
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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
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
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
[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
[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
[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
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
[Submitted on 22 May 2024 (v1), last revised 9 Dec 2024 (this version, v2)] View a PDF of the paper ...
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