[2411.07404] Controllable Context Sensitivity and the Knob Behind It
![[2411.07404] Controllable Context Sensitivity and the Knob Behind It](https://i1.wp.com/arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png?ssl=1 "[2411.07404] Controllable Context Sensitivity and the Knob Behind It"){kind=logo}
[Submitted on 11 Nov 2024 (v1), last revised 30 May 2025 (this version, v4)] View a PDF of the paper ...
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Exploring Long-Context Capability of Large Language Models towards Long-Structured Tables
[Submitted on 9 Apr 2025 (v1), last revised 29 May 2025 (this version, v2)] View a PDF of the paper ...
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Egocentric Biochemical Vision-and-Language Dataset Using Micro QR Codes
[Submitted on 4 Apr 2024 (v1), last revised 29 May 2025 (this version, v3)] Authors:Tomohiro Nishimoto, Taichi Nishimura, Koki Yamamoto, ...
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A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models
[Submitted on 27 May 2025 (v1), last revised 28 May 2025 (this version, v2)] View a PDF of the paper ...
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the Benefit of Memory in Exemplar-Guided Reflection
[Submitted on 12 Nov 2024 (v1), last revised 27 May 2025 (this version, v2)] View a PDF of the paper ...
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[2503.09598] How to Protect Yourself from 5G Radiation? Investigating LLM Responses to Implicit Misinformation
[Submitted on 12 Mar 2025 (v1), last revised 27 May 2025 (this version, v2)] View a PDF of the paper ...
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Modeling Social AI for Content Dissemination and Regulation in Multi-Agent Simulations
[Submitted on 10 Apr 2025 (v1), last revised 26 May 2025 (this version, v2)] View a PDF of the paper ...
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A Foundation Tabular Model With Semantically Target-Aware Representations
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals ...
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HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoning
arXiv:2505.17645v1 Announce Type: cross Abstract: Embodied agents operating in smart homes must understand human behavior through diverse sensory inputs and ...
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A Unified Framework for Document Parsing Tasks
[Submitted on 17 Dec 2024 (v1), last revised 22 May 2025 (this version, v2)] View a PDF of the paper ...
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