A Rate-Distortion Framework for Black-Box Language Models

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

A Rate-Distortion Framework for Black-Box Language Models
[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

A Rate-Distortion Framework for Black-Box 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

A Rate-Distortion Framework for Black-Box Language Models
[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

A Rate-Distortion Framework for Black-Box Language Models
[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

A Rate-Distortion Framework for Black-Box Language Models
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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[2412.04787] Direct Quantized Training of Language Models with Stochastic Rounding

A Rate-Distortion Framework for Black-Box 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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Democratized LLM Scaling for A Large Model Zoo in the Wild

A Rate-Distortion Framework for Black-Box Language Models
[Submitted on 7 Oct 2024 (v1), last revised 5 Dec 2024 (this version, v2)] Authors:Xinyu Zhao, Guoheng Sun, Ruisi Cai, ...
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[2407.02820] Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic Changes

A Rate-Distortion Framework for Black-Box Language Models
[Submitted on 3 Jul 2024 (v1), last revised 3 Dec 2024 (this version, v2)] View a PDF of the paper ...
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[2311.17696] How to Build an AI Tutor that Can Adapt to Any Course and Provide Accurate Answers Using Large Language Model and Retrieval-Augmented Generation

A Rate-Distortion Framework for Black-Box Language Models
[Submitted on 29 Nov 2023 (v1), last revised 4 Dec 2024 (this version, v4)] View a PDF of the paper ...
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