[2405.06685] Multigenre AI-powered Story Composition
![[2405.06685] Multigenre AI-powered Story Composition](https://i0.wp.com/arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png?w=1200&resize=1200,700&ssl=1 "[2405.06685] Multigenre AI-powered Story Composition"){kind=logo}
[Submitted on 6 May 2024 (v1), last revised 14 Jan 2025 (this version, v2)] View a PDF of the paper ...
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[2410.12846] Accurate and Regret-aware Numerical Problem Solver for Tabular Question Answering
[Submitted on 10 Oct 2024 (v1), last revised 12 Jan 2025 (this version, v2)] View a PDF of the paper ...
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[2406.11629] Can Many-Shot In-Context Learning Help LLMs as Evaluators? A Preliminary Empirical Study
[Submitted on 17 Jun 2024 (v1), last revised 10 Jan 2025 (this version, v5)] View a PDF of the paper ...
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A Toolkit for Merging Large Language Models
[Submitted on 20 Mar 2024 (v1), last revised 9 Jan 2025 (this version, v3)] View a PDF of the paper ...
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a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
[Submitted on 2 Mar 2023 (v1), last revised 8 Jan 2025 (this version, v3)] Authors:Sheng Zhang, Yanbo Xu, Naoto Usuyama, ...
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A Synergistic Approach to Hypothesis Generation
[Submitted on 22 Oct 2024 (v1), last revised 8 Jan 2025 (this version, v3)] View a PDF of the paper ...
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A Computationally Efficient Framework for Chatbot Preference-Tuning
[Submitted on 15 Nov 2024 (v1), last revised 8 Jan 2025 (this version, v2)] View a PDF of the paper ...
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[2405.19519] Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study
[Submitted on 29 May 2024 (v1), last revised 7 Jan 2025 (this version, v2)] Authors:Sudeshna Das, Yao Ge, Yuting Guo, ...
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[2402.14746] Scaling Efficient LLMs
[Submitted on 22 Feb 2024 (v1), last revised 7 Jan 2025 (this version, v3)] View a PDF of the paper ...
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[2412.16926] Revisiting In-Context Learning with Long Context Language Models
[Submitted on 22 Dec 2024 (v1), last revised 6 Jan 2025 (this version, v2)] View a PDF of the paper ...
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