A Retrosynthesis-Guided Framework for Molecular Analog Generation
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A Retrosynthesis-Guided Framework for Molecular Analog Generation

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A Retrosynthesis-Guided Framework for Molecular Analog Generation
AI

Higher LLM Throughput using Larger Batch Sizes and KV Cache Compression

[Submitted on 7 Dec 2024 (v1), last revised 3 Jul 2025 (this version, v3)] View a PDF of the paper titled Batch-Max: Higher LLM Throughput using Larger Batch Sizes and KV Cache Compression, by Michael R. Metel and 2 other authors View PDF HTML (experimental) Abstract:Several works have developed eviction policies to remove key-value (KV)

A Retrosynthesis-Guided Framework for Molecular Analog Generation
AI

A Multi-Prompt Foundation Model for Multimodal Medical Data Generation

[Submitted on 8 Jan 2025 (v1), last revised 3 Jul 2025 (this version, v3)] View a PDF of the paper titled XGeM: A Multi-Prompt Foundation Model for Multimodal Medical Data Generation, by Daniele Molino and Francesco Di Feola and Eliodoro Faiella and Deborah Fazzini and Domiziana Santucci and Linlin Shen and Valerio Guarrasi and Paolo

A Retrosynthesis-Guided Framework for Molecular Analog Generation
AI

Subtyping in DHOL — Extended preprint

arXiv:2507.02855v1 Announce Type: cross Abstract: The recently introduced dependent typed higher-order logic (DHOL) offers an interesting compromise between expressiveness and automation support. It sacrifices the decidability of its type system in order to significantly extend its expressiveness over standard HOL. Yet it retains strong automated theorem proving support via a sound and complete translation to

A Retrosynthesis-Guided Framework for Molecular Analog Generation
AI

[2212.05050] The unstable formula theorem revisited via algorithms

[Submitted on 9 Dec 2022 (v1), last revised 2 Jul 2025 (this version, v3)] View a PDF of the paper titled The unstable formula theorem revisited via algorithms, by Maryanthe Malliaris and 1 other authors View PDF HTML (experimental) Abstract:This paper is about the surprising interaction of a foundational result from model theory, about stability

A Retrosynthesis-Guided Framework for Molecular Analog Generation
AI

[2412.11074] Adapter-Enhanced Semantic Prompting for Continual Learning

[Submitted on 15 Dec 2024 (v1), last revised 3 Jul 2025 (this version, v3)] View a PDF of the paper titled Adapter-Enhanced Semantic Prompting for Continual Learning, by Baocai Yin and 7 other authors View PDF HTML (experimental) Abstract:Continual learning (CL) enables models to adapt to evolving data streams. A major challenge of CL is

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