A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
L. Ein-Dor, Orith Toledo-Ronen, Artem Spector, et al.
Proposes Conversational Prompt Engineering (CPE), a tool that uses chat interaction to help users create personalized, high-performing prompts for LLMs.
Beichen Zhang, Yuhang Zang, Xiao-wen Dong, et al.
Proposes Vision-Language Synergy Reasoning (VLSR) and Modality-Switch Self-Correction (MSSC) to improve abstract reasoning on ARC-AGI by combining visual abstraction with linguistic reasoning.
Yi Yu, Liuyi Yao, Yuexiang Xie, et al.
Proposes Agentic Memory (AgeMem), a unified framework integrating long-term and short-term memory management into LLM agent policy via tool-based actions and progressive reinforcement learning.
Nuo Chen, Yicheng Tong, Yuzhe Yang, et al.
This paper systematically studies diversity collapse in multi-agent LLMs, showing that interaction structures, not model insufficiency, primarily cause reduced exploration diversity.
Shigeru Kondo, Takashi Miura
This review explains the reaction-diffusion model as a framework for biological pattern formation, highlighting its relevance and applications in developmental biology.
Craig Knox, Mike Wilson, Christen M. Klinger, et al.
DrugBank 6.0 expands the gold-standard drug knowledgebase with 72% more FDA-approved drugs, 300% more drug-drug interactions, and rich spectral data for small molecules.
Jonghyun Lee, Dae Won Jun, Ildae Song, et al.
DLM-DTI uses a hint-based learning strategy to create a compact and efficient target encoder for drug-target interaction prediction, reducing VRAM usage to 7.7GB.
L. McCowan, Daniel Gática-Pérez, Samy Bengio, et al.
This paper proposes HMM-based models that capture interactions between participants from audiovisual features to recognize group actions in meetings.
Liang Hong, Xiao Sun, Yunlei Sun, et al.
This review outlines deep learning methods for automatic text feature extraction, contrasting them with traditional handcrafted approaches.
Luming Zhang, Yahong Han, Yi Yang, et al.
Proposes a recognition model that mines discriminative graphlets from aerial images to capture geometric properties and spatial interactions for category recognition.
Maryam M. Najafabadi, Flavio Villanustre, Taghi M. Khoshgoftaar, et al.
Explores how deep learning addresses big data analytics challenges like pattern extraction, semantic indexing, and scalability.
Jinlong Ru, Peng Li, Jinan Wang, et al.
TCMSP is a systems pharmacology database integrating pharmacochemistry, ADME properties, drug targets, diseases, and interaction networks for 499 Chinese herbs to accelerate drug discovery.