Predicting ligand activity across G protein-coupled receptors (GPCRs) requires models that capture both molecular structure and receptor-specific information while remaining robust to chemical and target-domain shifts. We developed a multimodal graph neural network that combines explicit ligand molecular graphs with fr...
Manashi De, Ekarsi Lodh, Shalini Majumder et al.· bioRxiv· 0 citations
Adaptive learning systems personalize instruction by tracking what each student knows and adjusting content to match their current knowledge state. Knowledge Tracing (KT) is the main technique used for this purpose. It has evolved from probabilistic models to deep learning architectures that use attention mechanisms to...
Mithara Fernandopulle, W. Gunathilake, Malshani Hettiarachchi et al.· Journal of Multidisciplinary...· 0 citations
(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0. Pipelines that claim to automate scientific discovery gate their search on a judgement that a proposed idea or problem is novel and worth pursuing. The best-controlled evidence on that judgement points two ways at once: in a blind study involving more than one hund...
Pranay M. Mahendrakar· Zenodo (CERN European Organi...· 0 citations
A frozen language model can be coupled to a frozen partner model through small trainable latent bridges, with no text at the interface: Furui [5] builds such a system around a physics partner, where the quantity being carried is a number the partner computes. This paper asks whether the same channel can carry a disposi...
Ryoji Furui· Zenodo (CERN European Organi...· 0 citations
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Smart home assistants must interpret commands ranging from explicit device control to underspecified and preference-dependent requests. Existing Large Language Model (LLM) smart home systems often use heavyweight reasoning pipelines and cloud deployment, limiting efficiency and suitability for resource-constrained envi...
Eu Jin Lim, Zhaoxing Li, Sebastian Stein· 0 citations
Knowledge edits to language models are usually validated after the fact. This paper studies the reverse contract: a closed-form certificate, computed before an edit is applied, of exactly which single-token edits can succeed on a frozen decoder-only language model with an additive gated memory. The certificate reduces...
Marius Dima· Zenodo (CERN European Organi...· 0 citations
Code, prompts, raw model outputs and analysis for the paper Detecting erroneous records in information extraction by small language models. Three local models (Qwen2.5-3B, Gemma 3 4B, Qwen2.5-7B in Ollama) turn 1000 MASSIVE en-US requests into JSON records. Each record gets an error score from rule-based validation, di...
Oleksandr Kholodniak· Zenodo (CERN European Organi...· 0 citations
Code, prompts, raw model outputs and analysis for the paper Detecting erroneous records in information extraction by small language models. Three local models (Qwen2.5-3B, Gemma 3 4B, Qwen2.5-7B in Ollama) turn 1000 MASSIVE en-US requests into JSON records. Each record gets an error score from rule-based validation, di...
Oleksandr Kholodniak· Zenodo (CERN European Organi...· 0 citations
The Intelligent Microbial Application Platform (IMicAP), an AI-driven, open-access, AI-powered microbial platform designed to bridge the gap between fragmented microbial data and actionable biological insights, is developed.
Chao-Yu Zhu, Xing Wang, Li-Hui Feng et al.· Frontiers in Microbiology· 0 citations
The United Nations sustainable development goals emphasize mental health as essential for inclusive and sustainable development, making stress, an important factor affecting well-being and societal participation, a critical area of study. Leveraging social media data, we propose the emotion-aware stress cause analysis...
Soumitra Ghosh, G. Singh, Khanjan Pathak et al.· IEEE Transactions on Computa...· 0 citations
This paper argues for SQEs as a complementary evaluation strategy for AI systems operating in dynamic, contested, and interdisciplinary settings and introduces small qualitative evaluations (SQEs) as a human-in-the-loop framework for assessing LLM performance in such less-bounded domains.
Michael Simeone, Jacki Hyatt, E. Bienenstock et al.· Neural computing & applicati...· 0 citations
This presentation introduces the emerging paradigm of multi-agentic AI in cybersecurity, where systems evolve from passive tools to autonomous decision-making entities. This explores the rise of agentic AI and its transformative impact on modern cybersecurity. As AI systems evolve from assistive tools into autonomous a...
Harsh Verma· Proceedings of the Raptors C...· 0 citations
