• Abstract Peer review is stressed by rapidly rising submission volumes, leading to deteriorating review quality and increased author dissatisfaction. • Here, to address these issu
• Abstract Optimizing molecular resource utilization for molecular discovery requires collaborative efforts across research institutions and organizations to accelerate progress. •
• Explores how to embed action modules into vision‑language models for robotic manipulation. • Evaluates 8 VLM backbones and 4 policy architectures across 600 experiments. • Identi
• LLMs generate empathic responses, but reliability of judging empathy remains unclear. • Study compares expert, crowdworker, and LLM annotations across four psychological framewor
• Abstract Deep learning foundation models are becoming increasingly popular for use in bioactivity prediction. • Recently, Feng et al. • developed ActFound, a bioactive foundation
• Abstract With the growing pervasiveness of pretrained protein language models (pLMs), pLM-based methods are increasingly being put forward for the protein-protein interaction (PP
• Abstract Transforming continuous acoustic speech signals into discrete linguistic meaning is a remarkable computational feat accomplished by both the human brain and modern artif
• Science Robotics, Volume 11, Issue 111, February 2026. • Science Robotics, Volume 11, Issue 111, February 2026.
• Science Robotics, Volume 11, Issue 111, February 2026. • Science Robotics, Volume 11, Issue 111, February 2026.
• Science Robotics, Volume 11, Issue 111, February 2026. • Science Robotics, Volume 11, Issue 111, February 2026.
• Science Robotics, Volume 11, Issue 111, February 2026. • Science Robotics, Volume 11, Issue 111, February 2026.
• Science Robotics, Volume 11, Issue 111, February 2026. • Science Robotics, Volume 11, Issue 111, February 2026.
• Abstract Artificial intelligence can solve complex scientific problems beyond human capabilities, but the resulting solutions offer little insight into the underlying physical pr
• Abstract Deep learning models are usually trained with stochastic gradient descent-based algorithms, but these optimizers face inherent limitations, such as slow convergence and
• Basics 2 Breakthroughs: Optimizing Materials for Next-Generation Microelectronics Video Microelectronics The tiny microchips that power modern technologies are already an impress
• Friday, February 20, 2026 Swartz Center strengthened CMU’s Silicon Valley connections at Lab to Market investor summit Carnegie Mellon University, already deeply embedded in Sili
• CMU’s Robotics Innovation Center Secures FieldAI as Inaugural Corporate Tenant Share on Facebook (opens in new window) Share on X (opens in new window) Share on LinkedIn (opens i
• Computer Science > Machine Learning [Submitted on 6 Feb 2026] Title:Agentic Unlearning: When LLM Agent Meets Machine Unlearning View PDF HTML (experimental)Abstract:In this paper
• Students rely on LLMs, hallucinations threaten learning accuracy. • Survey of 63 students revealed common hallucination types: fabricated citations, false facts, overconfidence.
• Computer Science > Artificial Intelligence [Submitted on 20 Feb 2026] Title:Alignment in Time: Peak-Aware Orchestration for Long-Horizon Agentic Systems View PDF HTML (experiment
• Computer Science > Human-Computer Interaction [Submitted on 11 Jan 2026] Title:Assessing LLM Response Quality in the Context of Technology-Facilitated Abuse View PDF HTML (experi
• BioBridge fuses protein language models with general LLMs to enhance biological reasoning across diverse tasks. • Domain-Incremental Continual Pre‑Training (DICP) injects domain
• Computer Science > Machine Learning [Submitted on 4 Feb 2026] Title:CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models View PDF HTML (
• Computer Science > Artificial Intelligence [Submitted on 20 Feb 2026] Title:Cross-Embodiment Offline Reinforcement Learning for Heterogeneous Robot Datasets View PDF HTML (experi
• Computer Science > Machine Learning [Submitted on 5 Feb 2026] Title:Curriculum Learning for Efficient Chain-of-Thought Distillation via Structure-Aware Masking and GRPO View PDF
• Computer Science > Graphics [Submitted on 6 Feb 2026] Title:DesignAsCode: Bridging Structural Editability and Visual Fidelity in Graphic Design Generation View PDF HTML (experime
• Computer Science > Artificial Intelligence [Submitted on 20 Feb 2026] Title:Diffusing to Coordinate: Efficient Online Multi-Agent Diffusion Policies View PDF HTML (experimental)A
• Computer Science > Human-Computer Interaction [Submitted on 12 Jan 2026] Title:Digital self-Efficacy as a foundation for a generative AI usage framework in faculty’s professional
• Computer Science > Machine Learning [Submitted on 4 Feb 2026] Title:Duality Models: An Embarrassingly Simple One-step Generation Paradigm View PDF HTML (experimental)Abstract:Con
• Computer Science > Artificial Intelligence [Submitted on 19 Feb 2026] Title:El Agente Gráfico: Structured Execution Graphs for Scientific Agents View PDFAbstract:Large language m
• Computer Science > Artificial Intelligence [Submitted on 27 Jan 2026] Title:Epistemic Traps: Rational Misalignment Driven by Model Misspecification View PDF HTML (experimental)Ab
• Computer Science > Human-Computer Interaction [Submitted on 8 Jan 2026] Title:Evaluating Text-based Conversational Agents for Mental Health: A Systematic Review of Metrics, Metho
• Computer Science > Machine Learning [Submitted on 4 Feb 2026] Title:Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Opt
• Computer Science > Machine Learning [Submitted on 4 Feb 2026] Title:LATMiX: Learnable Affine Transformations for Microscaling Quantization of LLMs View PDF HTML (experimental)Abs
• Computer Science > Human-Computer Interaction [Submitted on 21 Jan 2026] Title:Lost Before Translation: Social Information Transmission and Survival in AI-AI Communication View P
• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 26 Jan 2026] Title:Mind the Boundary: Stabilizing Gemini Enterprise A2A via a Cloud Run Hub Across P
• Computer Science > Artificial Intelligence [Submitted on 20 Feb 2026] Title:Neurosymbolic Language Reasoning as Satisfiability Modulo Theory View PDF HTML (experimental)Abstract:
• Computer Science > Artificial Intelligence [Submitted on 19 Feb 2026] Title:Ontology-Guided Neuro-Symbolic Inference: Grounding Language Models with Mathematical Domain Knowledge
• Computer Science > Machine Learning [Submitted on 4 Feb 2026] Title:Optimal Multi-Debris Mission Planning in LEO: A Deep Reinforcement Learning Approach with Co-Elliptic Transfer
• Probabilistic NDVI forecasting tackles sparse, irregular satellite data due to cloud cover. • Transformer architecture separates historical NDVI dynamics from future weather cova
• Computer Science > Machine Learning [Submitted on 28 Jan 2026] Title:Reducing Text Bias in Synthetically Generated MCQAs for VLMs in Autonomous Driving View PDF HTML (experimenta
• Computer Science > Machine Learning [Submitted on 6 Feb 2026] Title:Robust Pre-Training of Medical Vision-and-Language Models with Domain-Invariant Multi-Modal Masked Reconstruct
• Computer Science > Artificial Intelligence [Submitted on 20 Feb 2026] Title:SOMtime the World Ain$’$t Fair: Violating Fairness Using Self-Organizing Maps View PDF HTML (experimen
• Computer Science > Human-Computer Interaction [Submitted on 8 Jan 2026] Title:The Dark Side of Dark Mode – User behaviour rebound effects and consequences for digital energy con
• Computer Science > Artificial Intelligence [Submitted on 19 Feb 2026] Title:The Token Games: Evaluating Language Model Reasoning with Puzzle Duels View PDF HTML (experimental)Abs
• IARPA TrojAI program tackles AI trojan backdoor vulnerability in modern AI systems. • Found detection via weight analysis and trigger inversion techniques to identify hidden back
• Computer Science > Human-Computer Interaction [Submitted on 5 Jan 2026] Title:Visual Interface Workflow Management System Strengthening Data Integrity and Project Tracking in Com
• Computer Science > Information Retrieval [Submitted on 17 Dec 2025] Title:When & How to Write for Personalized Demand-aware Query Rewriting in Video Search View PDF HTML (experim
• Computer Science > Artificial Intelligence [Submitted on 20 Feb 2026] Title:WorkflowPerturb: Calibrated Stress Tests for Evaluating Multi-Agent Workflow Metrics View PDF HTML (ex
• Abstract Optimizing molecular resource utilization for molecular discovery requires collaborative efforts across research institutions and organizations to accelerate progress. •
• Abstract To utilize foundation vision-language models (VLMs) for robotic tasks and motion planning, the community has proposed different methods for injecting action components i
• Abstract Large language models (LLMs) excel at generating empathic responses in text-based conversations. • But, how reliably do they judge the nuances of empathic communication?
• Abstract Deep learning foundation models are becoming increasingly popular for use in bioactivity prediction. • Recently, Feng et al. • developed ActFound, a bioactive foundation
• Abstract With the growing pervasiveness of pretrained protein language models (pLMs), pLM-based methods are increasingly being put forward for the protein-protein interaction (PP
• Abstract Transforming continuous acoustic speech signals into discrete linguistic meaning is a remarkable computational feat accomplished by both the human brain and modern artif
• Science Robotics, Volume 11, Issue 111, February 2026.
• Abstract Artificial intelligence can solve complex scientific problems beyond human capabilities, but the resulting solutions offer little insight into the underlying physical pr
• Science Robotics, Volume 11, Issue 111, February 2026.
• Science Robotics, Volume 11, Issue 111, February 2026.
• Science Robotics, Volume 11, Issue 111, February 2026.