Provide.ai https://validator.w3.org/feed/docs/rss2.html Enhancing Scientific Discourse: Machine Translation for the Scientific Domain Data-driven Acceleration of MPC with Guarantees Features have life history. And we should care DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models A Framework for Evaluating Zero-Shot Image Generation in Concept-based Explainability Reinforcing Human Behavior Simulation via Verbal Feedback PRISM: A Benchmark for Programmatic Spatial-Temporal Reasoning Mechanistic Interpretability Needs Philosophy Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models Enabling Real-Time Colonoscopic Polyp Segmentation on Commodity CPUs via Ultra-Lightweight Architecture Dimensional Balance Improves Large Scale Spatiotemporal Prediction Performance ST-TGExplainer: Disentangling Stability and Transition Patterns for Temporal GNN Interpretability AgentAtlas: Beyond Outcome Leaderboards for LLM Agents Conflict-Resilient Multi-Agent Reasoning via Signed Graph Modeling Digital Voices of Survival: From Social Media Disclosures to Support Provisions for Domestic Violence Victims GenAI-FDIA: Physics-Informed Generative Models for False Data Injection Attacks Task-Routed Mixture-of-Experts with Cognitive Appraisal for Implicit Sentiment Analysis Learning Stable Predictors from Weak Supervision under Distribution Shift Robust Basis Spline Decoupling for the Compression of Transformer Models AVSD: Adaptive-View Self-Distillation by Balancing Consensus and Teacher-Specific Privileged Signals What and When to Distill: Selective Hindsight Distillation for Multi-Turn Agents HiDe: Rethinking The Zoom-IN method in High Resolution MLLMs via Hierarchical Decoupling Evaluating Speech Articulation Synthesis with Articulatory Phoneme Recognition Generative Auto-Bidding with Unified Modeling and Exploration HELLoRA: Hot Experts Layer-Level Low-Rank Adaptation for Mixture-of-Experts Models Fast and Featureless Node Representation Learning with Partial Pairwise Supervision Draw2Think: Harnessing Geometry Reasoning through Constraint Engine Interaction Pretraining Objective Matters in Extreme Low-Data FGVC: A Backbone-Controlled Study WARC-Bench: Web Archive Based Benchmark for GUI Subtask Executions The Extremum Stack is a Minimal Sufficient Statistic for Rate-Independent Functionals: A Kolmogorov Complexity Characterisation From Sparsity to Simplicity: Enabling Simpler Sequential Replacements via Sparse Attention Distillation Strategy-Induct: Task-Level Strategy Induction for Instruction Generation Beyond Mode Collapse: Distribution Matching for Diverse Reasoning Simply Stabilizing the Loop via Fully Looped Transformer Most Transformer Modifications Still Do Not Transfer at 1-3B: A 2020-2026 Update to Narang et al. (2021) with Downstream Evaluation and a Noise Floor Prompt2Fingerprint: Plug-and-Play LLM Fingerprinting via Text-to-Weight Generation PlantTraitNet: An Uncertainty-Aware Multimodal Framework for Global-Scale Plant Trait Inference from Citizen Science Data Stop Drawing Scientific Claims from LLM Social Simulations Without Robustness Audits FLUIDSPLAT: Reconstructing Physical Fields from Sparse Sensors via Gaussian Primitives Thinking-while-speaking: A Controlled, Interleaved Reasoning Method for Real-Time Speech Generation Attention-Guided Reward for Reinforcement Learning-based Jailbreak against Large Reasoning Models ReCrit: Transition-Aware Reinforcement Learning for Scientific Critic Reasoning Passive Construction Site Safety Monitoring via Persona-Scaffolded Adversarial Chain-of-Thought VLM Verification Block-Sphere Vector Quantization Playing Devil’s Advocate: Off-the-Shelf Persona Vectors Rival Targeted Steering for Sycophancy CutVerse: A Compositional GUI Agents Benchmark for Media Post-Production Editing Open-Set Domain Adaptation Under Background Distribution Shift: Challenges and A Provably Efficient Solution EVA-0: Test-Time Model Evolution with Only Two Forward Passes per Sample Memory Grafting: Scaling Language Model Pre-training via Offline Conditional Memory Position: The Turing-Completeness of Real-World Autoregressive Transformers Relies Heavily on Context Management