MMGist: A Comprehensive Multimodal Benchmark for 2027
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Noticias de IA
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Words as Difference Makers: How Large Language Models Determine Causal Structure in Text
Large Language Model-Assisted Cleaning of Report-Derived Labels in a Large-Scale Chest CT…
DBT-Bleed: Dual-Branch Temporal Modeling with Key-Frame Selection for Surgical Bleeding D…
Bagpiper-TTS: Natural Language Guided Universal Speech Synthesis
Explainable AI for Mental Health Prediction in Drug-Affected Populations with Dragonfly A…
Noise is Signal: Density-Based Outliers as Leading Indicators of Occupational Emergence i…
Old Fictions, New Skins: Evaluating the Manipulative Capabilities of LLMs in Healthcare
Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning
Improving Engine Sound Analysis in Hot-Test Environments via a RAB-U-Net (Residual Attent…
Evolutionary Optimization Reveals Structural Constraints on Reservoir Architecture for Sp…
AI Fiction in the Wild
Subspace-Constrained Federated Learning with Low-Rank Adaptation
Beyond Simpson's Paradox: A Cascade of Confounders in AI Agent Pull-Request Co-Authorship
DSSCNet: A Transfer Learning Framework for Cross-Corpus Dysarthric Speech Severity Classi…
$\pi$-RAG: Oblivious Retrieval via Semantic Quantization and Transcendental Addressing fo…
TraceView: Interactive Visualization of Agentic Program Repair Trajectories
Plurification in/of language technology -- The integration of culture in next-generation …
Gradient-Descent Steps to Success over Mean Accuracy: A Paradigm Shift for ML
A Completion-Aware Framework for Impactful Counterfactual Explainability in Graph Neural …
Cohort-Anchored Foundation Models for Electronic Health Records: From Risk Scores to Audi…
The Language-Energy Divide: Measuring Energy Costs of Multilingual LLM Inference
CNnotator: LLM-Guided Memory Safety Annotation Synthesis
Steer, Don't Solve: Training Small Critic Models for Large Code Agents
Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning
HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Percept…
Imitation from Heterogeneous Demonstrations using Grounded Latent-Action World Models
FAST: A Framework for Aligned Sampling and Training in Parallel Reinforcement Learning fo…
The Unreasonable Effectiveness of VLMs for Zero-shot Procedural Mistake Detection
Memory Is No Longer a Bottleneck: Memory-Efficient Graph Filtering for Scalable Collabora…