Letting the Data Speak: Extracting Keywords from Crowdsourced Collections with AI
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Noticias de IA
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WILDTRACE: Benchmarking Natural Evidence Trails in Long-Context Reasoning
Deceptive Grounding: Entity Attribution Failure in Clinical Retrieval-Augmented Generation
Diversifying to Verify: When Task-Equivalent Programs Differ in Verifiability
STEEL: Sparsity-Aware Fused Attention for Energy-Efficient Long-Sequence Inference on AMD…
On-Device Adaptive Battery Power Prediction for Electric Vehicles
Self-Guided Test-Time Training for Long-Context LLMs
A Sovereign, Open-Source Foundation Model for German and English
Test-Time Scaling for Small VLMs on Multilingual Visual MCQ
Parameter-Efficient Vision-Language Adaptation with Continuous Metadata Conditioning for …
Decoupling Language Guidance from Backbones for Text-Guided Medical Segmentation
All Explanations are Wrong, But Many Are Useful: Exploring the Rashomon Explanation Set w…
What VGGT Knows About Overlap: Probing Geometric Foundation Models for Co-Visibility
Failure as a Process: An Anatomy of CLI Coding Agent Trajectories
ALICE: Learning a General-Purpose Pathology Foundation Model from Vision, Vision-Language…
Large-Scale Portfolio Optimization Problem Under Cardinality Constraint With Enhanced Mul…
4DR360: State Reasoning for Joint 3D Detection and Occupancy Prediction in 4D Radar-Camer…
VEXAIoT: Autonomous IoT Vulnerability EXploitation using AI Agents
Evolution of Accuracy and Visual-Cognitive Errors in a Decade of Vision-Language AI Models
PHINN-EEG: Topological Time-Series Analysis of Dream-State EEG -- Dynamic Betti Curves fo…
Beyond Black-Box Obfuscation: Mechanistic Analysis and Defense of White-Box Monitors
QAgent: An LLM-based Multi-Agent System for Autonomous OpenQASM programming
Beyond Embeddings: Interpretable Feature Extraction for Binary Code Similarity
Leveraging Multi-Agent System (MAS) and Fine-Tuned Small Language Models (SLMs) for Autom…
Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmenta…
PACE: A Personalized Adaptive Curriculum Engine for 9-1-1 Call-taker Training
Rectification Difficulty and Optimal Sample Allocation in LLM-Augmented Surveys
Towards Shutdownable Agents: Generalizing Stochastic Choice in RL Agents and LLMs
HiPO: Hierarchical Preference Optimization for Adaptive Reasoning in LLMs
Multi-Attribute Steering of Language Models via Targeted Intervention