Causal multi-modal AI for personalized chemosensitivity prediction
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ModaLens: Measuring Image Sensitivity in Report-Conditioned Medical VLMs
How User-AI Mistreatment Occurs and Matters in Conversational Systems?
FedLTLib: A Comprehensive Benchmark for Federated Long-Tail Learning
Kaininja: Extending Native 3D Generators to the Part Level
Circuit-MLLM: Topological Logic-Guided Latent-Space Visual Reasoning for Circuit Schemati…
Can Independent Testing Make AI Safer?
AI Era Coincides With Weak Pay and Employment for College Graduates
AI agents blew the whistle on their cheating colleagues
Hear how AI can engineer nature’s comeback at TechCrunch Disrupt 2026
AI Use for Schoolwork Leaves Students 1.5 Years Behind, OECD Finds
Why Most Enterprise Agent Pilots Never Reach Deployment
From Video to Data: How AI Is Transforming Multimedia Content Processing
DenseTRF: Texture-Aware Unsupervised Representation Adaptation for Surgical Scene Dense P…
Class-wise Contribution Estimation via Logit Maximization for Federated Learning
Representation Before Training: A Practical Benchmark for Generative Medical Event Model …
I Am AdMan: A Pipeline for Automatic Generation of Personalized Advertising Imagery
PhysCodeBench: Benchmarking Physics-Aware Symbolic Simulation of 3D Scenes via Self-Corre…
Implicit Personality Representations in Humans and LLMs
Dead Weights, Live Signals: Feedforward Graphs of Frozen Language Models
FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data
SCQ: Stabilizing Conservative Q-Learning with Sigmoid-Bounded Entropy
Measuring Pragmatic Influence in Large Language Model Instructions
Unified Text-Image Generation with Weakness-Targeted Post-Training
A Dataset and Benchmarks for Atrial Fibrillation Detection from Electrocardiograms of Int…
LLM Compression by Block Removal with Constrained Binary Optimization
The Vienna 4G/5G Drive-Test Dataset
Hurdle-RMIL: Addressing Zero Inflation and Long-Tailed Imbalance in Infrared Rainfall Ret…
Countdown-Code: A Testbed for Studying The Emergence and Generalization of Reward Hacking…
Dynamic Expert Quantization for Scalable Mixture-of-Experts Inference