Unveiling the Fragility of Vision-Language Models: Multi-Modal Adversarial Synergy via Te…
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Noticias de IA
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Inference-Time Search Using Side Information for Diffusion-Based Image Reconstruction
Elias in the Lighthouse, Again? Diagnosing Low Diversity in LLM Stories
Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient
Comparative Study of Vision-Based Metric Measurement for Large-Scale Planar Scenes
HiSpec: Hierarchical Speculative Decoding for LLMs
EconCausal: A Context-Aware Economic Reasoning Benchmark for Large Language Models
DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection
Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation
Mechanistic Interpretability of Antibody Language Models Using SAEs
SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge…
Seeing vs. Believing: Evaluating the Language Bias of Open-Source MLLMs in Counter-Intuit…
The AI Cognitive Trojan Horse: How Large Language Models May Bypass Human Epistemic Vigil…
Confounder Detection via Treatment Intent: A New Observational Study Design
Plans for Evaluating Structured Generative Search Summaries
Left-Right Symmetry Breaking in CLIP-style Vision-Language Models Trained on Synthetic Sp…
GraphDancer: Training LLMs to Explore and Reason over Graphs via Two-Stage Curriculum Pos…
Constructing Industrial-Scale Optimization Modeling Benchmark
VisualNeedle: Benchmarking Active Visual Search in Information-Dense Scenes
BioFact-MoE: Biologically Factorized Mixture of Experts for Vision-Language Prognostic Mo…
Adapting Actively on the Fly: Relevance-Guided Online Meta-Learning with Latent Concepts …
Your Agents Are Aging Too: Agent Lifespan Engineering for Deployed Systems
Experiments in Agentic AI for Science
Persona2Web: Benchmarking Personalized Web Agents for Contextual Reasoning with User Hist…
GICDM: Mitigating Hubness for Reliable Distance-Based Generative Model Evaluation
Geometrically Constrained Outlier Synthesis
Belief-Sim: Towards Belief-Driven Simulation of Demographic Misinformation Susceptibility
When Correct Demonstrations Hurt: Rethinking the Role of Exemplars in In-Context Learning
Stop Listening to Me! How Multi-turn Conversations Can Degrade LLM Reliability
FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-…