StructBreak: Structural Cognitive Overload-Induced Safety Failures in MLLMs
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WorkOS Releases auth.md: An Open Agent Registration Protocol Built on OAuth Standards
Guided Flow Matching for Forward and Inverse PDE Problems with Sparse Observations: Algor…
Full-4D: Generating Full-Scope 4D Scenes from a Single-View Video
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators
SoftBank Shares Hit Record With Lift From OpenAI IPO Hopes
EXPO-FT: Sample-Efficient Reinforcement Learning Finetuning for Vision-Language-Action Mo…
JacQuant: STE-Free Quantization-Aware Training via Learned Jacobian Surrogates
From Simulation to Enaction: Post-trained language models recognize and react to their ow…
SomaliBench Eval: Measuring English-to-Somali Refusal Gaps in Open-Weight Language Models
Capture-Calibrate-Coach: A Graph-Based Framework for Knowledge Monitoring Estimation and …
AI Rally Drives Best Run in Global Momentum Stocks on Record
SUDP: Secret-Use Delegation Protocol for Agentic Systems
LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws
Interactive Query Answering on Knowledge Graphs with Soft Entity Constraints
Representation over Routing: Overcoming Surrogate Hacking in Multi-Timescale PPO
Visually-Guided Policy Optimization for Multimodal Reasoning
Safe Reinforcement Learning with Preference-based Constraint Inference
Ax-Prover: A Deep Reasoning Agentic Framework for Theorem Proving in Mathematics and Quan…
Do Language Models Know What Not to Say? Causal Evidence for Statistical Preemption in LL…
Anatomy-Guided Vision-Language Learning with Angular Prototype Separation for Multi-Label…
VideoTemp-o3: Harmonizing Temporal Grounding and Video Understanding in Agentic Thinking-…
MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchest…
ALIVE: Awakening LLM Reasoning via Adversarial Learning and Instructive Verbal Evaluation
Uncovering the Latent Potential of Deep Intermediate Representations
VACE: Learning Geometrically Structured Representations for Time Series Anomaly Detection
Classical State Preparation for Variational Quantum Algorithms via Reinforcement Learning
A Systematic Evaluation of Co-folding Model Representations for Small-Molecule Learning
Understanding Task Aggregation for Generalizable Ultrasound Foundation Models
On the Infinite Width and Depth Limits of Predictive Coding Networks