Detect Before You Leap: Mirage Detection in Vision-Language Models
arXiv:2606.00435v2 Announce Type: replace-cross Abstract: Vision-language models (VLMs) can produce confident visual answers even when the required visual evidence is…
Upper Bounds on the Generalization Error of Deep Learning Models via Local Robustness and Stability
arXiv:2606.16883v1 Announce Type: cross Abstract: Generalization is a critical property of data-driven models, particularly deep learning models deployed in safety-critical…
daVinci-kernel: Co-Evolving Skill Selection, Summarization, and Utilization via RL for GPU Kernel Optimization
arXiv:2606.16497v1 Announce Type: cross Abstract: GPU kernel optimization represents a paradigm where functional correctness is assumed and execution efficiency is…
Sample from What You See: Visuomotor Policy Learning via Diffusion Bridge with Observation-Embedded Stochastic Differential Equation
arXiv:2512.07212v3 Announce Type: replace Abstract: Imitation learning with diffusion models has advanced robotic control by capturing the multi-modal action distributions.…
A Definition of Good Explanations and the Challenges Explaining LLM Outputs
arXiv:2606.14838v1 Announce Type: new Abstract: How to define a good explanation is a long-standing philosophical debate which has found recent…
When and How Severely: Scenario-Specific Safety Envelopes for Driving VLAs
arXiv:2606.14238v2 Announce Type: replace-cross Abstract: Safety certification of Vision-Language-Action (VLA) driving planners under ISO 21448 (SOTIF) rests on an Operational…
AuAu: A Benchmark for Auditing Authoritarian Alignment in Large Language Models
arXiv:2606.16127v1 Announce Type: cross Abstract: The worldwide surge of authoritarianism, combined with the increasing central role in users’ everyday lives,…
Scaling Adaptive Depth with Norm-Agnostic Residual Networks
arXiv:2606.16112v1 Announce Type: cross Abstract: Residual architectures are ubiquitous in deep learning, but they suffer from a subtle structural limitation:…
Implicit Reasoning for Large Language Model-based Generative Recommendation
arXiv:2606.14142v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are increasingly adopted as backbones for Generative Recommendation (GR), promising access…
A Deep Reinforcement Learning (DRL)-Based Transformer Method for Solving the Open Shop Scheduling Problem
arXiv:2606.13682v1 Announce Type: new Abstract: The open shop scheduling problem (OSSP) arises in many industrial and service settings but remains…