HuggingFace
Wake up for Touch! Mask-isolated Tactile Alignment Learning in MLLMs
Touch supplies the physical grounding needed to perceive intrinsic material properties, such as friction and complian...
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HuggingFace
AgentLens: Production-Assessed Trajectory Reviews for Coding Agent Evaluation
We present AgentLens, a production-assessed benchmark for interactive code agents. Most code-agent benchmarks reduce ...
HuggingFace
Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification
Accurate breast cancer classification from mammography requires effective integration of complementary information fr...
HuggingFace
OmniTacTune: Policy-Agnostic Real-World RL for Tactile Residual Adaptation of Visual Policies
Visual policies learned from human videos, teleoperation, and robot demonstrations offer scalable motion priors, but ...
HuggingFace
TESSERA v2: Scaling Pixel-wise Earth Foundation Models
Pixel-wise Earth-observation (EO) foundation models are now achieving state-of-the-art performance via generated spat...
HuggingFace
RoboTALES: Learning Reasoning-Guided Robot Policies via Task-Aligned Simulated Futures
Pretrained video generative models are promising backbones for visuomotor control, but their imagined futures often d...
arXiv
CARLA-GS: Decoupling Representation, Reasoning, and Physics Simulation for Autonomous Driving Corner-Case Synthesis
Safety evaluation for autonomous driving is dominated by rare, safety-critical interactions, motivating simulators th...
arXiv
Towards Agentic AI Governance: A Preliminary Assessment
Artificial intelligence is rapidly evolving from generative systems to agentic AI capable of autonomously planning an...
arXiv
Future Confidence Distillation in Large Language Models
Reliable confidence estimation is essential for deploying large language models (LLMs) in confidence-aware systems, w...
arXiv
QCNN with Rough Path Signature Kernels
Time series analysis plays a vital role across a wide range of scientific and engineering domains but poses substanti...
arXiv
ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation
Deep learning has significantly advanced time series imputation, yet most existing architectures primarily rely on lo...
arXiv
RL Post-Training Builds Compositional Reasoning Strategies
Does RL post-training merely amplify primitive skills already latent in a base model, or can it compose primitive ski...