HuggingFace
Safeguards Based on Copyable Context Cannot Provide Reliable Safety for LLMs
Large language model safeguards decide whether to answer before seeing how an answer will be used. This creates a bas...
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HuggingFace
SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift
RGB imagery offers a practical, low-cost option for Unmanned Aerial/Ground Vehicle (UAV/UGV) survey support in surfac...
HuggingFace
N_0-TWAM: Scaling Tactile-Native World-Action Model for Contact-Rich Manipulation
We present N_0-TWAM, a tactile-native world-action model for contact-rich manipulation that predicts both future visi...
HuggingFace
Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning
As large language models (LLMs) continue to advance in complex reasoning tasks, they have learned to heavily prioriti...
HuggingFace
ODEWorld: A Continuous Predictive Architecture via Physical-Time Flow
In the physical world we inhabit, space and time are fundamentally continuous. However, existing machine learning par...
HuggingFace
One Future, Every Robot: Label-Efficient Collective-State Prediction with Decentralized JEPA
Can every robot in a swarm predict the same future collective state from only local observations and bandwidth-limite...
HuggingFace
Mental World Modeling
World models enable a predictive substrate for planning and action, yet existing formulations merely answer a physica...
HuggingFace
Fewer Clarifications, Better Code: Benchmarking Cross-Session Personalized Ambiguity Adaptation in Coding Assistants
AI-assisted coding increasingly translates informal user intent into executable software, yet coding requests often c...
HuggingFace
Toward Robust and 3D-Aware RGB-NIR Imaging in the Dark
Robust low-light imaging remains challenging for the community. Recent studies have explored fusing Near-Infrared (NI...
HuggingFace
In the Driver's Seat: A Multi-Company Study on the Reality of Autonomous Driving System Testing
Autonomous driving systems (ADS) are rapidly advancing and increasingly deployed in real-world applications. This cre...
HuggingFace
SGTP: Sampling-based Game-Theoretic Planning for Real-Time Multi-Vehicle Autonomous Racing
Autonomous multi-vehicle racing requires real-time planning of diverse competitive behaviors in intense interactions....
HuggingFace
Not All Tokens Deserve Equal Credit: Counterfactual Sensitivity Credit Reallocation for Long-CoT Reasoning
Reinforcement learning with verifiable rewards (RLVR) is central to improving long-CoT reasoning in large language mo...