Tactile-JEPA: Topology-Aware Self-Supervised Representation Learning for Distributed Tactile Sensors
Tactile sensing is an essential modality for robots performing contact-rich, dexterous manipulation, particularly und...
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Tactile sensing is an essential modality for robots performing contact-rich, dexterous manipulation, particularly und...
Large-scale Digital Surface Models (DSMs) can be produced cost-effectively from satellite images via stereo-photogram...
Standard positional encodings represent position as a one-dimensional reading-order coordinate, but reading order alo...
Banking assistants must use account-specific information to answer requests and, in many cases, take actions through ...
Detectors of alignment failures screen deployed language models and score alignment benchmarks. Most are generative j...
While Large Language Models (LLMs) rely on highly non-linear components, in this work we demonstrate that they exhibi...
Recent years have witnessed major progress in joint audio-video generation. Existing models still suffer from limited...
In this paper, we propose RGBD20K, a novel dataset for facilitating the development of more robust and general RGB-D ...
Recently, Large Language Models (LLMs) have been increasingly able to solve advanced mathematical problems, including...
Long-horizon reasoning remains a central challenge for large language models (LLMs) under sparse-reward regimes. We a...
Scientific discovery begins where known problems end. There, AI systems must engage in exploration: framing hypothese...
Large language model (LLM)-based clinical assistants are increasingly being integrated into electronic health record ...