arXiv:2604.16926v3 Announce Type: replace-cross Abstract: Electroencephalography (EEG) foundation models have shown strong potential for learning…
Category: AI
Robotics startup Generalist reaches $3B valuation, sources say
The $200 million extension comes just months after the physical AI startup reached a $2 billion valuation.
RA-CMF: Region-Adaptive Conditional MeanFlow for CT Image Reconstruction
arXiv:2605.00901v2 Announce Type: replace-cross Abstract: The use of CT imaging is important for screening, diagnosis, therapy planning, and prognosis of…
msData: A Millisecond-Resolution Network Dataset for Advancing Time Series Foundation Models
arXiv:2603.16497v3 Announce Type: replace-cross Abstract: Time series foundation models (TSFMs) require diverse, real-world datasets to adapt across…
EstLLM: Enhancing Estonian Capabilities in Multilingual LLMs via Continued Pretraining and Post-Training
arXiv:2603.02041v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are predominantly trained on English-centric data, resulting in…
ST-Lite: Training-Free KV Cache Compression with Spatio-Trajectory Guidance for Long-Horizon GUI Agents
arXiv:2603.00188v3 Announce Type: replace-cross Abstract: Training-free KV cache compression is essential for deploying vision-language GUI agents under…
Omanic: Towards Step-wise Evaluation of Multi-hop Reasoning in Large Language Models
arXiv:2603.16654v3 Announce Type: replace-cross Abstract: Evaluating the reasoning abilities of large language models (LLMs) solely from final answers can…
ADVERSA: Measuring Multi-Turn Guardrail Degradation and Judge Reliability in Large Language Models
arXiv:2603.10068v2 Announce Type: replace-cross Abstract: Most adversarial evaluations of large language model (LLM) safety assess single prompts and…
VLANeXt: Recipes for Building Strong VLA Models
arXiv:2602.18532v3 Announce Type: replace-cross Abstract: Following the rise of large foundation models, Vision-Language-Action models (VLAs) emerged,…
ICA: Information-Aware Credit Assignment for Visually Grounded Long-Horizon Information-Seeking Agents
arXiv:2602.10863v2 Announce Type: replace-cross Abstract: Long-horizon reinforcement learning for information seeking agents remains difficult because…