arXiv:2405.17838v2 Announce Type: replace-cross Abstract: Socio-linguistic indicators of affectively-relevant phenomena, such as emotion or sentiment, are often extracted from text to better understand features of human-computer interactions, including on social media. However, an indicator that is often overlooked is the presence or absence of information concerning harms or hazards. Here, we develop a new model […]
Bridging the Semantic Gap: Contrastive Rewards for Multilingual Text-to-SQL with GRPO
arXiv:2510.13827v2 Announce Type: replace-cross Abstract: Current Text-to-SQL methods are evaluated and only focused on executable queries, overlooking the semantic alignment challenge — both in terms of the semantic meaning of the query and the correctness of the execution results. Even execution accuracy itself shows significant drops when moving from English to other languages, with an […]
Text-guided multi-property molecular optimization with a diffusion language model
arXiv:2410.13597v3 Announce Type: replace-cross Abstract: Molecular optimization (MO) is a crucial stage in drug discovery in which task-oriented generated molecules are optimized to meet practical industrial requirements. Existing mainstream MO approaches primarily utilize external property predictors to guide iterative property optimization. However, learning all molecular samples in the vast chemical space is unrealistic for predictors. […]
Leveraging CVAE for Joint Configuration Estimation of Multifingered Grippers from Point Cloud Data
arXiv:2511.17276v1 Announce Type: cross Abstract: This paper presents an efficient approach for determining the joint configuration of a multifingered gripper solely from the point cloud data of its poly-articulated chain, as generated by visual sensors, simulations or even generative neural networks. Well-known inverse kinematics (IK) techniques can provide mathematically exact solutions (when they exist) for […]
Sionna RT: Technical Report
arXiv:2504.21719v2 Announce Type: replace-cross Abstract: Sionna is an open-source, GPU-accelerated library that, as of version 0.14, incorporates a ray tracer, Sionna RT, for simulating radio wave propagation. A unique feature of Sionna RT is differentiability, enabling the calculation of gradients for the channel impulse responses (CIRs), radio maps, and other related metrics with respect to […]
Synthetic Object Compositions for Scalable and Accurate Learning in Detection, Segmentation, and Grounding
arXiv:2510.09110v3 Announce Type: replace-cross Abstract: Visual grouping — operationalized through tasks such as instance segmentation, visual grounding, and object detection — enables applications ranging from robotic perception to photo editing. These fundamental problems in computer vision are powered by large-scale, painstakingly annotated datasets. Despite their impact, these datasets are costly to build, biased in coverage, […]
PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly
arXiv:2506.08708v2 Announce Type: replace-cross Abstract: While vision-language models (VLMs) have demonstrated promising capabilities in reasoning and planning for embodied agents, their ability to comprehend physical phenomena, particularly within structured 3D environments, remains severely limited. To close this gap, we introduce PhyBlock, a progressive benchmark designed to assess VLMs on physical understanding and planning through robotic […]
Range-Edit: Semantic Mask Guided Outdoor LiDAR Scene Editing
arXiv:2511.17269v1 Announce Type: cross Abstract: Training autonomous driving and navigation systems requires large and diverse point cloud datasets that capture complex edge case scenarios from various dynamic urban settings. Acquiring such diverse scenarios from real-world point cloud data, especially for critical edge cases, is challenging, which restricts system generalization and robustness. Current methods rely on […]
AgriChrono: A Multi-modal Dataset Capturing Crop Growth and Lighting Variability with a Field Robot
arXiv:2508.18694v2 Announce Type: replace-cross Abstract: Advances in AI and Robotics have accelerated significant initiatives in agriculture, particularly in the areas of robot navigation and 3D digital twin creation. A significant bottleneck impeding this progress is the critical lack of “in-the-wild” datasets that capture the full complexities of real farmland, including non-rigid motion from wind, drastic […]
A Small Math Model: Recasting Strategy Choice Theory in an LLM-Inspired Architecture
arXiv:2509.24068v2 Announce Type: replace-cross Abstract: Strategy Choice Theory (SCT; Siegler and Shrager, 1984; Siegler, 2000) explains important aspects of children’s arithmetic learning based upon principles including learning from developmentally naturalistic data, probabilistic representation, confidence-based retrieval, and the phase-like importance of scaffolding strategies, such as finger-counting. Here we recast SCT as a “Small Math Model” (SMM), […]