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arXiv:2511.18729v3 Announce Type: replace Abstract: Driving planning is a critical component of end-to-end (E2E) autonomous driving. However, prevailing Imitative E2E Planners often suffer from multimodal...
arXiv:2511.18943v2 Announce Type: replace Abstract: Standard Virtual Element Methods (VEM) are based on polynomial projections and require a stabilization term to evaluate the contribution of...
arXiv:2511.18945v3 Announce Type: replace Abstract: We propose a fully data-driven approach to designing mutual information (MI) estimators. Since any MI estimator is a function of...
arXiv:2511.20564v2 Announce Type: replace Abstract: Graph Neural Networks (GNNs) have emerged as powerful tools for modeling graph-structured data and have been widely used in recommender...
arXiv:2511.20629v4 Announce Type: replace Abstract: Reinforcement learning from human feedback (RLHF) with reward models has advanced alignment of generative models to human aesthetic and perceptual...
arXiv:2511.20648v2 Announce Type: replace Abstract: To act in the world, a model must name what it sees and know where it is in 3D. Today's...
arXiv:2511.21285v2 Announce Type: replace Abstract: Despite the state-of-the-art performance of Large Language Models (LLMs) achieved on many tasks, their massive scale often leads to high...
arXiv:2511.22185v2 Announce Type: replace Abstract: Reasonable pricing of data products enables data trading platforms to maximize revenue and foster the growth of the data trading...
arXiv:2511.22416v2 Announce Type: replace Abstract: The advent of quantum computing threatens classical cryptographic mechanisms, demanding new strategies for securing communication networks. Since real-world networks cannot...
arXiv:2512.00081v4 Announce Type: replace Abstract: We introduce Pure Recursive Calculi (PRC): finite, operator-only rewrite calculi with no variable binding, no external memory, no imported axioms,...
arXiv:2512.00403v2 Announce Type: replace Abstract: Scientific discovery increasingly entails long-horizon exploration of complex hypothesis spaces, yet most existing approaches emphasize final performance while offering limited...
arXiv:2512.00672v2 Announce Type: replace Abstract: The development of autonomous machine learning (ML) agents capable of end-to-end data science workflows represents a significant frontier in artificial...
arXiv:2512.01149v2 Announce Type: replace Abstract: Predictive maintenance in manufacturing environments presents a challenging optimization problem characterized by extreme cost asymmetry, where missed failures incur costs...
arXiv:2512.01356v2 Announce Type: replace Abstract: Code review is critical for ensuring software quality and maintainability. With the rapid growth in software scale and complexity, code...
arXiv:2512.01809v3 Announce Type: replace Abstract: Generative models, like flows and diffusions, have recently emerged as popular and efficacious policy parameterizations in robotics. There has been...
arXiv:2512.02189v2 Announce Type: replace Abstract: As GPU architectures rapidly evolve to meet the growing demands of exascale computing and machine learning, the performance implications of...
arXiv:2512.02700v3 Announce Type: replace Abstract: Vision-language models (VLMs) excel at image understanding tasks, but the large number of visual tokens imposes significant computational costs, hindering...
arXiv:2512.02764v2 Announce Type: replace Abstract: Parameter-Efficient Fine-Tuning (PEFT) methods address the increasing size of Large Language Models (LLMs). Currently, many newly introduced PEFT methods are...
arXiv:2512.02817v2 Announce Type: replace Abstract: The globalization of education and rapid growth of online learning have made localizing educational content a critical challenge. Lecture materials...
arXiv:2512.02840v2 Announce Type: replace Abstract: Prompt optimization has become crucial for enhancing the performance of large language models (LLMs) across a broad range of tasks....
arXiv:2512.03688v2 Announce Type: replace Abstract: We present AITutor-EvalKit, an application that uses language technology to evaluate the pedagogical quality of AI tutors, provides software for...
arXiv:2512.04316v3 Announce Type: replace Abstract: Web privacy is experienced via two public artifacts: site utterances in policy texts, and the actions users are required to...
arXiv:2512.05016v2 Announce Type: replace Abstract: We present GNVC-VD, the first DiT-based generative neural video compression framework built upon an advanced video generation foundation model, where...
arXiv:2512.05571v2 Announce Type: replace Abstract: Accurate spatial correspondence between medical images is essential for longitudinal analysis, lesion tracking, and image-guided interventions. Medical image registration methods...