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arXiv:2601.17203v1 Announce Type: new Abstract: Modern models for common NLP tasks often employ machine learning techniques and train on journalistic, social media, or other culturally-derived...
arXiv:2601.17204v2 Announce Type: new Abstract: Small-molecule identification from tandem mass spectrometry (MS/MS) remains a bottleneck in untargeted settings where spectral libraries are incomplete. While deep...
arXiv:2601.17207v1 Announce Type: new Abstract: We introduce NewPINNs, a physics-informing learning framework that couples neural networks with conventional numerical solvers for solving differential equations. Rather...
arXiv:2601.17209v1 Announce Type: new Abstract: The work presented here investigates the application of polynomial chaos expansion toward input shaper design in order to maintain robustness...
arXiv:2601.17210v1 Announce Type: new Abstract: We propose a feedforward input-shaping framework with online parameter estimation for unknown second-order systems. The proposed approach eliminates the need...
arXiv:2601.17211v1 Announce Type: new Abstract: We adapt structural complexity analysis to three-dimensional signals, with an emphasis on brain magnetic resonance imaging (MRI). This framework captures...
arXiv:2601.17212v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) is a common technique for grounding language model outputs in domain-specific information. However, RAG is often challenged...
arXiv:2601.17215v1 Announce Type: new Abstract: We present JetFormer, a versatile and scalable encoder-only Transformer architecture for particle jet tagging at the Large Hadron Collider (LHC)....
arXiv:2601.17216v1 Announce Type: new Abstract: Intelligent Transportation Systems (ITS) demand real-time collision prediction to ensure road safety and reduce accident severity. Conventional approaches rely on...
arXiv:2601.17218v1 Announce Type: new Abstract: Entity matching is a crucial component in various recommender systems, including conversational recommender systems (CRS) and knowledge-based recommender systems. However,...
arXiv:2601.17219v1 Announce Type: new Abstract: The construction industry faces productivity stagnation, skilled labor shortages, and safety concerns. While robotic automation offers solutions, construction robots struggle...
arXiv:2601.17221v1 Announce Type: new Abstract: When interactively exploring video data, video-native querying involves consuming query results as videos, including steps such as compilation of extracted...
arXiv:2601.17223v1 Announce Type: new Abstract: Recent work on reinforcement learning with verifiable rewards (RLVR) has shown that large language models (LLMs) can be substantially improved...
arXiv:2601.17224v1 Announce Type: new Abstract: Uncertainty quantification is critical in scientific inverse problems to distinguish identifiable parameters from those that remain ambiguous given available measurements....
arXiv:2601.17225v1 Announce Type: new Abstract: Artificial intelligence (AI) is increasingly being used to augment and automate cyber operations, altering the scale, speed, and accessibility of...
arXiv:2601.17226v1 Announce Type: new Abstract: Despite the subjective nature of storytelling, past works on automatic story generation (ASG) have relied on limited ground truths for...
arXiv:2601.17227v1 Announce Type: new Abstract: We study informative path planning (IPP) with travel budgets in cluttered environments, where an agent collects measurements of a latent...
arXiv:2601.17228v1 Announce Type: new Abstract: Deep learning models in computational pathology often fail to generalize across cohorts and institutions due to domain shift. Existing approaches...
arXiv:2601.17230v1 Announce Type: new Abstract: Automated Fact-Checking has largely focused on verifying general knowledge against static corpora, overlooking high-stakes domains like law where truth is...
arXiv:2601.17231v1 Announce Type: new Abstract: Autonomous mobile robots (AMRs), used for search-and-rescue and remote exploration, require fast and robust planning and control schemes. Sampling-based approaches...
arXiv:2601.17232v1 Announce Type: new Abstract: Automated fact-checking benchmarks have largely ignored the challenge of verifying claims against real-world, high-volume structured data, instead focusing on small,...
arXiv:2601.17237v1 Announce Type: new Abstract: By leveraging multi-teacher distillation, agglomerative vision backbones provide a unified student model that retains and improves the distinct capabilities of...
arXiv:2601.17238v1 Announce Type: new Abstract: Mobile video calls are widely used to share information about real-world objects and environments with remote collaborators. While these calls...
arXiv:2601.17240v1 Announce Type: new Abstract: In-person small-group conversations play a crucial role in everyday life; however, facilitating effective group interaction can be challenging, as the...