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arXiv:2602.06694v1 Announce Type: new Abstract: Weight-only quantization has become a standard approach for efficiently serving large language models (LLMs). However, existing methods fail to efficiently...
arXiv:2602.06695v1 Announce Type: new Abstract: Incorporating group symmetries via equivariance into neural networks has emerged as a robust approach for overcoming the efficiency and data...
arXiv:2602.06698v1 Announce Type: new Abstract: Safe and computationally efficient local planning for mobile robots in dense, unstructured human crowds remains a fundamental challenge. Moreover, ensuring...
arXiv:2602.06700v1 Announce Type: new Abstract: Graph-structured data underpin a wide spectrum of modern applications. However, complex graph topologies and homophilic patterns can facilitate attribute inference...
arXiv:2602.06702v1 Announce Type: new Abstract: We investigate grokking in transformers through the lens of inductive bias: dispositions arising from architecture or optimization that let the...
arXiv:2602.06706v1 Announce Type: new Abstract: Generative models for de novo protein backbone design have achieved remarkable success in creating novel protein structures. However, these diffusion-based...
arXiv:2602.06707v1 Announce Type: new Abstract: Knowledge Graph (KG) generation requires models to learn complex semantic dependencies between triples while maintaining domain validity constraints. Unlike link...
arXiv:2602.06709v1 Announce Type: new Abstract: CI/CD pipeline failure management is time-consuming when performed manually. Automating this process is non-trivial because the information required for effective...
arXiv:2602.06714v1 Announce Type: new Abstract: LLM-based agents can complete tasks correctly yet still frustrate users through poor interaction patterns, such as excessive confirmations, opaque reasoning,...
arXiv:2602.06715v1 Announce Type: new Abstract: Session types express and enforce safe communication in concurrent message-passing systems by statically capturing the interaction protocols between processes in...
arXiv:2602.06717v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) is commonly based on group sampling to estimate advantages and stabilize policy updates. In...
arXiv:2602.06718v1 Announce Type: new Abstract: Citations provide the basis for trusting scientific claims; when they are invalid or fabricated, this trust collapses. With the advent...
arXiv:2602.06721v1 Announce Type: new Abstract: Hybrid queries combining high-dimensional vector similarity with structured attribute filtering have garnered significant attention across both academia and industry. A...
arXiv:2602.06724v1 Announce Type: new Abstract: Current Information Seeking (InfoSeeking) agents struggle to maintain focus and coherence during long-horizon exploration, as tracking search states, including planning...
arXiv:2602.06733v1 Announce Type: new Abstract: Multi-Agent Path Finding (MAPF) is a representative multi-agent coordination problem, where multiple agents are required to navigate to their respective...
arXiv:2602.06734v1 Announce Type: new Abstract: Generative AI is reshaping education, but it also raises concerns about instability and overreliance. In programming classrooms, we aim to...
arXiv:2602.06735v1 Announce Type: new Abstract: Visualizations have become an indispensable part of the scientific process. A vibrant ecosystem of visualization tools exists, catering to a...
arXiv:2602.06737v1 Announce Type: new Abstract: We present a novel approach for verifying properties of Kolmogorov-Arnold Networks (KANs), a class of neural networks characterized by nonlinear,...
arXiv:2602.06741v1 Announce Type: new Abstract: Learning interpretable representations with variational autoencoders (VAEs) is a major goal of representation learning. The main challenge lies in obtaining...
arXiv:2602.06742v1 Announce Type: new Abstract: Structural bias (SB) refers to systematic preferences of an optimisation algorithm for particular regions of the search space that arise...
arXiv:2602.06743v1 Announce Type: new Abstract: Adolescent Idiopathic Scoliosis (AIS) is a prevalent spinal deformity whose progression can be mitigated through early detection. Conventional screening methods...
arXiv:2602.06746v1 Announce Type: new Abstract: We study multi-task reinforcement learning (RL), a setting in which an agent learns a single, universal policy capable of generalising...
arXiv:2602.06748v1 Announce Type: new Abstract: Satellite imagery is employed for large-scale prospectivity mapping due to the high cost and typically limited availability of on-site mineral...
arXiv:2602.06749v1 Announce Type: new Abstract: Many automated manufacturing processes rely on industrial robot arms to move process-specific tools along workpiece surfaces. In applications like grinding,...