arXiv:2607.15416v1 Announce Type: new Abstract: Reliable AI for screening mammography requires training data representative of the low cancer prevalence and subtle abnormalities found in screening populations.…
arXiv:2602.04643v2 Announce Type: replace Abstract: Time-series anomaly prediction aims to forecast future system failures before they fully emerge, making latent predictive models such as JEPA a…
arXiv:2607.15467v1 Announce Type: new Abstract: Knowledge distillation enables an adversary to replicate a proprietary classifier by querying its prediction interface and training a surrogate on the…
arXiv:2607.15450v1 Announce Type: cross Abstract: Self-distillation (SD) is typically studied when the student is retrained on the teacher's original training inputs. In many practical deployments, however,…
arXiv:2607.15459v1 Announce Type: new Abstract: A trained deep reinforcement learning policy is a black box, and we ask whether it can be made explainable by rewriting…
arXiv:2607.15736v1 Announce Type: new Abstract: Large reasoning models often solve problems through long chain-of-thought (CoT) traces, yet much of this computation is spent on redundant derivations,…
arXiv:2606.09421v3 Announce Type: replace Abstract: Large language model agents increasingly rely on skills: reusable procedural documents encoding workflows, tool use, implementation patterns, validation checks, and domain…
arXiv:2607.16105v1 Announce Type: new Abstract: Understanding how vision-language models (VLMs) interpret data visualizations remains an open problem, and is increasingly important as these models are used…
arXiv:2606.29519v2 Announce Type: replace Abstract: Long-range learning is hard for recurrent networks trained with stochastic gradient descent, because the influence of a past input fades with…
arXiv:2507.14011v2 Announce Type: replace Abstract: Artificial General Intelligence (AGI) is interpreted as an emergent property of autonomous and self-organizing systems, grounded in the principles of autopoiesis…
arXiv:2607.16178v1 Announce Type: new Abstract: In many applications of matching, the point clouds to be matched are not merely unstructured sets of points but rather samples…
arXiv:2607.15480v1 Announce Type: new Abstract: As artificial intelligence (AI) systems increasingly impact society, ensuring their ethical and trustworthy deployment has become a global priority. While a…
arXiv:2607.15610v1 Announce Type: new Abstract: Reinforcement learning (RL) has become a key approach for training LLM agents, yet popular methods such as GRPO/RLOO rely on multiple…
arXiv:2606.18824v2 Announce Type: replace Abstract: Pedestrian trajectory prediction from an on-board ego-centric camera is challenging since it depends on complex interactions with vehicles and scene context,…
arXiv:2607.15491v1 Announce Type: new Abstract: Cross-view geo-localization matches ground-level observations against geo-tagged satellite imagery. Recent methods show that sequential queries such as video clips yield richer…
arXiv:2607.15440v1 Announce Type: new Abstract: We introduce Stochastic Reset Pathfinding (SRP), an episodic learning problem on a known directed graph with unknown stationary edge success probabilities.…
arXiv:2601.18274v2 Announce Type: replace Abstract: In recent years, Spiking Neural Networks (SNNs) have achieved remarkable progress, with Spiking Transformers emerging as a promising architecture for energy-efficient…
arXiv:2607.16053v1 Announce Type: new Abstract: Gene regulatory networks (GRNs) link transcription factor (TF) proteins to their target genes, yet reconstructing these networks from genome-wide data remains…
arXiv:2603.29139v3 Announce Type: replace Abstract: Recent advances in large language models (LLMs) have enabled agentic systems to translate natural-language intent into executable scientific visualization (SciVis) tasks.…
arXiv:2511.15927v4 Announce Type: replace-cross Abstract: Diffusion language models (DLMs) have emerged as a promising alternative to autoregressive (AR) generation, yet their reliance on Transformer backbones limits…
arXiv:2607.15648v1 Announce Type: new Abstract: In multi-party dialogues between a dialogue system and multiple users, identifying to whom an utterance is addressed is a key challenge.…
arXiv:2607.07168v2 Announce Type: replace Abstract: Pose-Free Feed-forward 3D Gaussian Splatting (3DGS) has recently emerged as a powerful paradigm for fast scene reconstruction. However, its performance degrades…
arXiv:2607.16193v1 Announce Type: new Abstract: Multimodal large language models have achieved strong performance across diverse vision-language tasks, yet their capabilities in UAV scenarios remain insufficiently explored.…
arXiv:2607.15446v1 Announce Type: new Abstract: The cost of healthcare remains a concern in the United States and may have been influenced by disruptions associated with the…