arXiv:2607.16603v1 Announce Type: new Abstract: This paper presents the methodologies and results of the NOWJ team's participation across all five tasks of the COLIEE 2026 competition.…
arXiv:2503.17657v3 Announce Type: replace Abstract: Pretrained diffusion models exhibit a well-known training-sampling mismatch, often attributed to exposure bias and related distribution-shift effects. We provide a quantitative…
arXiv:2607.14711v2 Announce Type: replace Abstract: We present for video understanding (classification) a split space-time attention model, VideoSEMA, consisting of a scalable and efficient Mamba-like attention (SEMA)…
arXiv:2607.16228v1 Announce Type: new Abstract: Most tensor-kernel correctness tests go through a fixed-shape all close-style check with hand-picked absolute and relative tolerances. The thresholds are copied…
arXiv:2602.13811v2 Announce Type: replace Abstract: Physics-Informed Neural Networks present a novel approach in SciML that integrates physical laws in the form of partial differential equations directly…
arXiv:2506.00452v5 Announce Type: replace-cross Abstract: In orthogonal frequency division multiplexing (OFDM), accurate channel estimation is crucial. Classical signal processing-based approaches, such as linear minimum mean-squared error…
arXiv:2607.17201v1 Announce Type: new Abstract: In this work we study the Best Policy Identification (BPI) problem in online, tabular Reinforcement Learning. This is an active sequential…
arXiv:2512.10054v3 Announce Type: replace Abstract: Autoregressive language models expose one causal token frontier, even when the requested document contains sections that could be developed concurrently. Existing…
arXiv:2604.25693v2 Announce Type: replace Abstract: Most multi-modal knowledge graph completion (MMKGC) models use one embedding scorer to conduct both retrieval over the full entity set and…
arXiv:2607.16549v1 Announce Type: new Abstract: Language models (LMs) are trained to excel at predicting the next word in the sequence given prior context, and humans also…
arXiv:2607.18078v1 Announce Type: new Abstract: Vision-only occupancy prediction requires recovering a semantic 3D occupancy field from calibrated surround-view images, where each view provides observations with ambiguous…
arXiv:2607.16288v1 Announce Type: new Abstract: Quality control in smart manufacturing increasingly relies on data-driven methods, particularly deep learning, to automate the inspection of manufactured parts. Recent…
arXiv:2607.16227v1 Announce Type: new Abstract: LLMs are increasingly deployed in security-critical systems across healthcare, finance, education, and decision support, yet their inability to forget creates serious…
arXiv:2501.05378v3 Announce Type: replace Abstract: Advances in wireless electroencephalography (EEG) technology promise to record brain-electrical activity in everyday situations. To better understand the relationship between brain…
arXiv:2509.08765v4 Announce Type: replace-cross Abstract: Data-driven acceleration of scientific computing workflows has been a high-profile aim of machine learning (ML) for science, with numerical simulation of…
arXiv:2505.13518v3 Announce Type: replace Abstract: Imbalanced datasets, where one class significantly outnumbers others, remain a persistent challenge in machine learning, often biasing predictions toward the majority…
arXiv:2607.16202v1 Announce Type: new Abstract: AI democratization is not primarily a question of matching frontier-scale generality; it is a question of whether capable models can be…
arXiv:2607.16208v1 Announce Type: new Abstract: Graph-grounded multimodal question answering organizes text, tables, and images in a structured evidence graph, yet end-to-end accuracy depends on which multimodal…
arXiv:2607.16451v1 Announce Type: new Abstract: Chat models sometimes commit to an answer and then produce reasoning that justifies it rather than deriving it -- even when…
arXiv:2607.16260v1 Announce Type: cross Abstract: Multimodal survival analysis utilizing whole slide images (WSIs) and genomic profiles is fundamental for cancer prognosis. Recently, state-space models like Mamba…
arXiv:2607.17985v1 Announce Type: new Abstract: Identity-preserving text-to-video generation aims to synthesize a video that accurately follows a textual description while maintaining the recognizability of a user-specified…
arXiv:2607.16222v1 Announce Type: new Abstract: This paper presents ARGO, a smart eyewear platform designed to bridge ergonomic comfort, high computational throughput, and energy efficiency. Unlike cloud-dependent…
arXiv:2603.02792v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have already been widely adopted for automated algorithm design, demonstrating strong abilities in generating and evolving algorithms…
arXiv:2605.04344v2 Announce Type: replace Abstract: This paper develops a statistical theory of extrapolation for large language models, by reinterpreting them through pre-post-additive noise models. In contrast…