Every story across every category, newest first. Each card links to the original publisher; daily-brief posts open as editorial pages.
arXiv:2607.09784v1 Announce Type: new Abstract: Real-image diffusion inversion is governed by a tight quality-cost trade-off, with costs incurred in computation, storage, or per-image optimization. We study…
arXiv:2604.16514v5 Announce Type: replace Abstract: Autoregressive vision-language models (VLMs) deliver strong multimodal capability, but their token-by-token decoding imposes a fundamental inference bottleneck. Diffusion VLMs offer a…
arXiv:2607.09780v1 Announce Type: new Abstract: The modern-day surge in popularity of wearable devices poses a fundamentally unique motion capture problem: reconstructing full-body movement from any set…
arXiv:2602.18757v3 Announce Type: replace Abstract: Human driving behavior is inherently diverse, yet most end-to-end autonomous driving (E2E-AD) systems learn a single average driving style, neglecting individual…
arXiv:2607.09757v1 Announce Type: new Abstract: Low-Rank Adaptation (LoRA) has become a cornerstone of parameter-efficient fine-tuning (PEFT); however, the conventional practice of uniform rank assignment ignores the…
arXiv:2607.09759v1 Announce Type: new Abstract: Building assistants that can continually watch the world, remember what they see, and reason over their accumulated experience is a long-standing…
arXiv:2607.09763v1 Announce Type: new Abstract: Engineering shape optimization faces challenges in both expert-dependent problem setup and surrogate-model reliability. In practical aerodynamic design, optimization settings such as…
arXiv:2607.09777v1 Announce Type: new Abstract: Multi-Modal Knowledge Graphs (MMKGs) enrich entities with multiple modalities such as text and images, yet entities with highly similar multi-modal features…
arXiv:2607.09768v1 Announce Type: new Abstract: In this paper, we present the first (to the best of our knowledge) demonstration of a low-power MCU-based edge device for…
arXiv:2606.26515v3 Announce Type: replace Abstract: Test Time Training (TTT) is a mechanism in which a model adapts to an incoming test-sample by performing some self-supervised (SSL)…
arXiv:2607.09779v1 Announce Type: new Abstract: The deep nonnegative matrix factorization (DNMF) technique is proposed to address the low interpretability of deep learning-based methods in extracting multilayer…
arXiv:2607.11710v1 Announce Type: new Abstract: This paper addresses the problem of omnidirectional video interpolation, which plays an essential role in applications such as virtual reality and…
arXiv:2606.31715v2 Announce Type: replace-cross Abstract: Emerging uplink-dominant 6G use cases, such as cooperative vehicular streaming, require efficient transmission of high-volume visual data over limited wireless resources.…
arXiv:2607.10538v1 Announce Type: cross Abstract: The open-sourcing of powerful image generation models has created a vibrant ecosystem where creators curate and combine a vast array of…
arXiv:2607.09809v1 Announce Type: cross Abstract: Deep models for retinal optical coherence tomography (OCT) classification report high accuracy but rarely report whether their confidence can be trusted…
arXiv:2511.11132v3 Announce Type: replace Abstract: Knowledge-based Visual Question Answering (KBVQA) necessitates external knowledge incorporation beyond cross-modal understanding. Existing KBVQA methods either utilize implicit knowledge in multimodal…
arXiv:2407.06150v4 Announce Type: replace Abstract: Most novel view synthesis methods -- including Neural Radiance Fields (NeRF) -- struggle to capture the high dynamic range (HDR) radiance…
arXiv:2607.10245v1 Announce Type: new Abstract: Despite advances in Emotional Intelligence (EI), Large Language Models (LLMs) still significantly underperform humans in complex emotional reasoning. This gap originates…
arXiv:2607.09576v2 Announce Type: replace Abstract: We present an interpretable network-based framework for representing idiomatic and figurative meaning across eight typologically diverse languages, totaling 160 conventional expressions,…
arXiv:2607.10235v1 Announce Type: new Abstract: Previous work in group recommender systems has demonstrated a sensitivity to the distribution of preferences within a group. Specifically, the selection…
arXiv:2606.06065v4 Announce Type: replace Abstract: Second-language (L2) speech recognition often requires transcriptions of pronunciations and intended meanings. Multi-task learning (MTL) is a natural approach because it…
arXiv:2607.10198v1 Announce Type: new Abstract: Search APIs are the fundamental retrieval layer for many agents and are often their most frequently used tool. Traditional search APIs…
arXiv:2602.23993v2 Announce Type: replace Abstract: We present gradiend, an open-source Python package that operationalizes the GRADIEND method for learning feature directions from factual-counterfactual MLM and CLM…
arXiv:2607.10194v1 Announce Type: new Abstract: We present IsalHG, a method for representing the structure of any finite, connected hypergraph of bounded hyperedge arity as a string…