Ward: Newsss

219

VERDI: VLM-Embedded Reasoning for Autonomous Driving

arXiv:2505.15925v3 Announce Type: replace
Abstract: While autonomous driving (AD) stacks struggle with decision making under partial observability and real-world complexity, human drivers are capable of commonsense reasoning to make near-optimal decisions with limited information. Recent work has a…

320

FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis

arXiv:2512.18073v1 Announce Type: new
Abstract: Multimodal LLMs (MLLMs) have gained significant traction in complex data analysis, visual question answering, generation, and reasoning. Recently, they have been used for analyzing the biometric utility of iris and face images. However, their capabili…

218

Executorch: On-device AI across mobile, embedded and edge for PyTorch

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332

Low-Rank Expert Merging for Multi-Source Domain Adaptation in Person Re-Identification

arXiv:2508.06831v2 Announce Type: replace
Abstract: Adapting person re-identification (reID) models to new target environments remains a challenging problem that is typically addressed using unsupervised domain adaptation (UDA) methods. Recent works show that when labeled data originates from sever…

321

No Pose at All: Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views

arXiv:2508.01171v2 Announce Type: replace
Abstract: We introduce SPFSplat, an efficient framework for 3D Gaussian splatting from sparse multi-view images, requiring no ground-truth poses during training or inference. It employs a shared feature extraction backbone, enabling simultaneous prediction …

222

Exploring Zero-Shot ACSA with Unified Meaning Representation in Chain-of-Thought Prompting

arXiv:2512.19651v1 Announce Type: new
Abstract: Aspect-Category Sentiment Analysis (ACSA) provides granular insights by identifying specific themes within reviews and their associated sentiment. While supervised learning approaches dominate this field, the scarcity and high cost of annotated data f…

220

A Comprehensive Survey on Generative AI for Video-to-Music Generation

arXiv:2502.12489v2 Announce Type: replace-cross
Abstract: The burgeoning growth of video-to-music generation can be attributed to the ascendancy of multimodal generative models. However, there is a lack of literature that comprehensively combs through the work in this field. To fill this gap, this …

118

Toward Human-Centered AI-Assisted Terminology Work

arXiv:2512.18859v1 Announce Type: new
Abstract: The rapid diffusion of generative artificial intelligence is transforming terminology work. While this technology promises gains in efficiency, its unstructured adoption risks weakening professional autonomy, amplifying bias, and eroding linguistic an…

333

Self-Consistent Probability Flow for High-Dimensional Fokker-Planck Equations

arXiv:2512.19196v1 Announce Type: cross
Abstract: Solving high-dimensional Fokker-Planck (FP) equations is a challenge in computational physics and stochastic dynamics, due to the curse of dimensionality (CoD) and the bottleneck of evaluating second-order diffusion terms. Existing deep learning app…

552

VisionDirector: Vision-Language Guided Closed-Loop Refinement for Generative Image Synthesis

arXiv:2512.19243v1 Announce Type: new
Abstract: Generative models can now produce photorealistic imagery, yet they still struggle with the long, multi-goal prompts that professional designers issue. To expose this gap and better evaluate models' performance in real-world settings, we introduce Long…

324

Overcoming Spectral Bias via Cross-Attention

arXiv:2512.18586v1 Announce Type: new
Abstract: Spectral bias implies an imbalance in training dynamics, whereby high-frequency components may converge substantially more slowly than low-frequency ones. To alleviate this issue, we propose a cross-attention-based architecture that adaptively reweigh…

431

Fraud Detection Through Large-Scale Graph Clustering with Heterogeneous Link Transformation

arXiv:2512.19061v1 Announce Type: new
Abstract: Collaborative fraud, where multiple fraudulent accounts coordinate to exploit online payment systems, poses significant challenges due to the formation of complex network structures. Traditional detection methods that rely solely on high-confidence id…

343

Transforming Data Management In EDA: Preparing For The AI Era

Ensuring data moves smoothly across multiple disciplines, tools, and globally distributed teams.
The post Transforming Data Management In EDA: Preparing For The AI Era appeared first on Semiconductor Engineering.

641

AI is reshaping banking—but not causing a jobs wipeout

Banking and finance headcounts remain largely stable, according to a Fortune report.

332

LLVM Considering An AI Tool Policy, AI Bot For Fixing Build System Breakage Proposed

Last week a request for comments (RFC) was issued around establishing an LLVM AI Tool Use Policy. The proposed policy would allow AI-assisted contributions to be made to this open-source compiler codebase but that there would need to be a "human in the loop" and the contributor versed enough to be a…

321

Shape it Up! Restoring LLM Safety during Finetuning

arXiv:2505.17196v3 Announce Type: replace
Abstract: Finetuning large language models (LLMs) enables user-specific customization but introduces critical safety risks: even a few harmful examples can compromise safety alignment. A common mitigation strategy is to update the model more strongly on exa…

333

A Convolutional Neural Deferred Shader for Physics Based Rendering

arXiv:2512.19522v1 Announce Type: new
Abstract: Recent advances in neural rendering have achieved impressive results on photorealistic shading and relighting, by using a multilayer perceptron (MLP) as a regression model to learn the rendering equation from a real-world dataset. Such methods show pr…

240

DTCCL: Disengagement-Triggered Contrastive Continual Learning for Autonomous Bus Planners

arXiv:2512.18988v1 Announce Type: new
Abstract: Autonomous buses run on fixed routes but must operate in open, dynamic urban environments. Disengagement events on these routes are often geographically concentrated and typically arise from planner failures in highly interactive regions. Such policy-…

232

Guard-GBDT: Efficient Privacy-Preserving Approximated GBDT Training on Vertical Dataset

arXiv:2507.20688v2 Announce Type: replace
Abstract: In light of increasing privacy concerns and stringent legal regulations, using secure multiparty computation (MPC) to enable collaborative GBDT model training among multiple data owners has garnered significant attention. Despite this, existing MP…

20

Continuous-time reinforcement learning for optimal switching over multiple regimes

arXiv:2512.04697v2 Announce Type: replace-cross
Abstract: This paper studies the continuous-time reinforcement learning (RL) for optimal switching problems across multiple regimes. We consider a type of exploratory formulation under entropy regularization where the agent randomizes both the timing …