Ward: Newsss

329

D-FCGS: Feedforward Compression of Dynamic Gaussian Splatting for Free-Viewpoint Videos

arXiv:2507.05859v3 Announce Type: replace
Abstract: Free-Viewpoint Video (FVV) enables immersive 3D experiences, but efficient compression of dynamic 3D representation remains a major challenge. Existing dynamic 3D Gaussian Splatting methods couple reconstruction with optimization-dependent compres…

310

Biologically-Informed Hybrid Membership Inference Attacks on Generative Genomic Models

arXiv:2511.07503v3 Announce Type: replace
Abstract: The increased availability of genetic data has transformed genomics research, but raised many privacy concerns regarding its handling due to its sensitive nature. This work explores the use of language models (LMs) for the generation of synthetic …

221

Kodiak AI looks to transform trucking with autonomous tech, IoT connectivity

5G telematics and ThingSpace IoT management services enable autonomous vehicle technology operating model and manage massive amounts of data generated from its driverless trucks

227

Conflicting Biases at the Edge of Stability: Norm versus Sharpness Regularization

arXiv:2505.21423v2 Announce Type: replace
Abstract: A widely believed explanation for the remarkable generalization capacities of overparameterized neural networks is that the optimization algorithms used for training induce an implicit bias towards benign solutions. To grasp this theoretically, re…

231

Edge-wise Topological Divergence Gaps: Guiding Search in Combinatorial Optimization

arXiv:2512.15800v1 Announce Type: new
Abstract: We introduce a topological feedback mechanism for the Travelling Salesman Problem (TSP) by analyzing the divergence between a tour and the minimum spanning tree (MST). Our key contribution is a canonical decomposition theorem that expresses the tour-M…

210

Interpretable Deep Learning for Stock Returns: A Consensus-Bottleneck Asset Pricing Model

arXiv:2512.16251v1 Announce Type: cross
Abstract: We introduce the \textit{Consensus-Bottleneck Asset Pricing Model} (CB-APM), a partially interpretable neural network that replicates the reasoning processes of sell-side analysts by capturing how dispersed investor beliefs are compressed into asset…

219

Scaling Neuro-symbolic Problem Solving: Solver-Free Learning of Constraints and Objectives

arXiv:2508.20978v4 Announce Type: replace
Abstract: In the ongoing quest for hybridizing discrete reasoning with neural nets, there is an increasing interest in neural architectures that can learn how to solve discrete reasoning or optimization problems from natural inputs, a task that Large Langua…

210

Stackelberg Learning from Human Feedback: Preference Optimization as a Sequential Game

arXiv:2512.16626v1 Announce Type: new
Abstract: We introduce Stackelberg Learning from Human Feedback (SLHF), a new framework for preference optimization. SLHF frames the alignment problem as a sequential-move game between two policies: a Leader, which commits to an action, and a Follower, which re…

221

MAVIS: A Benchmark for Multimodal Source Attribution in Long-form Visual Question Answering

arXiv:2511.12142v2 Announce Type: replace
Abstract: Source attribution aims to enhance the reliability of AI-generated answers by including references for each statement, helping users validate the provided answers. However, existing work has primarily focused on text-only scenario and largely over…

220

Emergence: Overcoming Privileged Information Bias in Asymmetric Embodied Agents via Active Querying

arXiv:2512.15776v1 Announce Type: new
Abstract: Large Language Models (LLMs) act as powerful reasoning engines but struggle with "symbol grounding" in embodied environments, particularly when information is asymmetrically distributed. We investigate the Privileged Information Bias (or "Curse of Kno…

128

Towards AI-Supported Research: a Vision of the TIB AIssistant

arXiv:2512.16447v1 Announce Type: new
Abstract: The rapid advancements in Generative AI and Large Language Models promise to transform the way research is conducted, potentially offering unprecedented opportunities to augment scholarly workflows. However, effectively integrating AI into research re…

129

Make the most of what you have: Resource-efficient randomized algorithms for matrix computations

arXiv:2512.15929v1 Announce Type: new
Abstract: In recent years, randomized algorithms have established themselves as fundamental tools in computational linear algebra, with applications in scientific computing, machine learning, and quantum information science. Many randomized matrix algorithms pr…

119

Dead Trees Support a Bounty of Birdlife, but Preserving Them Isn’t Always Clear Cut

When Mark Benedict and his wife, Mary Shaw, moved in 2017 to Salmon Prairie, Montana, a remote enclave about two hours north of Missoula, they felt like they had won the retirement lottery. Their...

118

TS-DP: Reinforcement Speculative Decoding For Temporal Adaptive Diffusion Policy Acceleration

arXiv:2512.15773v1 Announce Type: new
Abstract: Diffusion Policy (DP) excels in embodied control but suffers from high inference latency and computational cost due to multiple iterative denoising steps. The temporal complexity of embodied tasks demands a dynamic and adaptable computation mode. Stat…

109

XBIDetective: Leveraging Vision Language Models for Identifying Cross-Browser Visual Inconsistencies

arXiv:2512.15804v1 Announce Type: new
Abstract: Browser rendering bugs can be challenging to detect for browser developers, as they may be triggered by very specific conditions that are exhibited on only a very small subset of websites. Cross-browser inconsistencies (XBIs), variations in how a webs…

111

Needle in the Web: A Benchmark for Retrieving Targeted Web Pages in the Wild

arXiv:2512.16553v1 Announce Type: new
Abstract: Large Language Models (LLMs) have evolved from simple chatbots into sophisticated agents capable of automating complex real-world tasks, where browsing and reasoning over live web content is key to assessing retrieval and cognitive skills. Existing be…