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324

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…
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431

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…
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332

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…
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321

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…
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333

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…
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240

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-…
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232

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…
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20

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 …
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110

arXiv:2409.16073v3 Announce Type: replace
Abstract: Open World Object Detection(OWOD) addresses realistic scenarios where unseen object classes emerge, enabling detectors trained on known classes to detect unknown objects and incrementally incorporate the knowledge they provide. While existing OWOD…
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111

arXiv:2512.19097v1 Announce Type: new
Abstract: Electrophysiology signals such as EEG and iEEG are central to neuroscience, brain-computer interfaces, and clinical applications, yet existing foundation models remain limited in scale despite clear evidence that scaling improves performance. We intro…
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223

arXiv:2512.18746v1 Announce Type: new
Abstract: Self-evolving memory systems are unprecedentedly reshaping the evolutionary paradigm of large language model (LLM)-based agents. Prior work has predominantly relied on manually engineered memory architectures to store trajectories, distill experience,…
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109

Lately, everywhere I scroll, I keep seeing the same fish-eyed CCTV view: a grainy wide shot from the corner of a living room, a driveway at night, an empty grocery store. Then something impossible happens. JD Vance shows up at the doorstep in a crazy outfit. A car folds into itself like paper and dr…
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112

Demis Hassabis, CEO of Google DeepMind, summed it up in three words: “This is embarrassing.”   Hassabis was replying on X to an overexcited post by Sébastien Bubeck, a research scientist at the rival firm OpenAI, announcing that two mathematicians had used OpenAI’s latest large language model, GPT-5…
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208

arXiv:2511.11646v2 Announce Type: replace
Abstract: Product line extension is a strategically important managerial decision that requires anticipating how consumer segments and purchasing contexts may respond to hypothetical product designs that do not yet exist in the market. Such decisions are in…
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111

arXiv:2512.18279v1 Announce Type: new
Abstract: Place recognition is a critical component of autonomous vehicles and robotics, enabling global localization in GPS-denied environments. Recent advances have spurred significant interest in multimodal place recognition (MPR), which leverages complement…
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234

arXiv:2512.18878v1 Announce Type: new
Abstract: Automating crash video analysis is essential to leverage the growing availability of driving video data for traffic safety research and accountability attribution in autonomous driving. Crash video analysis is a challenging multitask problem due to th…
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