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arXiv:2608.25807v2 Announce Type: replace-cross Abstract: Kolmogorov-Arnold Networks (KANs) learn univariate functions on edges, making the choice of edge respo…
arXiv:2608.14430v3 Announce Type: replace-cross Abstract: Reinforcement learning (RL) post-training provides a direct way to align diffusion models with human p…
arXiv:2606.08493v4 Announce Type: replace-cross Abstract: Tissue graph counterfactuals ask what a cell would express if its spatial neighborhood were altered, a…
arXiv:2605.08069v2 Announce Type: replace-cross Abstract: We study methods for simultaneous analysis of many noisy and biased estimates, each paired with an eve…
arXiv:2605.07104v3 Announce Type: replace-cross Abstract: Establishing almost sure convergence rates for stochastic approximation and reinforcement learning und…
arXiv:2604.24737v2 Announce Type: replace-cross Abstract: Chain-of-thought (CoT) supervision makes computationally hard learning problems tractable by exposing …
arXiv:2603.24626v3 Announce Type: replace-cross Abstract: Single-cell RNA sequencing (scRNA-seq) enables gene expression profiling at cellular resolution but is…
arXiv:2602.24207v3 Announce Type: replace-cross Abstract: The use of algorithmic predictions in decision-making leads to a feedback loop where the models we dep…
arXiv:2602.20457v2 Announce Type: replace-cross Abstract: We study online alignment of large language models under misspecified preference feedback, where the o…
arXiv:2512.06370v4 Announce Type: replace-cross Abstract: Recent works have shown that gradient-update alignment is a powerful signal for modulating optimizer u…
arXiv:2508.05844v3 Announce Type: replace-cross Abstract: We study a stochastic budget-allocation problem over $K$ tasks. At each round $t$, the learner chooses…
arXiv:2402.17595v2 Announce Type: replace-cross Abstract: The phenomenon of implicit bias has attracted interest in recent years as a fundamental aspect of the …
arXiv:2610.04992v2 Announce Type: replace Abstract: Detecting malicious smart contracts is essential to safeguarding the Web3.0 ecosystem. However, existing aud…
arXiv:2609.35596v3 Announce Type: replace Abstract: Self-evolving LLM agents have gained prominence for their ability to improve after deployment by modifying t…
arXiv:2609.34804v2 Announce Type: replace Abstract: Federated learning enables industrial operators to train shared intrusion detection models without disclosin…
arXiv:2609.16541v2 Announce Type: replace Abstract: We have applied a novel combination of classic relational database modeling and modern reinforcement learnin…
arXiv:2608.25667v2 Announce Type: replace Abstract: The integration of Large Language Models (LLMs) into cybersecurity has transformed vulnerability assessment,…
arXiv:2605.03158v2 Announce Type: replace Abstract: Cyber threat intelligence (CTI) systems must link exploit code, advisories, and fix commits to the vulnerabi…
arXiv:2509.17836v3 Announce Type: replace Abstract: Machine Learning (ML) techniques have shown strong potential for network traffic analysis; however, their ef…
arXiv:2508.00351v3 Announce Type: replace Abstract: Quantum money is a representative application in cryptography that utilizes quantum technology to achieve se…