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arXiv:2602.15809v1 Announce Type: cross Abstract: Online platforms require robust systems to enforce content safety policies at scale. A critical component of these systems is the...
arXiv:2602.15830v1 Announce Type: cross Abstract: Fair scores reward ensemble forecast members that behave like samples from the same distribution as the verifying observations. They are...
arXiv:2102.02777v4 Announce Type: replace Abstract: I propose a class of non-positional numeral systems where numbers are represented by Dyck words, with the systems arising from...
arXiv:2206.14423v3 Announce Type: replace Abstract: Given a set of $n\geq 1$ unit disk robots in the Euclidean plane, we consider the fundamental problem of providing...
arXiv:2308.11146v4 Announce Type: replace Abstract: (I) We revisit the algorithmic problem of finding all triangles in a graph $G=(V,E)$ with $n$ vertices and $m$ edges....
arXiv:2309.08615v2 Announce Type: replace Abstract: For various reasons including those related to climate changes, {\em energy} has become a critical concern in all relevant activities...
arXiv:2401.14996v4 Announce Type: replace Abstract: Modern SAT or QBF solvers are expected to produce correctness certificates. However, certificates have worst-case exponential size (unless NP=coNP), and...
arXiv:2403.12734v2 Announce Type: replace Abstract: To measure the tree-likeness of a directed acyclic graph (DAG), a new width parameter that considers the directions of the...
arXiv:2404.08812v4 Announce Type: replace Abstract: Despite decision-making being a vital goal of data visualization, little work has been done to differentiate decision-making tasks within the...
arXiv:2404.19222v3 Announce Type: replace Abstract: In 1996, Reed, Robertson, Seymour and Thomas [Combinatorica 1996] proved Younger's Conjecture, which states that, for all directed graphs $D$,...
arXiv:2405.20178v2 Announce Type: replace Abstract: We demonstrate that system identification techniques can provide a basis for effective, non-intrusive model order reduction (MOR) for common circuits...
arXiv:2405.21012v4 Announce Type: replace Abstract: Estimating potential outcomes for treatments over time based on observational data is important for personalized decision-making in medicine. However, many...
arXiv:2406.03862v3 Announce Type: replace Abstract: This study investigates behavior-targeted attacks on reinforcement learning and their countermeasures. Behavior-targeted attacks aim to manipulate the victim's behavior as...
arXiv:2406.07990v2 Announce Type: replace Abstract: We studied how the local topological structure of sentence-embedding neighborhoods encodes semantic ambiguity. Extending ideas that link word-level polysemy to...
arXiv:2406.19571v2 Announce Type: replace Abstract: Social media plays a central role in shaping public opinion and behavior, yet performing experiments on these platforms and, in...
arXiv:2407.03646v4 Announce Type: replace Abstract: While extensive research has focused on ChatGPT in recent years, very few studies have systematically quantified and compared linguistic features...
arXiv:2407.12226v2 Announce Type: replace Abstract: Low-latency traffic prediction is vital for smart city traffic management. Federated Learning has emerged as a promising technique for Traffic...
arXiv:2408.00539v2 Announce Type: replace Abstract: Multi-turn dialogues and context-intensive tasks challenge Large Language Models (LLMs) to integrate long histories without sacrificing generation quality. Although prefix...
arXiv:2408.06428v2 Announce Type: replace Abstract: Most vulnerability detection studies focus on datasets of vulnerabilities in C/C++ code, offering limited language diversity. Thus, the effectiveness of...
arXiv:2408.14073v2 Announce Type: replace Abstract: We propose an algorithm for nonparametric online change point detection based on sequential score function estimation and the tracking the...
arXiv:2409.11733v3 Announce Type: replace Abstract: Understanding emotions is fundamental to human interaction and experience. Humans easily infer emotions from situations or facial expressions, situations from...
arXiv:2410.02605v4 Announce Type: replace Abstract: We derive a policy gradient theorem for Cumulative Prospect Theory (CPT) objectives in finite-horizon Reinforcement Learning (RL), generalizing the standard...
arXiv:2410.05225v3 Announce Type: replace Abstract: We consider deep deterministic policy gradient (DDPG) in the context of reinforcement learning with sparse rewards. To enhance exploration, we...
arXiv:2410.11855v2 Announce Type: replace Abstract: Energy consumption has become a bottleneck for future computing architectures, from wearable devices to leadership-class supercomputers. Existing energy management techniques...