Stay updated with the latest research and technology news
arXiv:2602.14761v1 Announce Type: new Abstract: Current meta-learning methods are constrained to narrow task distributions with fixed feature and label spaces, limiting applicability. Moreover, the current...
arXiv:2602.14763v1 Announce Type: new Abstract: Reasoning-oriented large language models (RLMs) achieve strong gains on tasks such as mathematics and coding by generating explicit intermediate reasoning....
arXiv:2602.14765v1 Announce Type: new Abstract: This work introduces a novel two-stage distributed framework to globally estimate constant parameters in a networked system, separating shared information...
arXiv:2602.14767v1 Announce Type: new Abstract: Continual learning remains constrained by the need for repeated retraining, high computational costs, and the persistent challenge of forgetting. These...
arXiv:2602.14768v1 Announce Type: new Abstract: Given an undirected graph G and a set A \subseteq V(G), an A-path is a path in G that starts...
arXiv:2602.14770v1 Announce Type: new Abstract: Prior work has explored multi-turn interaction and feedback for LLM writing, but evaluations still largely center on prompts and localized...
arXiv:2602.14771v1 Announce Type: new Abstract: The human visual system tracks objects by integrating current observations with previously observed information, adapting to target and scene changes,...
arXiv:2602.14772v1 Announce Type: new Abstract: The Winner Determination Problem (WDP) in combinatorial auctions is NP-hard, and no existing method reliably predicts which instances will defeat...
arXiv:2602.14777v1 Announce Type: new Abstract: Recent research has demonstrated that large language models (LLMs) fine-tuned on incorrect trivia question-answer pairs exhibit toxicity - a phenomenon...
arXiv:2602.14778v1 Announce Type: new Abstract: Hallucinations -- fluent but factually incorrect responses -- pose a major challenge to the reliability of language models, especially in...
arXiv:2602.14780v1 Announce Type: new Abstract: We present ROSA -- Roundabout Optimized Speed Advisory -- a system that combines multi-agent trajectory prediction with coordinated speed guidance...
arXiv:2602.14783v1 Announce Type: new Abstract: The rapid expansion of artificial intelligence (AI) is raising concerns about its potential to transform cybercrime. Beyond empowering novice offenders,...
arXiv:2602.14784v1 Announce Type: new Abstract: Breaking long documents into smaller segments is a fundamental challenge in information retrieval. Whether for search engines, question-answering systems, or...
arXiv:2602.14786v1 Announce Type: new Abstract: In this paper, we develop a new Randomized Global Generalized Minimum Residual (RGlGMRES) algorithm for efficiently computing solutions to large...
arXiv:2602.14788v1 Announce Type: new Abstract: Referring Image Segmentation (RIS) aims to segment a target object described by a natural language expression. Existing methods have evolved...
arXiv:2602.14789v1 Announce Type: new Abstract: The dynamical stability of the iterates during training plays a key role in determining the minima obtained by optimization algorithms....
arXiv:2602.14791v1 Announce Type: new Abstract: Multi-Source Bayesian Optimization (MSBO) serves as a variant of the traditional Bayesian Optimization (BO) framework applicable to situations involving optimization...
arXiv:2602.14793v1 Announce Type: new Abstract: This paper presents a forensic scientometric case study of the Pharmakon Neuroscience Research Network, a fabricated research collective that operated...
arXiv:2602.14794v1 Announce Type: new Abstract: We present a theoretical and numerical analysis of the kinematics for the "Transpressor", a cuspidal 6R robot. It admits up...
arXiv:2602.14795v1 Announce Type: new Abstract: Datasets for the experimental evaluation of knowledge graph refinement algorithms typically contain only ground facts, retaining very limited schema level...
arXiv:2602.14798v1 Announce Type: new Abstract: Tool-using LLM agents increasingly coordinate real workloads by selecting and chaining third-party tools based on text-visible metadata such as tool...
arXiv:2602.14799v1 Announce Type: new Abstract: Multi-Agent Path Finding (MAPF) remains a fundamental challenge in robotics, where classical centralized approaches exhibit exponential growth in joint-state complexity...
arXiv:2602.14805v1 Announce Type: new Abstract: A generalized framework for the novel center-fed pinching antenna system (C-PASS) is proposed. Within this framework, closed-form expressions for the...
arXiv:2602.14812v1 Announce Type: new Abstract: Physical commonsense reasoning represents a fundamental capability of human intelligence, enabling individuals to understand their environment, predict future events, and...