Stay updated with the latest research and technology news
arXiv:2601.17561v1 Announce Type: new Abstract: Among biometric verification systems, irises stand out because they offer high accuracy even in large-scale databases. For example, the World...
arXiv:2601.17562v1 Announce Type: new Abstract: This work presents a systematic analysis and extension of the sparse radial basis function network (SparseRBFnet) previously introduced for solving...
arXiv:2601.17563v1 Announce Type: new Abstract: State-of-the-art imitation learning from observation methods (ILfO) have recently made significant progress, but they still have some limitations: they need...
arXiv:2601.17564v1 Announce Type: new Abstract: The Abstraction and Reasoning Corpus (ARC) tests AI systems' ability to perform human-like inductive reasoning from a few demonstration pairs....
arXiv:2601.17566v1 Announce Type: new Abstract: Enabling large language models (LLMs) to solve complex reasoning tasks is a key step toward artificial general intelligence. Recent work...
arXiv:2601.17567v1 Announce Type: new Abstract: Trending news detection in low-traffic search environments faces a fundamental cold-start problem, where a lack of query volume prevents systems...
arXiv:2601.17569v1 Announce Type: new Abstract: Personalization is crucial for aligning Large Language Model (LLM) outputs with individual user preferences and background knowledge. State-of-the-art solutions are...
arXiv:2601.17570v1 Announce Type: new Abstract: Monte Carlo (MC) reinforcement learning suffers from high sample complexity, especially in environments with sparse rewards, large state spaces, and...
arXiv:2601.17572v1 Announce Type: new Abstract: For many kinds of vehicle routing problems (VRPs), a popular heuristic approach involves constructing a Traveling Salesman Problem (TSP) solution,...
arXiv:2601.17577v1 Announce Type: new Abstract: From school playgrounds to corporate boardrooms, status hierarchies -- rank orderings based on respect and perceived competence -- are universal...
arXiv:2601.17578v1 Announce Type: new Abstract: The R ecosystem offers a rich variety of map-reduce application programming interfaces (APIs) for iterative computations, yet parallelizing code across...
arXiv:2601.17581v2 Announce Type: new Abstract: AI coding agents are increasingly acting as autonomous contributors by generating and submitting pull requests (PRs). However, we lack empirical...
arXiv:2601.17584v1 Announce Type: new Abstract: Large language models are increasingly used in software development, yet their ability to generate and maintain large, multi module systems...
arXiv:2601.17585v1 Announce Type: new Abstract: Modern language models (LMs) are trained in an autoregressive manner, conditioned only on the prefix. In contrast, sequence labeling (SL)...
arXiv:2601.17586v1 Announce Type: new Abstract: Deep learning models in medical image analysis often struggle with generalizability across domains and demographic groups due to data heterogeneity...
arXiv:2601.17587v1 Announce Type: new Abstract: Configuring the parameters of additive manufacturing processes for metal alloys is a challenging problem due to complex relationships between input...
arXiv:2601.17588v1 Announce Type: new Abstract: Recent advances in LLMs have reignited scientific debate over whether embodiment is necessary for intelligence. We present the argument that...
arXiv:2601.17589v1 Announce Type: new Abstract: While thousands of satellites photograph Earth every day, most of that data never makes it to the ground because downlink...
arXiv:2601.17593v1 Announce Type: new Abstract: Recent progress in large language models has renewed interest in mechanistically characterizing how multi-step reasoning is represented and computed. While...
arXiv:2601.17596v1 Announce Type: new Abstract: Existing machine learning engineering (MLE) agents struggle to iteratively optimize their implemented algorithms for effectiveness. To address this, we introduce...
arXiv:2601.17598v1 Announce Type: new Abstract: Deep reinforcement learning (DRL) has driven major advances in autonomous control. Still, standard Deep Q-Network (DQN) agents tend to rely...
arXiv:2601.17601v1 Announce Type: new Abstract: URLs serve as bridges between social media platforms and the broader web, linking user-generated content to external information resources. On...
arXiv:2601.17602v1 Announce Type: new Abstract: We study Transformer overparameterization through the lens of angular similarity in high-dimensional encoder-decoder embeddings. We apply Bernoulli dropout between the...
arXiv:2601.17604v1 Announce Type: new Abstract: Large Language Models (LLMs) are widely used to support software developers in tasks such as code generation, optimization, and documentation....