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arXiv:2601.17112v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities across diverse natural language tasks but suffer from extremely large memory footprints...
arXiv:2601.17123v1 Announce Type: new Abstract: We introduce and explore a new multimodal input representation for vision-language models: acoustic field video. Unlike conventional video (RGB with...
arXiv:2601.17124v2 Announce Type: new Abstract: The field of image generation is currently bifurcated into autoregressive (AR) models operating on discrete tokens and diffusion models utilizing...
arXiv:2601.17130v1 Announce Type: new Abstract: Graph neural networks (GNNs) have become the standard tool for encoding data and their complex relationships into continuous representations, improving...
arXiv:2601.17131v1 Announce Type: new Abstract: Subgame solving is a technique for scaling algorithms to large games by locally refining a precomputed blueprint strategy during gameplay....
arXiv:2601.17132v1 Announce Type: new Abstract: Few forces rival fear in their ability to mobilize societies, distort communication, and reshape collective behavior. In computational linguistics, fear...
arXiv:2601.17133v1 Announce Type: new Abstract: Fine-tuning Large Language Models (LLMs) for specialized domains is constrained by a fundamental challenge: the need for diverse, cross-organizational data...
arXiv:2601.17134v1 Announce Type: new Abstract: Understanding and modeling consumers' stylistic taste such as "sporty" is crucial for creating designs that truly connect with target audiences....
arXiv:2601.17135v1 Announce Type: new Abstract: Imitation learning enables robots to acquire complex manipulation skills from human demonstrations, but current methods rely solely on low-level sensorimotor...
arXiv:2601.17136v1 Announce Type: new Abstract: Clustering is an important tool in data analysis, with K-means being popular for its simplicity and versatility. However, it cannot...
arXiv:2601.17139v1 Announce Type: new Abstract: Civil society has been deemed by various scholars, such as Robert D. Putnam, to be a predictor and a cornerstone...
arXiv:2601.17149v1 Announce Type: new Abstract: The interactions between the brain and heart during sleep are responsible for regulating autonomic function. While brain-heart coupling has been...
arXiv:2601.17151v1 Announce Type: new Abstract: Frontier models have demonstrated remarkable capabilities in understanding and reasoning with natural-language text, but they still exhibit major competency gaps...
arXiv:2601.17152v1 Announce Type: new Abstract: Multi-agent large language model (LLM) and vision-language model (VLM) debate systems employ specialized roles for complex problem-solving, yet model specializations...
arXiv:2601.17155v1 Announce Type: new Abstract: This paper investigates the application of zonotope-based reachability analysis to low-thrust spacecraft in both two-body and cislunar environments. Reachable sets...
arXiv:2601.17156v1 Announce Type: new Abstract: Intent detection, a fundamental text classification task, aims to identify and label the semantics of user queries, playing a vital...
arXiv:2601.17158v1 Announce Type: new Abstract: The search for extraterrestrial life has long been a primary focus of scientific exploration, driven by rapid advancements in technology...
arXiv:2601.17168v1 Announce Type: new Abstract: Agentic systems have transformed how Large Language Models (LLMs) can be leveraged to create autonomous systems with goal-directed behaviors, consisting...
arXiv:2601.17172v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly capable of generating personalized, persuasive text at scale, raising new questions about bias and...
arXiv:2601.17173v1 Announce Type: new Abstract: Question answering systems are typically evaluated on factual correctness, yet many real-world applications-such as education and career guidance-require mentorship: responses...
arXiv:2601.17178v1 Announce Type: new Abstract: Hardware Trojans (HTs) remain a critical threat because learning-based detectors often overfit to narrow trigger/payload patterns and small, stylized benchmarks....
arXiv:2601.17180v1 Announce Type: new Abstract: Deep learning models for neuroimaging increasingly rely on large architectures, making efficiency a persistent concern despite advances in hardware. Through...
arXiv:2601.17181v1 Announce Type: new Abstract: Languages vary widely in how meanings map to word forms. These mappings have been found to support efficient communication; however,...
arXiv:2601.17183v1 Announce Type: new Abstract: Healthcare institutions have access to valuable patient data that could be of great help in the development of improved diagnostic...