3,694 items tracked: 32 reported by two or more outlets, the rest by a single source. Most-corroborated first.
arXiv:2610.09202v1 Announce Type: new Abstract: Extreme low-bit LLM compression is most challenging when weights, activations, and KV caches are quantized together: their distributions differ, and quantization errors int…
arXiv:2610.09215v1 Announce Type: new Abstract: Given a task and an evaluator, a language model can rewrite a candidate program while a search loop decides which rewrites survive, offering a practical route to algorithm…
arXiv:2610.09219v1 Announce Type: new Abstract: Direct Preference Optimization (DPO) treats all constraint violations equally: a $1 budget overshoot and a $1,000 overshoot induce the same training signal.
arXiv:2610.09239v1 Announce Type: new Abstract: Self-improving LLM systems propose changes to themselves and keep those that score better on a small evaluation set.
arXiv:2610.09296v1 Announce Type: new Abstract: AI evaluation shapes the decisions of model providers, users, funders, and regulators.
arXiv:2610.09360v1 Announce Type: new Abstract: Real-world documents distribute evidence across text, tables, figures, and captions within complex page layouts.
arXiv:2610.09401v1 Announce Type: new Abstract: LLM-based formal provers can retrieve relevant lemmas and prior proofs, but relevance alone does not say whether a mathematical method can be used on the current theorem.
arXiv:2610.09466v1 Announce Type: new Abstract: Unmanned aerial vehicle (UAV) dispatch is beginning to move beyond isolated path planning and optimization-driven resource allocation toward system-level coordination suppo…
arXiv:2610.09495v1 Announce Type: new Abstract: This paper asks how explicit representations can support reusable cognitive schemas in knowledge-based problem solving.
arXiv:2610.09554v1 Announce Type: new Abstract: Entity Alignment (EA) identifies equivalent entities across knowledge graphs and is critical for knowledge base integration and ontology merging.
arXiv:2610.09589v1 Announce Type: new Abstract: Purpose: To compare dual- and single-suggestion AI support for radiographic interpretation by residents, particularly when the shared AI suggestion was incorrect.
arXiv:2610.09693v1 Announce Type: new Abstract: The wide adoption of LLMs across broad NLG applications heightens the importance of providing users with the means to avert errors and hallucinations.
arXiv:2610.09769v2 Announce Type: replace Abstract: Large language models are increasingly contributing to mathematical research, where progress often depends on efficient proof search, incremental improvements and caref…
arXiv:2610.09896v1 Announce Type: new Abstract: Ship-form design combines smooth geometric representation, local shape editing, and constraints on the resulting hull.
arXiv:2610.10015v1 Announce Type: new Abstract: Pressure-sensing smart textiles convert body-surface contact into a dense, image-like signal closely tied to posture and movement, making them a promising low-cost route to…
arXiv:2610.10201v1 Announce Type: new Abstract: Joint spatial-geometric and analytic function reasoning requires translating a perceived spatial configuration into a symbolic function whose executed curve satisfies geome…
arXiv:2610.10352v1 Announce Type: new Abstract: Human-machine systems rarely operate at a fixed level of AI autonomy.
arXiv:2610.10498v1 Announce Type: new Abstract: Robot foundation models provide strong visuomotor control, yet their performance can degrade when object positions or task instructions change.
arXiv:2610.10507v1 Announce Type: new Abstract: Large language models are increasingly applied to tasks grounded in long, heterogeneous information sources.
arXiv:2610.08794v1 Announce Type: cross Abstract: Large language models rely on subword tokenizers whose quality varies across languages, yet no standardized multi-metric framework exists for broad comparative evaluation…
arXiv:2610.08809v1 Announce Type: cross Abstract: Depression severity among patients with chronic or acute medical conditions is influenced by a complex interaction of baseline psychological state, demographic characteri…
arXiv:2610.08811v1 Announce Type: cross Abstract: As context windows scale to tens or hundreds of thousands of tokens, KV cache compression has become essential for efficient LLM inference.
arXiv:2610.08813v1 Announce Type: cross Abstract: X-ray image-based Radiology Report Generation (RRG) constitutes a critical research direction within medical artificial intelligence, with great potential to alleviate cl…
arXiv:2610.08818v2 Announce Type: replace-cross Abstract: Spatio-temporal forecasting is a cornerstone of logistics, urban planning, and intelligent transportation systems.
arXiv:2610.08819v1 Announce Type: cross Abstract: Rapid industrialization and urban growth are increasing pressure on water quality and wastewater treatment systems, while conventional treatment plants often rely on stat…
arXiv:2610.08827v1 Announce Type: cross Abstract: Automatic Speech Recognition (ASR) systems often underperform for children and non-native speakers, while adapting adult ASR models to child speech can cause adult-speech…
arXiv:2610.08835v2 Announce Type: replace-cross Abstract: The spread of fake news may cause severe social consequences.
arXiv:2610.08838v1 Announce Type: cross Abstract: Longitudinal medical imaging analysis is a cornerstone of modern medical practice and patient care.
arXiv:2610.08842v1 Announce Type: cross Abstract: Identifying suicide risk from social networking services (SNS) posts is important for detecting suicide-related signals in online environments.
arXiv:2610.08848v1 Announce Type: cross Abstract: Glioblastoma (GBM), an aggressive primary brain tumor, is routinely monitored with longitudinal MRI after treatment.
arXiv:2610.08851v1 Announce Type: cross Abstract: Quantifying language distance among closely related languages remains a core challenge in quantitative linguistics.
arXiv:2610.08858v1 Announce Type: cross Abstract: Low-rank compression reduces the cost of pretrained language models by replacing linear transformations with low-rank factorizations.
arXiv:2610.08879v1 Announce Type: cross Abstract: Pretraining strategies significantly impact the quality of language models, yet existing comparisons of Masked Language Modeling (MLM), Whole Word Masking (WWM), and MacB…
arXiv:2610.08880v1 Announce Type: cross Abstract: This paper studies tetrahedral meshes as the body representation for differentiable simulation and computational design.
arXiv:2610.08882v1 Announce Type: cross Abstract: FinVector-Market-4B adapts Qwen/Qwen3.5-4B with rank-16 LoRA on a 22,000-example corpus for structured financial tasks.
arXiv:2610.08894v1 Announce Type: cross Abstract: This dissertation presents a scalable architecture for transforming unstructured, domain-specific text into structured knowledge for retrieval and reasoning.
arXiv:2610.08895v1 Announce Type: cross Abstract: Finding severity is the main driver of how security teams prioritize remediation.
arXiv:2610.08937v1 Announce Type: cross Abstract: AlphaFold 3 predicts protein structures with remarkable accuracy, yet how structural information emerges within the model remains poorly understood.
arXiv:2610.08969v2 Announce Type: replace-cross Abstract: Black-box optimization problems are ubiquitous across science and engineering, often dealing with expensive objective functions.
arXiv:2610.08989v1 Announce Type: cross Abstract: While offline reinforcement learning (RL) enables policy optimization from static datasets without costly online interaction, it remains bottlenecked by the risk of execu…
arXiv:2610.09003v1 Announce Type: cross Abstract: Autoregressive Large Language Models (LLMs) frequently struggle with deterministic multi-step algorithmic tasks such as multi-digit multiplication and long division.
arXiv:2610.09015v1 Announce Type: cross Abstract: Diffusion models can generate high-quality images, yet aligning their outputs with individual user preferences remains challenging.
arXiv:2610.09043v1 Announce Type: cross Abstract: In human-AI collaborative decision making, human review can prevent unsafe AI decisions, but each human judgment is costly.
arXiv:2610.09108v1 Announce Type: cross Abstract: Policy learning drives many of the most consequential and heavily-invested applications of reinforcement learning today.
arXiv:2610.09124v1 Announce Type: cross Abstract: Induction heads provide a mechanistic account of in-context learning in sequential data, but existing theory largely assumes that the context relevant to a prediction for…
arXiv:2610.09166v1 Announce Type: cross Abstract: Standard diffusion samplers generate samples through repeated evaluations of a learned score function.
arXiv:2610.09179v1 Announce Type: cross Abstract: As data propagates through a Transformer, the norm of its hidden states grows by orders of magnitude with depth, a phenomenon framed as 'curse of depth' and nearly univer…
arXiv:2610.09212v1 Announce Type: cross Abstract: The best two-bit weight quantizers for large language models, such as QTIP and Proteus, rotate each weight matrix by a random orthogonal transform, which must be undone a…
arXiv:2610.09217v1 Announce Type: cross Abstract: Autism spectrum disorder (ASD) is diagnosed through specialist observation of a child's social behavior, and access to that expertise is the bottleneck for early identifi…
arXiv:2610.09221v1 Announce Type: cross Abstract: Flow and diffusion models suffer from slow inference due to computationally expensive numerical integration.