arXiv

ProjAgent: Procedural Similarity Retrieval for Repository-Level Code Generation

Repository-level code generation requires implementing target functions while accounting for complex cross-file depen...

AI 聚合
2026-07-10
arXiv

Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents

In long-horizon tasks, decision-relevant state is often scattered across an expanding trajectory, while the action ag...

AI 聚合
2026-07-10
arXiv

Pose-to-Biomechanics: Bridging 3D Human Pose Estimation and Biomechanical Attribute Prediction

Recent progress in 3D human pose estimation has made markerless recovery of skeletal motion increasingly accurate and...

AI 聚合
2026-07-10
arXiv

Validity of LLMs as data annotators: AMALIA on authority

A national language model offers a linguistic community its own instrument for measuring what its citizens say and va...

AI 聚合
2026-07-10
arXiv

The Illusion of Equivalency: Statistical Characterization of Quantization Effects in LLMs

Post-training quantization is widely used to deploy large language models in resource-constrained settings, yet its e...

AI 聚合
2026-07-10
arXiv

Workflow as Knowledge: Semantic Persistence for LLM-Mediated Workflows

Large language model (LLM) applications increasingly use explicit workflows for tool use, retrieval, branching, check...

AI 聚合
2026-07-10
arXiv

AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding

Recent advances in Vision-Language Models, Large Language Models, and Multimodal Large Language Models have improved ...

AI 聚合
2026-07-10
arXiv

Dimensionality Reduction Meets Network Science: Sensemaking on UMAP's kNN Graph

While UMAP is widely used for exploring high-dimensional data, typical workflows focus on its lower-dimensional embed...

AI 聚合
2026-07-10
arXiv

Using AI-based Learning Assistants in Higher Education: A Large-Scale Descriptive Analysis

In this study, we present a large-scale descriptive analysis of the use of an AI-based learning assistant (Syntea) in...

AI 聚合
2026-07-10
arXiv

SLORR: Simple and Efficient In-Training Low-Rank Regularization

Low-rank factorization is widely used to compress neural networks, but modern models are often not naturally amenable...

AI 聚合
2026-07-10
arXiv

Ideas Have Genomes: Benchmarking Scientific Lineage Reasoning and Lineage-Grounded Idea Generation

Scientific ideas rarely start from a blank page. They inherit mechanisms, repair known limitations, and recombine pie...

AI 聚合
2026-07-10
arXiv

OpenCoF: Learning to Reason Through Video Generation

Reasoning has become a core capability for large models, especially when reliable decisions require understanding log...

AI 聚合
2026-07-10
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