paper-with-me

홈 › Papers

Chocs technologiques, chocs des prix et fluctuations du ch\^omage en R\'epublique D\'emocratique du Congo

2018-04-23

The main purpose of this research is to analyze the effects of macroeconomic shocks on unemployment fluctuations in the Democratic Republic of Congo (DRC). Using the SVECM model on DRC data for the period 1960 to 2014, the conclusion is that the high and persistent level of unemployment is mainly explained permanently by technological and price shocks.

📄 PDF Abstract BibTeX arXiv:1804.09532

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

PRIX: Learning to Plan from Raw Pixels for End-to-End Autonomous Driving

2025-07-23 · Maciej K. Wozniak, Lianhang Liu, Yixi Cai, Patric Jensfelt arxiv

While end-to-end autonomous driving models show promising results, their practical deployment is often hindered by large model sizes, a reliance on expensive LiDAR sensors and computationally intensive BEV feature repres…

Autonomous Driving

DomAgent: Leveraging Knowledge Graphs and Case-Based Reasoning for Domain-Specific Code Generation

2026-03-22 · Shuai Wang, Dhasarathy Parthasarathy, Robert Feldt, Yinan Yu arxiv

Large language models (LLMs) have shown impressive capabilities in code generation. However, because most LLMs are trained on public domain corpora, directly applying them to real-world software development often yields …

Domain AdaptationKnowledge GraphsCode Generation

AromaGen: Interactive Generation of Rich Olfactory Experiences with Multimodal Language Models

2026-04-02 · Yunge Wen, Awu Chen, Jianing Yu, Jas Brooks 외 arxiv

Smell's deep connection with food, memory, and social experience has long motivated researchers to bring olfaction into interactive systems. Yet most olfactory interfaces remain limited to fixed scent cartridges and pre-…

ComAgent: Multi-LLM based Agentic AI Empowered Intelligent Wireless Networks

2026-01-27 · Haoyun Li, Ming Xiao, Kezhi Wang, Robert Schober 외 arxiv

Emerging 6G networks rely on complex cross-layer optimization, yet manually translating high-level intents into mathematical formulations remains a bottleneck. While Large Language Models (LLMs) offer promise, monolithic…

VideoMage: Multi-Subject and Motion Customization of Text-to-Video Diffusion Models

2025-03-27 · CVPR 2025 1 · Chi-Pin Huang, Yen-Siang Wu, Hung-Kai Chung, Kai-Po Chang 외

Customized text-to-video generation aims to produce high-quality videos that incorporate user-specified subject identities or motion patterns. However, existing methods mainly focus on personalizing a single concept, eit…

Text-to-Video GenerationVideo Generation