3 papers
cs.DL2026
Exploring Novelty Differences between Industry and Academia: A Knowledge Entity-centric Perspective
Hongye Zhao, Yi Zhao, Chengzhi Zhang
Academia and industry each possess distinct advantages in advancing technological progress. Academia's core mission is to promote open dissemination of research results and drive d…
cs.CL2026
Quantifying the Knowledge Proximity Between Academic and Industry Research: An Entity and Semantic Perspective
Hongye Zhao, Yi Zhao, Chengzhi Zhang
The academia and industry are characterized by a reciprocal shaping and dynamic feedback mechanism. Despite distinct institutional logics, they have adapted closely in collaborativ…
cs.AI2025
STELLA: Guiding Large Language Models for Time Series Forecasting with Semantic Abstractions
Junjie Fan, Hongye Zhao, Linduo Wei +5
Recent adaptations of Large Language Models (LLMs) for time series forecasting often fail to effectively enhance information for raw series, leaving LLM reasoning capabilities unde…