3 papers
cs.CL2026
GraphIF: Enhancing Multi-Turn Instruction Following for Large Language Models with Relation Graph Prompt
Zhenhe Li, Can Lin, Ling Zheng +3
Multi-turn instruction following is essential for building intelligent conversational systems that can consistently adhere to instructions across dialogue turns. However, existing…
cs.LG2025
CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables
Pengfei Zhou, Yunlong Liu, Junli Liang +2
Time series forecasting with exogenous variables is a critical emerging paradigm that presents unique challenges in modeling dependencies between variables. Traditional models ofte…
cs.CL2025
TeleEval-OS: Performance evaluations of large language models for operations scheduling
Yanyan Wang, Yingying Wang, Junli Liang +10
The rapid advancement of large language models (LLMs) has significantly propelled progress in artificial intelligence, demonstrating substantial application potential across multip…