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cs.CL2025
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.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…