2 citations · 4 across the 18 of their papers we have counts for
3 papers · 1 filter
TGR-EvoDAG: A DAG-based Multi-Agent Code Evolution Framework for Generative Recommendation on Tencent
Junlin He, Junzhang Zhu, Yudong Li +5
Large Language Model (LLM) agents have enabled automated code evolution for algorithm discovery. However, current recursive self-improvement (RSI) research for sequential recommend…
Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval Augmented Generation Across Learning Style
Debdeep Sanyal, Agniva Maiti, Umakanta Maharana +4
Effective teaching requires adapting instructional strategies to accommodate the diverse cognitive and behavioral profiles of students, a persistent challenge in education and teac…
Olapa-MCoT: Enhancing the Chinese Mathematical Reasoning Capability of LLMs
Shaojie Zhu, Zhaobin Wang, Chengxiang Zhuo +3
In the past two years, the outstanding performance of ChatGPT in multilingual and multitasking has led to large language models (LLMs) attracting widespread attention. However, res…