activity
20232026
most citedKoLA: Carefully Benchmarking World Knowledge of Large Language Models

24 citations · 43 across the 17 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CL2024

Awaking the Slides: A Tuning-free and Knowledge-regulated AI Tutoring System via Language Model Coordination

Daniel Zhang-Li, Zheyuan Zhang, Jifan Yu +8

The vast pre-existing slides serve as rich and important materials to carry lecture knowledge. However, effectively leveraging lecture slides to serve students is difficult due to…

cs.CY2024★ 5 cited

From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents

Jifan Yu, Zheyuan Zhang, Daniel Zhang-li +30

Since the first instances of online education, where courses were uploaded to accessible and shared online platforms, this form of scaling the dissemination of human knowledge to r…

cs.CL2024★ 9 cited

Simulating Classroom Education with LLM-Empowered Agents

Zheyuan Zhang, Daniel Zhang-Li, Jifan Yu +9

Large language models (LLMs) have been applied across various intelligent educational tasks to assist teaching. While preliminary studies have focused on task-specific, independent…

cs.CL2024★ 1 cited

Reverse That Number! Decoding Order Matters in Arithmetic Learning

Daniel Zhang-Li, Nianyi Lin, Jifan Yu +6

Recent advancements in pretraining have demonstrated that modern Large Language Models (LLMs) possess the capability to effectively learn arithmetic operations. However, despite ac…

cs.CL2024★ 3 cited

TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Xiaokang Zhang, Sijia Luo, Bohan Zhang +12

We introduce TableLLM, a robust large language model (LLM) with 8 billion parameters, purpose-built for proficiently handling tabular data manipulation tasks, whether they are embe…