1 citations · 3 across the 6 of their papers we have counts for
6 papers
Personalizing Mathematical Game-based Learning for Children: A Preliminary Study
Jie Gao, Adam K. Dubé
Game-based learning (GBL) is widely adopted in mathematics education. It enhances learners' engagement and critical thinking throughout the mathematics learning process. However, e…
CoCo-Bench: A Comprehensive Code Benchmark For Multi-task Large Language Model Evaluation
Wenjing Yin, Tianze Sun, Yijiong Yu +19
Large language models (LLMs) play a crucial role in software engineering, excelling in tasks like code generation and maintenance. However, existing benchmarks are often narrow in…
TALEC: Teach Your LLM to Evaluate in Specific Domain with In-house Criteria by Criteria Division and Zero-shot Plus Few-shot
Kaiqi Zhang, Shuai Yuan, Honghan Zhao
With the rapid development of large language models (LLM), the evaluation of LLM becomes increasingly important. Measuring text generation tasks such as summarization and article c…
KS-Lottery: Finding Certified Lottery Tickets for Multilingual Language Models
Fei Yuan, Chang Ma, Shuai Yuan +2
The lottery ticket hypothesis posits the existence of ``winning tickets'' within a randomly initialized neural network. Do winning tickets exist for LLMs in fine-tuning scenarios?…
Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models
Fangzhi Xu, Zhiyong Wu, Qiushi Sun +6
Although Large Language Models (LLMs) demonstrate remarkable ability in processing and generating human-like text, they do have limitations when it comes to comprehending and expre…
How Vocabulary Sharing Facilitates Multilingualism in LLaMA?
Fei Yuan, Shuai Yuan, Zhiyong Wu +1
Large Language Models (LLMs), often show strong performance on English tasks, while exhibiting limitations on other languages. What is an LLM's multilingual capability when it is t…