1 citations · 1 across the 5 of their papers we have counts for
5 papers
Explaining and Tuning Transformer-based LLMs in Arithmetic Tasks with Human Strategies
Luyu Qiu, Jianing Li, Hwanhee Kim +4
Transformer-based large language models (LLMs) continue to achieve state-of-the-art performance across various natural language processing tasks. However, their subpar performance…
Interactive Text-to-SQL via Expected Information Gain for Disambiguation
Luyu Qiu, Jianing Li, Chi Su +1
Relational databases are foundational to numerous domains, including business intelligence, scientific research, and enterprise systems. However, accessing and analyzing structured…
Exposing Numeracy Gaps: A Benchmark to Evaluate Fundamental Numerical Abilities in Large Language Models
Haoyang Li, Xuejia Chen, Zhanchao XU +8
Large Language Models (LLMs) have demonstrated impressive capabilities in natural language processing tasks, such as text generation and semantic understanding. However, their perf…
Dissecting Multiplication in Transformers: Insights into LLMs
Luyu Qiu, Jianing Li, Chi Su +2
Transformer-based large language models have achieved remarkable performance across various natural language processing tasks. However, they often struggle with seemingly easy task…
XPose: eXplainable Human Pose Estimation
Luyu Qiu, Jianing Li, Lei Wen +4
Current approaches in pose estimation primarily concentrate on enhancing model architectures, often overlooking the importance of comprehensively understanding the rationale behind…