Deep Learning
ToolQA: A Dataset for LLM Question Answering with External Tools Y uchen Zhuang, Yue Y u, Kuan Wang, Haotian Sun, Chao Zhang College of Computing, Georgia Institute of Technology, Atlanta GA
Our development of ToolQA involved a scalable, automated process for dataset curation, along with 13 specialized tools designed for interaction with external knowledge in order to answer questions.
Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles Benjamin S. Ruben
The random forest method is a popular example [3, 7].
Coop: Memory is not a Commodity
To address this issue, we propose to evict tensors within a sliding window to ensure all evictions are contiguous and are immediately used.
BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing Subhro Roy 1 Sam Thomson 1 T ongfei Chen 1 Richard Shin 1
Our benchmark supports evaluation of language models using prompt-based learning as well as fine-tuning.
