2 citations · 3 across the 4 of their papers we have counts for
4 papers
KOCO-BENCH: Can Large Language Models Leverage Domain Knowledge in Software Development?
Xue Jiang, Ge Li, Jiaru Qian +12
Large language models (LLMs) excel at general programming but struggle with domain-specific software development, necessitating domain specialization methods for LLMs to learn and…
Refining Labeling Functions with Limited Labeled Data
Chenjie Li, Amir Gilad, Boris Glavic +2
Programmatic weak supervision (PWS) significantly reduces human effort for labeling data by combining the outputs of user-provided labeling functions (LFs) on unlabeled datapoints.…
LLM-assisted Labeling Function Generation for Semantic Type Detection
Chenjie Li, Dan Zhang, Jin Wang
Detecting semantic types of columns in data lake tables is an important application. A key bottleneck in semantic type detection is the availability of human annotation due to the…
Putting Things into Context: Rich Explanations for Query Answers using Join Graphs (extended version)
Chenjie Li, Zhengjie Miao, Qitian Zeng +2
In many data analysis applications, there is a need to explain why a surprising or interesting result was produced by a query. Previous approaches to explaining results have direct…