3 citations · 7 across the 13 of their papers we have counts for
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cs.IR2024
AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark
Jianlyu Chen, Nan Wang, Chaofan Li +6
Evaluation plays a crucial role in the advancement of information retrieval (IR) models. However, current benchmarks, which are based on predefined domains and human-labeled data,…
cs.IR2024★ 3 cited
Making Text Embedders Few-Shot Learners
Chaofan Li, MingHao Qin, Shitao Xiao +5
Large language models (LLMs) with decoder-only architectures demonstrate remarkable in-context learning (ICL) capabilities. This feature enables them to effectively handle both fam…
cs.DB2024★ 1 cited
SEA-SQL: Semantic-Enhanced Text-to-SQL with Adaptive Refinement
Chaofan Li, Yingxia Shao, Yawen Li +1
Recent advancements in large language models (LLMs) have significantly contributed to the progress of the Text-to-SQL task. A common requirement in many of these works is the post-…