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cs.CL2026
FAB-Bench: A Framework for Adaptive RAG Benchmarking in Semiconductor Manufacturing
Jingbin Qian, Congwen Yi, Min Xia +3
Retrieval-Augmented Generation (RAG) has become critical for knowledge-intensive applications, yet evaluating its performance in vertical domains remains difficult due to domain co…
cs.CL2026★ 2 cited
ERNIE 5.0 Technical Report
Haifeng Wang, Hua Wu, Tian Wu +432
In this report, we introduce ERNIE 5.0, a natively autoregressive foundation model desinged for unified multimodal understanding and generation across text, image, video, and audio…