6 citations · 8 across the 2 of their papers we have counts for
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cs.CL2026
Agent-R: Scaling Agents for Realistic Productivity Work via Real-Source Data Synthesis
Teng Pan, Zixuan Wang, Yuchen Yan +5
Large language models have made rapid progress in agentic reasoning and tool use, raising expectations for agents that can take over realistic productivity work from humans. Howeve…
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…
cs.CL2022★ 6 cited
A Thorough Examination on Zero-shot Dense Retrieval
Ruiyang Ren, Yingqi Qu, Jing Liu +6
Recent years have witnessed the significant advance in dense retrieval (DR) based on powerful pre-trained language models (PLM). DR models have achieved excellent performance in se…