7 citations · 15 across the 6 of their papers we have counts for
5 papers
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…
XIFBench: Evaluating Large Language Models on Multilingual Instruction Following
Zhenyu Li, Kehai Chen, Yunfei Long +5
Large Language Models (LLMs) have demonstrated remarkable instruction-following capabilities across various applications. However, their performance in multilingual settings lacks…
AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework
Xiang Li, Zhenyu Li, Chen Shi +5
The task of financial analysis primarily encompasses two key areas: stock trend prediction and the corresponding financial question answering. Currently, machine learning and deep…
UniMem: Towards a Unified View of Long-Context Large Language Models
Junjie Fang, Likai Tang, Hongzhe Bi +12
Long-context processing is a critical ability that constrains the applicability of large language models (LLMs). Although there exist various methods devoted to enhancing the long-…
Rigorous noise reduction with quantum autoencoders
Wai-Keong Mok, Hui Zhang, Tobias Haug +6
Reducing noise in quantum systems is a major challenge towards the application of quantum technologies. Here, we propose and demonstrate a scheme to reduce noise using a quantum au…