most citedPanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing

7 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL20241 cited

UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval

Hongru Wang, Boyang Xue, Baohang Zhou +5

Conversational retrieval refers to an information retrieval system that operates in an iterative and interactive manner, requiring the retrieval of various external resources, such…

cs.CR2024

IoTWarden: A Deep Reinforcement Learning Based Real-time Defense System to Mitigate Trigger-action IoT Attacks

Md Morshed Alam, Israt Jahan, Weichao Wang

In trigger-action IoT platforms, IoT devices report event conditions to IoT hubs notifying their cyber states and let the hubs invoke actions in other IoT devices based on function…

cs.CL2023

Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment

Boyang Xue, Weichao Wang, Hongru Wang +7

Pretrained language models (PLMs) based knowledge-grounded dialogue systems are prone to generate responses that are factually inconsistent with the provided knowledge source. In s…

cs.CL20231 cited

Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogue

Hongru Wang, Minda Hu, Yang Deng +7

Open-domain dialogue system usually requires different sources of knowledge to generate more informative and evidential responses. However, existing knowledge-grounded dialogue sys…

cs.CL20237 cited

PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing

Xiaozhe Ren, Pingyi Zhou, Xinfan Meng +14

The scaling of large language models has greatly improved natural language understanding, generation, and reasoning. In this work, we develop a system that trained a trillion-param…