most citedPolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba

29 citations · 38 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2024

An Unsupervised Dialogue Topic Segmentation Model Based on Utterance Rewriting

Xia Hou, Qifeng Li, Tongliang Li

Dialogue topic segmentation plays a crucial role in various types of dialogue modeling tasks. The state-of-the-art unsupervised DTS methods learn topic-aware discourse representati…

cs.CL2024★ 7 cited

xCoT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning

Linzheng Chai, Jian Yang, Tao Sun +8

Chain-of-thought (CoT) has emerged as a powerful technique to elicit reasoning in large language models and improve a variety of downstream tasks. CoT mainly demonstrates excellent…

cs.CV2024

SVIPTR: Fast and Efficient Scene Text Recognition with Vision Permutable Extractor

Xianfu Cheng, Weixiao Zhou, Xiang Li +8

Scene Text Recognition (STR) is an important and challenging upstream task for building structured information databases, that involves recognizing text within images of natural sc…

cs.CL2023★ 2 cited

MT4CrossOIE: Multi-stage Tuning for Cross-lingual Open Information Extraction

Tongliang Li, Zixiang Wang, Linzheng Chai +8

Cross-lingual open information extraction aims to extract structured information from raw text across multiple languages. Previous work uses a shared cross-lingual pre-trained mode…

cs.CL2023

Unleashing Potential of Evidence in Knowledge-Intensive Dialogue Generation

Xianjie Wu, Jian Yang, Tongliang Li +4

Incorporating external knowledge into dialogue generation (KIDG) is crucial for improving the correctness of response, where evidence fragments serve as knowledgeable snippets supp…

cs.DB2023★ 29 cited

PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba

Jianying Wang, Tongliang Li, Haoze Song +21

Cloud-native databases have become the de-facto choice for mission-critical applications on the cloud due to the need for high availability, resource elasticity, and cost efficienc…