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20212023
most citedCondensing Graphs via One-Step Gradient Matching

77 citations · 139 across the 16 of their papers we have counts for

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8 papers · 1 filter

cs.CL2023

Graph Reasoning for Question Answering with Triplet Retrieval

Shiyang Li, Yifan Gao, Haoming Jiang +5

Answering complex questions often requires reasoning over knowledge graphs (KGs). State-of-the-art methods often utilize entities in questions to retrieve local subgraphs, which ar…

cs.CL2023★ 3 cited

CCGen: Explainable Complementary Concept Generation in E-Commerce

Jie Huang, Yifan Gao, Zheng Li +7

We propose and study Complementary Concept Generation (CCGen): given a concept of interest, e.g., "Digital Cameras", generating a list of complementary concepts, e.g., 1) Camera Le…

cs.CL2023★ 2 cited

SCOTT: Self-Consistent Chain-of-Thought Distillation

Peifeng Wang, Zhengyang Wang, Zheng Li +3

Large language models (LMs) beyond a certain scale, demonstrate the emergent capability of generating free-text rationales for their predictions via chain-of-thought (CoT) promptin…

cs.CL2023★ 9 cited

HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers

Chen Liang, Haoming Jiang, Zheng Li +3

Knowledge distillation has been shown to be a powerful model compression approach to facilitate the deployment of pre-trained language models in practice. This paper focuses on tas…

cs.CL2022★ 2 cited

FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery

Changlong Yu, Weiqi Wang, Xin Liu +6

Understanding users' intentions in e-commerce platforms requires commonsense knowledge. In this paper, we present FolkScope, an intention knowledge graph construction framework to…

cs.CL2022★ 1 cited

Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding

Haoming Jiang, Tianyu Cao, Zheng Li +6

E-commerce query understanding is the process of inferring the shopping intent of customers by extracting semantic meaning from their search queries. The recent progress of pre-tra…