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20142025
most citedAttention Guided Graph Convolutional Networks for Relation Extraction

81 citations · 497 across the 67 of their papers we have counts for

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Showing 2023Show all

15 papers · 1 filter

cs.CL2023

Tell2Design: A Dataset for Language-Guided Floor Plan Generation

Sicong Leng, Yang Zhou, Mohammed Haroon Dupty +3

We consider the task of generating designs directly from natural language descriptions, and consider floor plan generation as the initial research area. Language conditional genera…

cs.SC2023

Stability Problems on D-finite Functions

Shaoshi Chen, Ruyong Feng, Zewang Guo +1

This paper continues the studies of symbolic integration by focusing on the stability problems on D-finite functions. We introduce the notion of stability index in order to investi…

cond-mat.mtrl-sci2023★ 2 cited

Generative modeling, design and analysis of spider silk protein sequences for enhanced mechanical properties

Wei Lu, David L. Kaplan, Markus J. Buehler

Spider silks are remarkable materials characterized by superb mechanical properties such as strength, extensibility and lightweightedness. Yet, to date, limited models are availabl…

cs.IT2023

Two classes of reducible cyclic codes with large minimum symbol-pair distances

Xiaoqiang Wang, Yue Su, Dabin Zheng +1

The high-density data storage technology aims to design high-capacity storage at a relatively low cost. In order to achieve this goal, symbol-pair codes were proposed by Cassuto an…

cs.CL2023★ 1 cited

One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning

Guangtao Zeng, Peiyuan Zhang, Wei Lu

Fine-tuning pre-trained language models for multiple tasks tends to be expensive in terms of storage. To mitigate this, parameter-efficient transfer learning (PETL) methods have be…

cs.CL2023★ 1 cited

Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning

Zhanming Jie, Wei Lu

Chain-of-thought (CoT) prompting with large language models has proven effective in numerous natural language processing tasks, but designing prompts that generalize well to divers…