activity
20192024
most citedCodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

416 citations · 576 across the 34 of their papers we have counts for

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Showing cs.CLShow all

38 papers · 1 filter

cs.CL2024

Hypertext Entity Extraction in Webpage

Yifei Yang, Tianqiao Liu, Bo Shao +4

Webpage entity extraction is a fundamental natural language processing task in both research and applications. Nowadays, the majority of webpage entity extraction models are traine…

cs.CL20241 cited

Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers

Nuo Chen, Ning Wu, Shining Liang +4

This paper presents an in-depth analysis of Large Language Models (LLMs), focusing on LLaMA, a prominent open-source foundational model in natural language processing. Instead of a…

cs.CL2023

Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency

Zilin Xiao, Linjun Shou, Xingyao Zhang +4

Previous entity disambiguation (ED) methods adopt a discriminative paradigm, where prediction is made based on matching scores between mention context and candidate entities using…

cs.CL2023

Instructed Language Models with Retrievers Are Powerful Entity Linkers

Zilin Xiao, Ming Gong, Jie Wu +4

Generative approaches powered by large language models (LLMs) have demonstrated emergent abilities in tasks that require complex reasoning abilities. Yet the generative nature stil…

cs.CL2023

Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations

Nuo Chen, Zinan Zheng, Ning Wu +3

Existing research predominantly focuses on developing powerful language learning models (LLMs) for mathematical reasoning within monolingual languages, with few explorations in pre…

cs.CL20221 cited

Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA

Junjie Huang, Wanjun Zhong, Qian Liu +3

Retrieving evidences from tabular and textual resources is essential for open-domain question answering (OpenQA), which provides more comprehensive information. However, training a…