activity
20192026
most citedPre-Training with Whole Word Masking for Chinese BERT

1.2k citations · 1.3k across the 35 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

eess.SP2023★ 2 cited

UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language

Nuwa Xi, Sendong Zhao, Haochun Wang +3

Decoding text stimuli from cognitive signals (e.g. fMRI) enhances our understanding of the human language system, paving the way for building versatile Brain-Computer Interface. Ho…

cs.CL2023★ 1 cited

NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing

Tingting Wu, Xiao Ding, Minji Tang +3

Large-scale datasets in the real world inevitably involve label noise. Deep models can gradually overfit noisy labels and thus degrade model generalization. To mitigate the effects…

cs.CL2023★ 36 cited

Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate

Kai Xiong, Xiao Ding, Yixin Cao +2

Large Language Models (LLMs) have shown impressive capabilities in various applications, but they still face various inconsistency issues. Existing works primarily focus on the inc…

cs.CL2023★ 5 cited

Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation

Jinglong Gao, Xiao Ding, Bing Qin +1

Causal reasoning ability is crucial for numerous NLP applications. Despite the impressive emerging ability of ChatGPT in various NLP tasks, it is unclear how well ChatGPT performs…

cs.CL2023★ 97 cited

HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge

Haochun Wang, Chi Liu, Nuwa Xi +4

Large Language Models (LLMs), such as the LLaMA model, have demonstrated their effectiveness in various general-domain natural language processing (NLP) tasks. Nevertheless, LLMs h…