51 citations · 57 across the 8 of their papers we have counts for
Showing 2024 · cs.CLShow all
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cs.CL2024★ 2 cited
An Empirical Study on Information Extraction using Large Language Models
Ridong Han, Chaohao Yang, Tao Peng +4
Human-like large language models (LLMs), especially the most powerful and popular ones in OpenAI's GPT family, have proven to be very helpful for many natural language processing (…
cs.CL2024★ 2 cited
Evolutionary Prompt Design for LLM-Based Post-ASR Error Correction
Rithik Sachdev, Zhong-Qiu Wang, Chao-Han Huck Yang
Building upon the strength of modern large language models (LLMs), generative error correction (GEC) has emerged as a promising paradigm that can elevate the performance of modern…
cs.CL2024★ 1 cited
Learning Word Embedding with Better Distance Weighting and Window Size Scheduling
Chaohao Yang, Chris Ding
Distributed word representation (a.k.a. word embedding) is a key focus in natural language processing (NLP). As a highly successful word embedding model, Word2Vec offers an efficie…