Chengguang Gan

Orcid: 0000-0001-8034-0993

According to our database1, Chengguang Gan authored at least 15 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Application of LLM Agents in Recruitment: A Novel Framework for Automated Resume Screening.
J. Inf. Process., 2024

Empirical Study of Mutual Reinforcement Effect and Application in Few-shot Text Classification Tasks via Prompt.
CoRR, 2024

MMM: Multilingual Mutual Reinforcement Effect Mix Datasets & Test with Open-domain Information Extraction Large Language Models.
CoRR, 2024

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models.
CoRR, 2024

Application of LLM Agents in Recruitment: A Novel Framework for Resume Screening.
CoRR, 2024

Think from Words(TFW): Initiating Human-Like Cognition in Large Language Models Through Think from Words for Japanese Text-Level Classification.
Proceedings of the Natural Language Processing and Information Systems, 2024

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
GIELLM: Japanese General Information Extraction Large Language Model Utilizing Mutual Reinforcement Effect.
CoRR, 2023

USA: Universal Sentiment Analysis Model & Construction of Japanese Sentiment Text Classification and Part of Speech Dataset.
CoRR, 2023

Mutual Reinforcement Effects in Japanese Sentence Classification and Named Entity Recognition Tasks.
CoRR, 2023

Sensitivity and Robustness of Large Language Models to Prompt in Japanese.
CoRR, 2023

Sensitivity and Robustness of Large Language Models to Prompt Template in Japanese Text Classification Tasks.
Proceedings of the 37th Pacific Asia Conference on Language, 2023

Sentence-to-Label Generation Framework for Multi-task Learning of Japanese Sentence Classification and Named Entity Recognition.
Proceedings of the Natural Language Processing and Information Systems, 2023

A Few-Shot Approach to Resume Information Extraction via Prompts.
Proceedings of the Natural Language Processing and Information Systems, 2023

2022
Construction of English Resume Corpus and Test with Pre-trained Language Models.
CoRR, 2022


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