Guoxiu He

Orcid: 0000-0002-1419-7495

According to our database1, Guoxiu He authored at least 36 papers between 2018 and 2026.

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

Timeline

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Links

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Bibliography

2026
Enhancing belief consistency of large language model agents in decision-making process based on attribution theory.
Expert Syst. Appl., 2026

2025
Chain-of-Thought Prompting Obscures Hallucination Cues in Large Language Models: An Empirical Evaluation.
CoRR, June, 2025

Benchmarking and Rethinking Knowledge Editing for Large Language Models.
CoRR, May, 2025

Measuring academic cocoon from disparity and diversity perspectives.
Scientometrics, April, 2025

Knowledge Updating? No More Model Editing! Just Selective Contextual Reasoning.
CoRR, March, 2025

Metacognitive symbolic distillation framework for multi-choice machine reading comprehension.
Knowl. Based Syst., 2025

Sequential citation counts prediction enhanced by dynamic contents.
J. Informetrics, 2025

Few-shot medical relation extraction via prompt tuning enhanced pre-trained language model.
Neurocomputing, 2025

Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Interweaving Memories of a Siamese Large Language Model.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Predicting the emergence of disruptive technologies by comparing with references via soft prompt-aware shared BERT.
J. Informetrics, February, 2024

Text Clustering as Classification with LLMs.
CoRR, 2024

Tree-Based Hard Attention with Self-Motivation for Large Language Models.
CoRR, 2024

Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval Bias.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Silent LLMs: Using LoRA to Enable LLMs to Identify Hate Speech.
Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries, 2024

Divide and Conquer: Prompting Large Language Models to Identify Personalities in Long Social Posts via Chunked Voting.
Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries, 2024

Recurrent Alignment with Hard Attention for Hierarchical Text Rating.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

How to Measure Information Cocoon in Academic Environment.
Proceedings of Joint Workshop of the 5th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2024) and the 4th AI + Informetrics (AII2024) co-located with the ( iConference2024), 2024

Predicting Scientific Impact Through Diffusion, Conformity, and Contribution Disentanglement.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
H<sup>2</sup>CGL: Modeling dynamics of citation network for impact prediction.
Inf. Process. Manag., November, 2023

COVID-19: a disruptive impact on the knowledge support of references.
Scientometrics, August, 2023

Re-examining lexical and semantic attention: Dual-view graph convolutions enhanced BERT for academic paper rating.
Inf. Process. Manag., 2023

Disentangling the Potential Impacts of Papers into Diffusion, Conformity, and Contribution Values.
CoRR, 2023

Research Explosion: More Effort to Climb onto Shoulders of the Giant.
CoRR, 2023

H2CGL: Modeling Dynamics of Citation Network for Impact Prediction.
CoRR, 2023

2021
A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction Analysis.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Modularized Interaction Network for Named Entity Recognition.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Read Beyond the Lines: Understanding the Implied Textual Meaning via a Skim and Intensive Reading Model.
CoRR, 2020

Creating a Children-Friendly Reading Environment via Joint Learning of Content and Human Attention.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Think Beyond the Word: Understanding the Implied Textual Meaning by Digesting Context, Local, and Noise.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Implicit Products in the Decentralized eCommerce Ecosystems.
Proceedings of the JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020

2019
Finding Camouflaged Needle in a Haystack?: Pornographic Products Detection via Berrypicking Tree Model.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Keyphrase Extraction Based on Prior Knowledge.
Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018

Entire Information Attentive GRU for Text Representation.
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018


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