Yunhe Pang

Orcid: 0009-0005-2425-8836

Affiliations:
  • Sun Yat-Sen University, School of Computer Science and Engineering, Guangzhou, China
  • North China Electric Power University, School of Control and Computer Engineering, Beijing, China


According to our database1, Yunhe Pang authored at least 10 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
HopWeaver: Cross-Document Synthesis of High-Quality and Authentic Multi-Hop Questions.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

RPC-Bench: A Fine-grained Benchmark for Research Paper Comprehension.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
HopWeaver: Synthesizing Authentic Multi-Hop Questions Across Text Corpora.
CoRR, May, 2025

GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

CARE: A Disagreement Detection Framework with Concept Alignment and Reasoning Enhancement.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

CoE: A Clue of Emotion Framework for Emotion Recognition in Conversations.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
A multi-feature fusion approach based on domain adaptive pretraining for aspect-based sentiment analysis.
Soft Comput., April, 2024

MIND: Effective Incorrect Assignment Detection through a Multi-Modal Structure-Enhanced Language Model.
CoRR, 2024

OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2022
Learnable Dependency-based Double Graph Structure for Aspect-based Sentiment Analysis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022


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