Hongzhan Lin
Hongzhan Lin has 3 papers in our library, in 2024–2026, most of them on Sentiment & emotion, Vision & language; often with Jing Ma, Ziyang Luo, Kaixin Li.
OpenAlex · ORCID · Wikidata · h-index 11 · 53 works · 501 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 69 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #8162
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksComputer Vision and Pattern Recognition · 1 workArts and Humanities · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 1 workSociology and Political Science · 1 work
🧭 Topics 2Research subjects and languages the work is about.Sentiment & emotion · 1 workVision & language · 1 work
Works by year
2020s
Papers
- CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models (2024 · 20 citations)
The paper tackles Multimodal Sarcasm Target Identification (MSTI), which means locating the mocked entity in a social-media post as both a text span and an image bounding box. - FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models (2025 · 15 citations)
Fact-checking ability in LLMs is usually measured with fixed, human-annotated benchmarks scored by classification accuracy. - From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms (2026 · 3 citations)
LLM-based agents are stateless by default. They struggle to stay coherent across long multi-step tasks and cannot learn from earlier interactions. Work on agent memory is split between an engineering camp that borrows operating-system ideas and a camp that imitates human cognition. Earlier surveys mostly catalogue…
All works
- Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetHongzhan Lin et al.2021 · 85 citations
- Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning ↗Findings of the Association for Computational Linguistics: NAACL 2022 · no summary yetHongzhan Lin et al.2022 · 81 citations
- CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zixin Chen, Hongzhan Lin, Ziyang Luo, et al.2024 · 20 citations
- FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongzhan Lin, Yang Deng, Yuxuan Gu, et al.2025 · 15 citations
- From Storage to Experience: A Survey on the Evolution of LLM Agent Memory MechanismsFindings of the Association for Computational LinguisticsJinghao Luo, Yuchen Tian, Chuxue Cao, et al.2026 · 3 citations
- AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetZiyang Luo et al.2024 · 2 citations
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2025, ACL 2024
- Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ×2
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Findings of the Association for Computational Linguistics: NAACL 2022
Cited by
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