Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Zhengyi Zhao 0001

dblp:270/4110-1 · DBLP profile ↗
← Back
6ranked-venue papers
5as first author
6since 2021 · last 2026
0009-0000-8670-0646ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 6 · 5 first-author · 6 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
4 papers
Language models and text generation · 35% Vision and language · 33% Information extraction and text analysis · 16%
Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

Topics — the 9 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis
event extraction
1.012026
EventWeave: A Dynamic Framework for Capturing Core and Supporting Events in Dialogue Systems · ACL (1) 2026
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge engineering
knowledge integration
1.012026
Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented Generation · ACL (1) 2026
Natural language and speech › Language models and text generation
retrieval-augmented generation
1.012026
Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented Generation · ACL (1) 2026
Computer vision › Vision and language › multimodal understanding
multimodal meme understanding
0.912025
MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models · EMNLP 2025
Computer vision › Vision and language
multimodal understanding
0.912025
MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models · EMNLP 2025
Natural language and speech › Language models and text generation
test-time scaling
0.912025
T2: An Adaptive Test-Time Scaling Strategy for Contextual Question Answering · EMNLP 2025
Information retrieval
retrieval-augmented generation
0.312026
Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented Generation · ACL (1) 2026
Natural language and speech › Language models and text generation › large language model inference
inference-time computation
0.312025
T2: An Adaptive Test-Time Scaling Strategy for Contextual Question Answering · EMNLP 2025
Computer vision › Vision and language › vision-language model
multimodal large language model
0.312025
MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models · EMNLP 2025

Methods — techniques the papers use, named apart from their topics

joint decoding · 2.0dynamic event framework · 1.0visual question answering · 0.9contextual reasoning · 0.9chain-of-thought · 0.9adaptive test-time scaling · 0.9
YearPublicationVenuePosition
2026 EventWeave: A Dynamic Framework for Capturing Core and Supporting Events in Dialogue Systems
abstract
Zhengyi Zhao, Shubo Zhang, Yiming Du, Bin Liang, Baojun Wang, Zhongyang Li, Binyang Li, Kam-Fai Wong. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Zhengyi Zhao 0001, Shubo Zhang, Yiming Du, Bin Liang 0004, Baojun Wang, Binyang Li, Kam-Fai Wong
ACL (1)1
2026 Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented Generation
abstract
Zhengyi Zhao, Shubo Zhang, Zezhong Wang, Yuxi Zhang, Huimin Wang, Yutian Zhao, Yefeng Zheng, Binyang Li, Kam-Fai Wong, Xian Wu. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Zhengyi Zhao 0001, Shubo Zhang, Zezhong Wang 0004, Yutian Zhao, Yefeng Zheng 0001, Binyang Li, Kam-Fai Wong, Xian Wu 0001
ACL (1)1
2026 Bridging Auxiliary Constraints to Resolve Instruction Following in Large Reasoning Models
abstract
Abstract Large Reasoning Models (LRMs) have demonstrated impressive capabilities in many tasks, yet they struggle with reliably following multiple instructions, either by failing to satisfy individual constraints or by struggling to balance competing constraints simultaneously. We formalize this challenge as the Constraint Adherence Problem (CAP). This paper introduces a novel framework that addresses CAP by representing instructions as a structured knowledge graph of constraints. Our approach, Constraint Relationship Graph Completion (CRGC), explicitly models relationships between constraints, identifies adherence challenges, and discovers “bridge constraints” that help the model better focus on and reconcile requirements. Bridge constraints act as auxiliary instructions that make primary constraints more salient and compatible. Unlike existing approaches that enhance instruction following through general training methods, CRGC specifically improves constraint satisfaction by leveraging the model’s own knowledge to create better pathways for generation. Experiments across three popular instruction following datasets demonstrate that our approach reduces constraint violations by 39% compared to standard prompting while maintaining reasoning abilities of large reasoning models.
Zhengyi Zhao 0001, Shubo Zhang, Zezhong Wang 0004, Yutian Zhao, Yefeng Zheng 0001, Binyang Li, Yulan He 0001, Kam-Fai Wong, Xian Wu 0001
Trans. Assoc. Comput. Linguistics1
2025 T2: An Adaptive Test-Time Scaling Strategy for Contextual Question Answering
abstract
Zhengyi Zhao, Shubo Zhang, Zezhong Wang, Huimin Wang, Yutian Zhao, Bin Liang, Yefeng Zheng, Binyang Li, Kam-Fai Wong, Xian Wu. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025.
Zhengyi Zhao 0001, Shubo Zhang, Zezhong Wang 0004, Yutian Zhao, Bin Liang 0004, Yefeng Zheng 0001, Binyang Li, Kam-Fai Wong, Xian Wu 0001
EMNLP1
2025 MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models
abstract
Zhengyi Zhao, Shubo Zhang, Yuxi Zhang, Yanxi Zhao, Yifan Zhang, Zezhong Wang, Huimin Wang, Yutian Zhao, Bin Liang, Yefeng Zheng, Binyang Li, Kam-Fai Wong, Xian Wu. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025.
Zhengyi Zhao 0001, Shubo Zhang, Yanxi Zhao, Yifan Zhang 0004, Zezhong Wang 0004, Yutian Zhao, Bin Liang 0004, Yefeng Zheng 0001, Binyang Li, Kam-Fai Wong, Xian Wu 0001
EMNLP1
2024 TGAN: Temporal-Aware Graph Attention Network for Early Rumor Detection in Social Media
Shubo Zhang, Zhengyi Zhao 0001, Binyang Li, Kam-Fai Wong
NLPCC (4)3