Demo Data from EDBT 2026 / reviewers in the wild / expert
Bryan Chen Zhengyu Tan
dblp:401/6467
· DBLP profile ↗
4ranked-venue papers
3as first author
4since 2021 · last 2026
0009-0002-0428-9641ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 4 · 3 first-author · 4 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
3 papers |
Language models and text generation · 51% Trustworthy machine learning · 29% Vision and language · 16% |
Topics — the 7 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Vision and language
cross-modal alignment |
1.0 | 1 | 2026 | MMAC: A Multilingual, Multimodal Alignment Framework for Cultural Grounding Evaluation · ACL (1) 2026 |
Natural language and speech › Language models and text generation › alignment › pluralistic alignment
cultural alignment |
1.0 | 1 | 2026 | Can Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural Alignment · ACL (1) 2026 |
Machine learning › Trustworthy machine learning
fairness |
1.0 | 1 | 2026 | Can Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural Alignment · ACL (1) 2026 |
Natural language and speech › Language models and text generation › evaluation of language models › multilingual evaluation
multilingual language model evaluation |
1.0 | 1 | 2026 | MMAC: A Multilingual, Multimodal Alignment Framework for Cultural Grounding Evaluation · ACL (1) 2026 |
Natural language and speech › Language models and text generation › prompting
persona prompting |
1.0 | 1 | 2026 | Can Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural Alignment · ACL (1) 2026 |
Machine learning › Trustworthy machine learning › large language model trustworthiness
large language model robustness |
0.9 | 1 | 2025 | Persuasion Dynamics in LLMs: Investigating Robustness and Adaptability in Knowledge and Safety with DuET-PD · EMNLP 2025 |
Natural language and speech › Language models and text generation › alignment
sycophancy |
0.3 | 1 | 2025 | Persuasion Dynamics in LLMs: Investigating Robustness and Adaptability in Knowledge and Safety with DuET-PD · EMNLP 2025 |
Methods — techniques the papers use, named apart from their topics
persona prompting · 1.0multimodal alignment · 1.0empirical analysis · 1.0holistic DPO · 0.9direct preference optimization · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Can Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural AlignmentabstractBryan Chen Zhengyu Tan, Zhengyuan Liu, Xiaoyuan Yi, Jing Yao, Xing Xie, Nancy F. Chen, Roy Ka-Wei Lee. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026. Bryan Chen Zhengyu Tan, Zhengyuan Liu, Xiaoyuan Yi, Jing Yao 0003, Xing Xie 0001, Nancy F. Chen, Roy Ka-Wei Lee |
ACL (1) | 1 |
| 2026 | MMAC: A Multilingual, Multimodal Alignment Framework for Cultural Grounding EvaluationabstractWeihua Zheng, Zhengyuan Liu, Tanmoy Chakraborty, Weiwen Xu, Xiaoxue Gao, Bryan Chen Zhengyu Tan, Bowei Zou, Chang Liu, Yujia Hu, Xing Xie, Xiaoyuan Yi, Jing Yao, Chaojun Wang, Long Li, Rui Liu, Huiyao Liu, Koji Inoue, Ryuichi Sumida, Tatsuya Kawahara, Fan Xu, Lingyu Ye, Wei Tian, Dongjun Kim, Jimin Jung, Jaehyung Seo, Nadya Yuki Wangsajaya, Pham Minh Duc, Ojasva Saxena, Palash Nandi, Xiyan Tao, Wiwik Karlina, Tuan Luong, Keertana Arun Vasan, Roy Ka-Wei Lee, Nancy F. Chen. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026. Zhengyuan Liu, Tanmoy Chakraborty 0002, Weiwen Xu, Xiaoxue Gao, Bryan Chen Zhengyu Tan, Bowei Zou, Chang Liu 0071, Xing Xie 0001, Xiaoyuan Yi, Jing Yao 0003, Chaojun Wang, Rui Liu 0019, Huiyao Liu, Koji Inoue, Ryuichi Sumida, Tatsuya Kawahara, Lingyu Ye, Jimin Jung, Jaehyung Seo, Nadya Yuki Wangsajaya, Pham Minh Duc, Ojasva Saxena, Palash Nandi, Xiyan Tao, Wiwik Karlina, Tuan Luong, Keertana Arun Vasan, Roy Ka-Wei Lee, Nancy F. Chen |
ACL (1) | 6 |
| 2025 | Persuasion Dynamics in LLMs: Investigating Robustness and Adaptability in Knowledge and Safety with DuET-PDabstractLarge Language Models (LLMs) can struggle to balance gullibility to misinformation and resistance to valid corrections in persuasive dialogues, a critical challenge for reliable deployment.We introduce DuET-PD (Dual Evaluation for Trust in Persuasive Dialogues), a framework evaluating multi-turn stancechange dynamics across dual dimensions: persuasion type (corrective/misleading) and domain (knowledge via MMLU-Pro, and safety via SALAD-Bench).We find that even a stateof-the-art model like GPT-4o achieves only 27.32% accuracy in MMLU-Pro under sustained misleading persuasions.Moreover, results reveal a concerning trend of increasing sycophancy in newer open-source models.To address this, we introduce Holistic DPO, a training approach balancing positive and negative persuasion examples.Unlike prompting or resist-only training, Holistic DPO enhances both robustness to misinformation and receptiveness to corrections, improving Llama-3.1-8B-Instruct'saccuracy under misleading persuasion in safety contexts from 4.21% to 76.54%.These contributions offer a pathway to developing more reliable and adaptable LLMs for multi-turn dialogue.Code is available at https://github.com/Social-AI-Studio/DuET-PD. Bryan Chen Zhengyu Tan, Daniel Wai Kit Chin, Zhengyuan Liu, Nancy F. Chen, Roy Ka-Wei Lee |
EMNLP | 1 |
| 2025 | Unmasking Implicit Bias: Evaluating Persona-Prompted LLM Responses in Power-Disparate Social ScenariosabstractBryan Chen Zhengyu Tan, Roy Ka-Wei Lee. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2025. Bryan Chen Zhengyu Tan, Roy Ka-Wei Lee |
NAACL (Long Papers) | 1 |