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Demo Data from VLDB 2026 / reviewers in the wild / expert

Kaiyan Chang 0001

dblp:263/7122-1 · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2026
0009-0007-3106-679XORCID · conflict

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

Artificial intelligence and machine learning · 3 · 1 first-author · 3 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
2 papers
Language models and text generation · 60% Machine translation · 40%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Machine translation › neural machine translation
large language model translation		 1.012026
NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs · ACL (1) 2026
Natural language and speech › Language models and text generation
multilingual language models		 1.012026
NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs · ACL (1) 2026
Natural language and speech › Machine translation › neural machine translation
multilingual neural machine translation		 1.012026
NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs · ACL (1) 2026
Natural language and speech › Language models and text generation › reasoning verification
step-level verification		 0.912025
Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models · EMNLP 2025
Natural language and speech › Language models and text generation
test-time scaling		 0.912025
Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models · EMNLP 2025
Natural language and speech › Language models and text generation › large language model inference
inference-time computation		 0.312025
Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models · EMNLP 2025

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

large language model fine-tuning · 1.0hybrid test-time scaling · 0.9
YearPublicationVenuePosition
2026 NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs
abstract
Yingfeng Luo, Ziqiang Xu, Yuxuan Ouyang, MuRun Yang, DingYang Lin, Kaiyan Chang, Tong Zheng, Bei Li, Peinan Feng, Quan Du, Tong Xiao, JingBo Zhu. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Yingfeng Luo, Yuxuan Ouyang, Murun Yang, Dingyang Lin, Kaiyan Chang 0001, Peinan Feng, Quan Du, Tong Xiao 0001
 ACL (1)6
2025 Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models
abstract
Kaiyan Chang, Yonghao Shi, Chenglong Wang, Hang Zhou, Chi Hu, Xiaoqian Liu, Yingfeng Luo, Yuan Ge, Tong Xiao, JingBo Zhu. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025.
Kaiyan Chang 0001, Yonghao Shi, Chenglong Wang 0002, Chi Hu, Yingfeng Luo, Yuan Ge 0001, Tong Xiao 0001
 EMNLP1
2025 StoryBench: A Dataset for Diverse, Explainable, Multi-hop Narrative Text-to-Image Generation
Yuan Ge 0001, Kaiyang Ye, Saihan Chen, Aokai Hao, Xiangnan Ma, Kaiyan Chang 0001, Tong Xiao 0001
 NLPCC (2)6