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

Fu Cheng

dblp:199/3347 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 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
1 paper
Question answering and dialogue systems · 87% Language models and text generation · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Question answering and dialogue systems › machine reading comprehension
long-context question answering		 0.812024
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA · EMNLP 2024
Natural language and speech › Question answering and dialogue systems › knowledge-intensive question answering
multi-document question answering		 0.812024
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA · EMNLP 2024
Natural language and speech › Language models and text generation › language modeling › long-context language modeling › context utilization › long-context modeling
long-context language model		 0.212024
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA · EMNLP 2024

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

benchmark construction · 0.8
YearPublicationVenuePosition
2024 Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
abstract
Minzheng Wang, Longze Chen, Fu Cheng, Shengyi Liao, Xinghua Zhang, Bingli Wu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024.
Minzheng Wang 0001, Longze Chen, Fu Cheng, Shengyi Liao, Xinghua Zhang 0001, Bingli Wu, Haiyang Yu 0003, Nan Xu 0004, Lei Zhang 0201, Run Luo, Yunshui Li, Min Yang 0007, Fei Huang 0002, Yongbin Li 0001
 EMNLP3