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Chaoqun Hao

dblp:435/0691 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—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
Language models and text generation · 67% Knowledge representation and reasoning · 33%

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

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning
causal reasoning
1.012026
METER: Evaluating Multi-Level Contextual Causal Reasoning in Large Language Models · ACL (1) 2026
Natural language and speech › Language models and text generation › evaluation of language models › reasoning evaluation
causal reasoning evaluation
1.012026
METER: Evaluating Multi-Level Contextual Causal Reasoning in Large Language Models · ACL (1) 2026
Natural language and speech › Language models and text generation
large language model evaluation
1.012026
METER: Evaluating Multi-Level Contextual Causal Reasoning in Large Language Models · ACL (1) 2026

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

benchmark construction · 1.0
YearPublicationVenuePosition
2026 METER: Evaluating Multi-Level Contextual Causal Reasoning in Large Language Models
abstract
Pengfeng Li, Chen Huang, Chaoqun Hao, Hongyao Chen, Xiao-Yong Wei, Wenqiang Lei, See-Kiong Ng. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Pengfeng Li, Chen Huang 0006, Chaoqun Hao, Hongyao Chen, Xiaoyong Wei, Wenqiang Lei, See-Kiong Ng
ACL (1)3