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Arya Talebzadeh

dblp:391/3448 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—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
Reinforcement learning · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Reinforcement learning › reinforcement learning from human feedback › learning from human feedback › natural language feedback
critique
0.912025
Improving Model Factuality with Fine-grained Critique-based Evaluator · ACL (1) 2025

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

fine-grained critique · 0.9
YearPublicationVenuePosition
2025 Improving Model Factuality with Fine-grained Critique-based Evaluator
abstract
Yiqing Xie, Wenxuan Zhou, Pradyot Prakash, Di Jin, Yuning Mao, Quintin Fettes, Arya Talebzadeh, Sinong Wang, Han Fang, Carolyn Rose, Daniel Fried, Hejia Zhang. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.
Yiqing Xie, Pradyot Prakash, Yuning Mao, Quintin Fettes, Arya Talebzadeh, Sinong Wang, Carolyn P. Rosé, Daniel Fried
ACL (1)7