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Amir Dudai

dblp:430/9225 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · unresolved

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 · 44% Reinforcement learning · 44% Multi-agent systems · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Reinforcement learning
agent evaluation
1.012026
DREAM: Deep Research Evaluation with Agentic Metrics · ACL (1) 2026
Natural language and speech › Language models and text generation
evaluation of language models
1.012026
DREAM: Deep Research Evaluation with Agentic Metrics · ACL (1) 2026

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

deep research evaluation · 1.0agentic metrics · 1.0
YearPublicationVenuePosition
2026 DREAM: Deep Research Evaluation with Agentic Metrics
abstract
Elad Ben Avraham, ChangHao Li, Ron Dorfman, Roy Ganz, Oren Nuriel, Amir Dudai, Aviad Aberdam, Noah Flynn, Elman Mansimov, Aditya Kalyanpur, Ron Litman. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Elad Ben-Avraham, Ron Dorfman, Roy Ganz, Oren Nuriel, Amir Dudai, Aviad Aberdam, Noah Flynn, Elman Mansimov, Aditya Kalyanpur, Ron Litman
ACL (1)6