Segev Shlomov
8 papers · 2018–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (27) 🌍 Conference Polyglot · Bronze
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The Questioner
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Renaissance Researcher
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Research topics
Machine Learning
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Learning Types
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Artificial Intelligence
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Natural Language Processing
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Core AI
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Deep Learning
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Application Areas
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Core Methods
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Optimization & Theory
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(1)
Reinforcement Learning
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Robotics
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Applications · Natural Language Processing
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Applications · Reinforcement Learning
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Applications · Robotics
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Keywords
large language model
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non-convex optimization
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experimental design
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natural language processing
(1)
text classification
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hierarchical planning
(1)
data augmentation
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text generation
(1)
evaluation methodology
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semantic representation
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deep learning
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stochastic dominance
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hypothesis testing
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statistical testing
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imitation learning
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model comparison
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semantic similarity
(1)
deep neural network
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language model
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benchmark evaluation
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Papers
From Benchmarks to Business Impact: Deploying IBM Generalist Agent in Enterprise Production
AAAI 2026
SNAP: Semantic Stories for Next Activity Prediction
AAAI 2025
Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition
AAAI 2024
Towards a Resilient Intelligent Automation System
IJCAI 2024
We’ve had this conversation before: A Novel Approach to Measuring Dialog Similarity
EMNLP 2021
Do Not Have Enough Data? Deep Learning to the Rescue!
AAAI 2020
Deep Dominance - How to Properly Compare Deep Neural Models
ACL 2019
The Hitchhiker’s Guide to Testing Statistical Significance in Natural Language Processing
ACL 2018