Shay B Cohen
15 papers · 2024–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (44) 🌍 Conference Polyglot · Silver 🗃️ Keyword Collector (85) ⚡ Prolific Year · Prolific
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The Questioner
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Century Club · Bronze
Top co-authors
Research topics
Artificial Intelligence
(12)
Core AI
(11)
Deep Learning
(9)
Machine Learning
(7)
Natural Language Processing
(7)
Learning Types · Deep Learning
(5)
Applications
(4)
Learning Paradigms
(4)
Architectures
(3)
Core Methods
(3)
Learning Types · Machine Learning
(3)
Generation
(2)
Resources & Methods
(2)
Computer Science
(1)
Interdisciplinary
(1)
Keywords
large language model
(7)
mathematical reasoning
(2)
benchmark evaluation
(2)
transfer learning
(2)
question answering
(2)
zero-shot learning
(2)
conversational ai
(1)
question decomposition
(1)
robustness
(1)
machine translation
(1)
attention mechanism
(1)
cross-lingual transfer
(1)
multi-task learning
(1)
parameter-efficient transfer learning
(1)
neural network interpretability
(1)
dependency parsing
(1)
symbolic reasoning
(1)
synthetic data generation
(1)
instruction tuning
(1)
representation learning
(1)
Papers
Thinking in Schemas: Robust Syllogistic Reasoning in LLMs
ACL 2026
CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical Reasoning
EMNLP 2025
DEPfold: RNA Secondary Structure Prediction as Dependency Parsing.
ICLR 2025
Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models
ACL 2025
Iterative Multilingual Spectral Attribute Erasure
EMNLP 2025
One More Question is Enough, Expert Question Decomposition (EQD) Model for Domain Quantitative Reasoning
EMNLP 2025
PersonaLens: A Benchmark for Personalization Evaluation in Conversational AI Assistants
ACL 2025
PoisonBench: Assessing Language Model Vulnerability to Poisoned Preference Data
ICML 2025
Theorem Prover as a Judge for Synthetic Data Generation
ACL 2025
Transferrable Surrogates in Expressive Neural Architecture Search Spaces
AutoML 2025
What can Large Language Models Capture about Code Functional Equivalence?
NAACL 2025
Evaluating Automatic Metrics with Incremental Machine Translation Systems
EMNLP 2024
Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactions
EMNLP 2024
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models
EMNLP 2024
Modeling News Interactions and Influence for Financial Market Prediction
EMNLP 2024