Alon Jacovi
16 papers · 2018–2025 · 6 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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🗺️ Taxonomy Completionist (35) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Topic Evolution
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Keyword Pioneer
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Mega-Team · Squad
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Keyword Collector
(86)
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Century Club · Bronze
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The Questioner
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Research topics
Artificial Intelligence
(10)
Machine Learning
(10)
Natural Language Processing
(9)
Core AI
(9)
Deep Learning
(6)
Core Methods
(6)
Learning Types · Machine Learning
(6)
Applications
(5)
Application Areas
(3)
Learning Types · Deep Learning
(3)
Techniques
(3)
Resources & Methods
(2)
Understanding
(2)
Security & Privacy
(1)
Architectures
(1)
Keywords
question answering
(3)
text classification
(2)
in-context learning
(2)
feature attribution
(2)
information retrieval
(2)
few-shot learning
(2)
data contamination
(2)
large language model
(2)
language model
(2)
model interpretability
(2)
model evaluation
(1)
model robustness
(1)
information extraction
(1)
relation extraction
(1)
natural language processing
(1)
convolutional neural network
(1)
interpretability evaluation
(1)
gradient descent
(1)
black-box function
(1)
data augmentation
(1)
Papers
ConSim: Measuring Concept-Based Explanations’ Effectiveness with Automated Simulatability
ACL 2025
DoubleDipper: Recycling Contexts for Efficient and Attributed In-Context Learning
IJCNLP 2025
A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains
ACL 2024
Data Contamination Report from the 2024 CONDA Shared Task
ACL 2024
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP
EMNLP 2024
TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools
NeurIPS 2024
A Comprehensive Evaluation of Tool-Assisted Generation Strategies
EMNLP 2023
Neighboring Words Affect Human Interpretation of Saliency Explanations
ACL 2023
Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks
EMNLP 2023
Contrastive Explanations for Model Interpretability
EMNLP 2021
Scalable Evaluation and Improvement of Document Set Expansion via Neural Positive-Unlabeled Learning
EACL 2021
Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data
EMNLP 2020
Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness?
ACL 2020
Learning and Understanding Different Categories of Sexism Using Convolutional Neural Network’s Filters
ACL 2019
Neural network gradient-based learning of black-box function interfaces
ICLR 2019
Understanding Convolutional Neural Networks for Text Classification
EMNLP 2018