Avinatan Hassidim
25 papers · 2015–2026 · 12 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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πΊοΈ Taxonomy Completionist (52) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
π§
Keyword Pioneer
π§¬
Topic Evolution
π€
Dynamic Duo
(11)
π₯
Unstoppable Β· Silver
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Century Club Β· Bronze
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Renaissance Researcher
(9)
ποΈ
Keyword Collector
(115)
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Prolific Year Β· Productive
Venues
Top co-authors
Research topics
Machine Learning
(11)
Natural Language Processing
(9)
Artificial Intelligence
(8)
Mathematics & Optimization
(8)
Optimization
(8)
Deep Learning
(6)
Application Areas
(6)
Core AI
(6)
Optimization & Theory
(6)
Generation
(5)
Applications
(3)
Learning Types Β· Machine Learning
(3)
Learning Types Β· Deep Learning
(3)
Resources & Methods
(3)
Reinforcement Learning
(2)
Keywords
cardinality constraint
(3)
reinforcement learning
(3)
clinical note
(3)
submodular optimization
(3)
named entity recognition
(2)
natural language inference
(2)
entity extraction
(2)
approximation algorithm
(2)
differential privacy
(2)
privacy guarantee
(2)
question generation
(2)
pre-trained language model
(2)
factual consistency
(2)
assignment problem
(1)
image classification
(1)
statistical learning theory
(1)
transfer learning
(1)
learning theory
(1)
statistical learning
(1)
policy optimization
(1)
Papers
Location Not Found: Exposing Implicit Local and Global Biases in Multilingual LLMs
ACL 2026
CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding
MICCAI 2025
DoubleDipper: Recycling Contexts for Efficient and Attributed In-Context Learning
IJCNLP 2025
Reducing Leximin Fairness to Utilitarian Optimization
AAAI 2025
Multi-turn Reinforcement Learning with Preference Human Feedback
NeurIPS 2024
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback
ACL 2023
Building a Clinically-Focused Problem List From Medical Notes
EMNLP 2022
TRUE: Re-evaluating Factual Consistency Evaluation
ACL 2022
TRUE: Re-evaluating Factual Consistency Evaluation
NAACL 2022
Adversarial Robustness of Streaming Algorithms through Importance Sampling
NeurIPS 2021
Explaining in Style: Training a GAN To Explain a Classifier in StyleSpace
ICCV 2021
Learning and Evaluating a Differentially Private Pre-trained Language Model
EMNLP 2021
Learning and Evaluating a Differentially Private Pre-trained Language Model
NAACL 2021
Targeted Negative Campaigning: Complexity and Approximations
AAAI 2021
An Optimal Elimination Algorithm for Learning a Best Arm
NeurIPS 2020
Audio De-identification - a New Entity Recognition Task
NAACL 2019
Learning to Screen
NeurIPS 2019
Personalizing ASR for Dysarthric and Accented Speech with Limited Data
Interspeech 2019
Double Auctions in Markets for Multiple Kinds of Goods
IJCAI 2018
Optimization for Approximate Submodularity
NeurIPS 2018
Planning and Learning with Stochastic Action Sets
IJCAI 2018
Fair Allocation based on Diminishing Differences
IJCAI 2017
Robust Guarantees of Stochastic Greedy Algorithms
ICML 2017
Submodular Optimization under Noise
COLT 2017
Implementing the Wisdom of Waze
IJCAI 2015