Avinatan Hassidim
26 papers · 2015–2026 · 13 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) 🐣 Hot Topic Early Bird
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Conference Polyglot
(12)
🏃
Academic Marathon
(10)
🐝
Cross-Pollinator
(9)
🤝
Dynamic Duo
(10)
🧬
Topic Evolution
🏆
Keyword Champion
📈
Trend Setter
🗃️
Keyword Collector
(111)
⚡
Prolific Year
(5)
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Unstoppable
(9)
💎
Century Club
(24)
Conferences
NIPS (5)
IJCAI (4)
ACL (3)
NAACL (3)
AAAI (2)
EMNLP (2)
AACL (1)
COLT (1)
ICCV (1)
ICML (1)
IJCNLP (1)
INTERSPEECH (1)
MICCAI (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(3)
clinical note
(3)
cardinality constraint
(3)
submodular optimization
(3)
privacy guarantee
(2)
named entity recognition
(2)
factual consistency
(2)
few-shot learning
(2)
pre-trained language model
(2)
differential privacy
(2)
question answering
(2)
entity extraction
(2)
in-context learning
(2)
natural language inference
(2)
question generation
(2)
approximation algorithm
(2)
assignment problem
(1)
image classification
(1)
statistical learning theory
(1)
transfer learning
(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
DoubleDipper: Recycling Contexts for Efficient and Attributed In-Context Learning
AACL 2025
Multi-turn Reinforcement Learning with Preference Human Feedback
NIPS 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
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
Targeted Negative Campaigning: Complexity and Approximations
AAAI 2021
Learning and Evaluating a Differentially Private Pre-trained Language Model
NAACL 2021
Adversarial Robustness of Streaming Algorithms through Importance Sampling
NIPS 2021
An Optimal Elimination Algorithm for Learning a Best Arm
NIPS 2020
Learning to Screen
NIPS 2019
Personalizing ASR for Dysarthric and Accented Speech with Limited Data
INTERSPEECH 2019
Audio De-identification - a New Entity Recognition Task
NAACL 2019
Optimization for Approximate Submodularity
NIPS 2018
Double Auctions in Markets for Multiple Kinds of Goods
IJCAI 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