Gal Yona
12 papers · 2018–2025 · 8 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
Jump to papers ↓+5 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (33)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(63)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
β
The Questioner
(3)
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(7)
Core AI
(7)
Deep Learning
(6)
Learning Types Β· Machine Learning
(6)
Models
(5)
Application Areas
(4)
Optimization & Theory
(4)
Natural Language Processing
(3)
Resources & Methods
(3)
Computer Vision
(1)
Applications
(1)
Generation
(1)
Learning Types Β· Deep Learning
(1)
Processing
(1)
Keywords
large language model
(4)
pac learning
(3)
language model
(2)
uncertainty quantification
(2)
generalization bound
(2)
knowledge editing
(1)
video generation
(1)
benchmark evaluation
(1)
factual knowledge
(1)
sample complexity
(1)
confidence calibration
(1)
image editing
(1)
out-of-distribution generalization
(1)
model alignment
(1)
agnostic learning
(1)
majority vote
(1)
image manifold
(1)
generative model
(1)
question answering
(1)
algorithmic fairness
(1)
Papers
Confidence Improves Self-Consistency in LLMs
ACL 2025
Keep Guessing? When Considering Inference Scaling, Mind the Baselines
NAACL 2025
MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs
EMNLP 2025
Pathways on the Image Manifold: Image Editing via Video Generation
CVPR 2025
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?
EMNLP 2024
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
EMNLP 2024
Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers
ACL 2024
Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds
ICLR 2023
Active learning with label comparisons
UAI 2022
Beyond Bernoulli: Generating Random Outcomes that cannot be Distinguished from Nature
ALT 2022
Multi-group Agnostic PAC Learnability
ICML 2021
Probably Approximately Metric-Fair Learning
ICML 2018