Mert Yuksekgonul
13 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Achievements
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Research topics
Artificial Intelligence
(11)
Core AI
(10)
Machine Learning
(9)
Deep Learning
(4)
Natural Language Processing
(4)
Application Areas
(3)
Learning Types
(3)
Optimization & Theory
(3)
Applications
(2)
Architectures
(2)
Core Methods
(2)
Learning Paradigms
(2)
Resources & Methods
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Keywords
domain generalization
(3)
language model
(2)
constraint satisfaction
(2)
spurious correlation
(2)
model calibration
(1)
attention mechanism
(1)
transfer learning
(1)
multimodal learning
(1)
uncertainty quantification
(1)
bias detection
(1)
confidence calibration
(1)
neural architecture search
(1)
visual reasoning
(1)
model editing
(1)
short-term memory
(1)
information retrieval
(1)
model debugging
(1)
selective prediction
(1)
learning rate
(1)
factual accuracy
(1)
Papers
Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory
EACL 2026
Dynamical phases of short-term memory mechanisms in RNNs
ICML 2025
Inefficiencies of Meta Agents for Agent Design
EMNLP 2025
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
ICLR 2024
How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis
ICML 2024
KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
ICLR 2024
Beyond Confidence: Reliable Models Should Also Consider Atypicality
NeurIPS 2023
Discover and Cure: Concept-aware Mitigation of Spurious Correlation
ICML 2023
Post-hoc Concept Bottleneck Models
ICLR 2023
When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It?
ICLR 2023
Meaningfully debugging model mistakes using conceptual counterfactual explanations
ICML 2022
SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained debugging and analysis
NeurIPS 2022
Pretraining Boosts Out-of-Domain Robustness for Pose Estimation
WACV 2021