Mert Yuksekgonul
13 papers · 2021–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (6) π Conference Polyglot (5) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (23)
π
Conference Polyglot
(5)
π
Academic Marathon
(5)
π
Triple Crown
π
Century Club
(12)
β
The Questioner
(2)
π₯
Unstoppable
(5)
Conferences
ICLR (4)
ICML (4)
NIPS (2)
EACL (1)
EMNLP (1)
WACV (1)
Top co-authors
Keywords
domain generalization
(2)
spurious correlation
(2)
transfer learning
(1)
uncertainty quantification
(1)
model calibration
(1)
bias detection
(1)
neural architecture search
(1)
evolutionary algorithm
(1)
model debugging
(1)
selective prediction
(1)
language model
(1)
confidence calibration
(1)
model generalization
(1)
concept bottleneck
(1)
pose estimation
(1)
counterfactual explanation
(1)
causal intervention
(1)
ood detection
(1)
persistent memory
(1)
concept-based explanation
(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
KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
ICLR 2024
How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis
ICML 2024
Beyond Confidence: Reliable Models Should Also Consider Atypicality
NIPS 2023
Discover and Cure: Concept-aware Mitigation of Spurious Correlation
ICML 2023
When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It?
ICLR 2023
Post-hoc Concept Bottleneck Models
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
NIPS 2022
Pretraining Boosts Out-of-Domain Robustness for Pose Estimation
WACV 2021