Ece Kamar
23 papers · 2012–2026 · 7 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 (42) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
π€
Dynamic Duo
(12)
π
Renaissance Researcher
(7)
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Conference Pioneer
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(93)
Top co-authors
Research topics
Artificial Intelligence
(13)
Core AI
(13)
Machine Learning
(12)
Learning Types Β· Machine Learning
(6)
Application Areas
(5)
Natural Language Processing
(4)
Optimization & Theory
(4)
Computer Vision
(3)
Deep Learning
(3)
Learning Types Β· Deep Learning
(3)
Applications
(2)
Generation
(2)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Keywords
language model
(4)
human-ai collaboration
(2)
human-ai interaction
(2)
attention mechanism
(2)
text classification
(2)
text generation
(1)
domain adaptation
(1)
adversarial learning
(1)
model robustness
(1)
transfer learning
(1)
factual accuracy
(1)
data augmentation
(1)
visual question answering
(1)
image captioning
(1)
supervised learning
(1)
toxicity detection
(1)
adversarial training
(1)
human-robot interaction
(1)
model interpretability
(1)
decision making
(1)
Papers
Tandem Training for Language Models
EACL 2026
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
ICLR 2024
Teaching Language Models to Hallucinate Less with Synthetic Tasks
ICLR 2024
Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions
ACL 2023
Investigations of Performance and Bias in Human-AI Teamwork in Hiring
AAAI 2022
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection
ACL 2022
Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions
AAAI 2021
Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork
AAAI 2021
Understanding Failures of Deep Networks via Robust Feature Extraction
CVPR 2021
A Multi-Objective Approach to Mitigate Negative Side Effects
IJCAI 2020
Learning to Complement Humans
IJCAI 2020
SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions
CVPR 2020
Supervised Discovery of Unknown Unknowns through Test Sample Mining (Student Abstract)
AAAI 2020
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution
AAAI 2019
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff
AAAI 2019
Evaluating and Complementing Vision-to-Language Technology for People who are Blind with Conversational Crowdsourcing
IJCAI 2018
Directions in Hybrid Intelligence: Complementing AI Systems with Human Intelligence
IJCAI 2016
Interactive Teaching Strategies for Agent Training
IJCAI 2016
Intervention Strategies for Increasing Engagement in Crowdsourcing: Platform, Predictions, and Experiments
IJCAI 2016
Metareasoning for Planning Under Uncertainty
IJCAI 2015
Lifelong Learning for Acquiring the Wisdom of the Crowd
IJCAI 2013
Look versus Leap: Computing Value of Information with High-Dimensional Streaming Evidence
IJCAI 2013
Towards Situated Collaboration
NAACL 2012