Moninder Singh
10 papers · 2019–2026 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (23)
π§¬
Topic Evolution
π₯
Mega-Team Β· Squad
ποΈ
Keyword Collector
(54)
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Century Club Β· Bronze
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Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Artificial Intelligence
(8)
Machine Learning
(8)
Core AI
(8)
Natural Language Processing
(4)
Learning Types
(4)
Application Areas
(2)
Applications Β· Natural Language Processing
(2)
Core Methods
(2)
Resources & Methods
(2)
Computer Science
(1)
Deep Learning
(1)
Knowledge & Reasoning
(1)
Reinforcement Learning
(1)
Applications Β· Computer Science
(1)
Generation
(1)
Keywords
large language model
(3)
model interpretability
(2)
explainable ai
(2)
text classification
(1)
reward function
(1)
model safety
(1)
interpretable machine learning
(1)
inverse reinforcement learning
(1)
evaluation metric
(1)
constraint satisfaction
(1)
decision tree
(1)
data summarization
(1)
knowledge graph
(1)
regret bound
(1)
contextual bandit
(1)
feature attribution
(1)
value alignment
(1)
model ranking
(1)
model evaluation
(1)
anomaly detection
(1)
Papers
AI Steerability 360: A Toolkit for Steering Large Language Models
ACL 2026
Conceptual Diagnostics for Knowledge Graphs and Large Language Models
ACL 2025
Ranking Large Language Models without Ground Truth
ACL 2024
SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models
AAAI 2024
AI Explainability 360: Impact and Design
AAAI 2022
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
NeurIPS 2022
Your fairness may vary: Pretrained language model fairness in toxic text classification
ACL 2022
Anomaly Attribution with Likelihood Compensation
AAAI 2021
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models
JMLR 2020
Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration
IJCAI 2019