Joe Stacey
9 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (28) 🐣 Hot Topic Early Bird
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The Questioner
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Research topics
Machine Learning
(7)
Natural Language Processing
(7)
Learning Types · Machine Learning
(7)
Artificial Intelligence
(6)
Applications
(6)
Core AI
(6)
Core Methods
(3)
Deep Learning
(2)
Application Areas
(2)
Generation
(1)
Learning Types · Deep Learning
(1)
Resources & Methods
(1)
Techniques
(1)
Understanding
(1)
Keywords
natural language inference
(5)
large language model
(4)
spurious correlation
(2)
model robustness
(2)
interpretable model
(2)
out-of-distribution generalization
(2)
bias reduction
(2)
attention mechanism
(1)
mathematical reasoning
(1)
ensemble learning
(1)
task-oriented dialogue
(1)
intent classification
(1)
adversarial training
(1)
language understanding
(1)
interpretable machine learning
(1)
out-of-distribution detection
(1)
data selection
(1)
bias mitigation
(1)
synthetic data generation
(1)
knowledge distillation
(1)
Papers
AgentCoMa: A Compositional Benchmark Mixing Commonsense and Mathematical Reasoning in Real-World Scenarios
ACL 2026
Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection
EACL 2026
Atomic Inference for NLI with Generated Facts as Atoms
EMNLP 2024
Distilling Robustness into Natural Language Inference Models with Domain-Targeted Augmentation
ACL 2024
LUCID: LLM-Generated Utterances for Complex and Interesting Dialogues
NAACL 2024
When and Why Does Bias Mitigation Work?
EMNLP 2023
Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models
EMNLP 2022
Supervising Model Attention with Human Explanations for Robust Natural Language Inference
AAAI 2022
Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training
EMNLP 2020