Joe Stacey
9 papers · 2020–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (4) π Academic Marathon (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (29)
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Keyword Pioneer
π£
Hot Topic Early Bird
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Keyword Champion
(2)
β
The Questioner
Conferences
EMNLP (4)
ACL (2)
AAAI (1)
EACL (1)
NAACL (1)
Top co-authors
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
Supervising Model Attention with Human Explanations for Robust Natural Language Inference
AAAI 2022
Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models
EMNLP 2022
Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training
EMNLP 2020