Jackie Cheung
16 papers · 2018–2024 · 3 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (41) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Research topics
Machine Learning
(11)
Artificial Intelligence
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Natural Language Processing
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Core AI
(9)
Core Methods
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Deep Learning
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Learning Types · Machine Learning
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Generation
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Learning Types · Deep Learning
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Optimization & Theory
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Resources & Methods
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Understanding
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Interdisciplinary
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Keywords
commonsense knowledge
(2)
coreference resolution
(2)
representation learning
(2)
natural language processing
(2)
masked language model
(2)
large language model
(2)
text classification
(1)
question answering
(1)
benchmark evaluation
(1)
natural language inference
(1)
knowledge editing
(1)
model evaluation
(1)
named entity recognition
(1)
transfer learning
(1)
computational linguistics
(1)
knowledge mining
(1)
semantic analysis
(1)
bert model
(1)
explanation generation
(1)
opinion mining
(1)
Papers
Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective
ACL 2024
COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation
ACL 2024
ECBD: Evidence-Centered Benchmark Design for NLP
ACL 2024
From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards
ACL 2024
GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews
ACL 2024
Separately Parameterizing Singleton Detection Improves End-to-end Neural Coreference Resolution
NAACL 2024
Balaur: Language Model Pretraining with Lexical Semantic Relations
EMNLP 2023
Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness
EMNLP 2023
Investigating the Effect of Pre-finetuning BERT Models on NLI Involving Presuppositions
EMNLP 2023
Qualitative Code Suggestion: A Human-Centric Approach to Qualitative Coding
EMNLP 2023
Characterizing Idioms: Conventionality and Contingency
ACL 2022
Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge
NAACL 2022
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization
ACL 2022
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment
ACL 2022
Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation
ACL 2022
Commonsense mining as knowledge base completion? A study on the impact of novelty
NAACL 2018