Papers by Kelvin Luu

2 papers
Time Waits for No One! Analysis and Challenges of Temporal Misalignment (2022.naacl-main)

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Challenge: a pretrained model is optionally adapted through domain-specific pretraining, followed by task-specific finetuning.
Approach: They establish a suite of eight tasks across different domains to quantify the effects of temporal misalignment in modern NLP systems.
Outcome: The proposed tasks are based on eight domains and periods of time spanning five years or more and show that they have stronger effects than previous studies.
Explaining Relationships Between Scientific Documents (2021.acl-long)

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Challenge: Existing approaches to explain relationships between scientific documents using natural language text can be useful for research efficiency.
Approach: They propose a task of explaining relationships between scientific documents using natural language text.
Outcome: The proposed models can be automated and humanely evaluated.

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