Papers by Raymond Liu
Using Commonsense Knowledge to Answer Why-Questions (2022.emnlp-main)
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Yash Kumar Lal, Niket Tandon, Tanvi Aggarwal, Horace Liu, Nathanael Chambers, Raymond Mooney, Niranjan Balasubramanian
| Challenge: | Existing approaches to integrating commonsense knowledge into large language models are implicit and explicit. |
| Approach: | They analyze the effects of model size and methods of injecting knowledge into TellMeWhy datasets to determine what aspects of commonsense knowledge are available in large language models. |
| Outcome: | The largest models yield substantial improvements over base models, but the amount of improvement decreases with larger model size. |
Analyzing values about gendered language reform in LLMs’ revisions (2025.emnlp-main)
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| Challenge: | In the past years, LLMs have been used in everyday tasks, especially the formulation and revision of text. |
| Approach: | They examine LLMs' revision of gendered role nouns and their justifications using a prompt set-up to examine their alignment with feminist and trans-inclusive language reforms for English. |
| Outcome: | The proposed revision choices are based on the literature and empirical evidence. |