Papers by Charles Sutton
Deep Dungeons and Dragons: Learning Character-Action Interactions from Role-Playing Game Transcripts (N18-2)
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| Challenge: | a novel approach to understanding narratives involves modelling the interaction between characters and actions . we propose role-playing games as a testbed for inferring interactions between characters in narratives . |
| Approach: | They propose role-playing games as a testbed for learning latent ties between characters and actions . they propose to combine character and action descriptions from online discussion forums . |
| Outcome: | The proposed model can capture interactions between characters and actions in narratives . it can predict actions better when character attributes are taken into account . |
Natural Language to Code Generation in Interactive Data Science Notebooks (2023.acl-long)
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Pengcheng Yin, Wen-Ding Li, Kefan Xiao, Abhishek Rao, Yeming Wen, Kensen Shi, Joshua Howland, Paige Bailey, Michele Catasta, Henryk Michalewski, Oleksandr Polozov, Charles Sutton
| Challenge: | Data scientists use computational notebooks to perform data wrangling and analytic tasks. |
| Approach: | They build a benchmark program that synthesizes programs given NL intents from users by using a Python code language model. |
| Outcome: | The proposed model outperforms public code LMs in a dataset of 1078 code generation problems using the pandas data analysis framework in data science notebooks. |