Ralph M. Weischedel — accepted AI-conference papers

2023

ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos

Te-Lin Wu, Zi-Yi Dou, Qingyuan Hu, Yu Hou, Nischal Reddy Chandra, Marjorie Freedman +2

EMNLP 2023long main

Multimodal counterfactual reasoning is a vital yet challenging ability for AI systems. It involves predicting the outcomes of hypothetical circumstances based on vision and language inputs, which enables AI models to learn from failures and explore hypothetical scenarios. Despite its importance, the…

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2023

Remember what you did so you know what to do next

Manuel Rafael Ciosici, Alex Hedges, Yash Kankanampati, Justin Andrew Martin, Marjorie Freedman, Ralph M. Weischedel

EMNLP 2023short findings

We explore using the 6B parameter GPT-J language model to create a plan for a simulated robot to achieve 30 classes of goals in ScienceWorld, a text game simulator for elementary science experiments and for which previously published empirical work has shown large language models (LLM)s to be a poor…

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