Nischal Reddy Chandra — 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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2022

EnDex: Evaluation of Dialogue Engagingness at Scale

Guangxuan Xu, Ruibo Liu, Fabrice Harel-Canada, Nischal Reddy Chandra, Nanyun Peng

EMNLP 2022finding

We propose EnDex, the first human-reaction based model to evaluate dialogue engagingness. EnDex is trained on 80k Reddit-based Engagement Dataset (RED) curated using a novel distant-supervision framework. Engagingness is a key measure that captures high-level quality of AI dialogue systems and close…

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