Search Results for author: Radhika Gaonkar

Found 3 papers, 2 papers with code

Knowledge Infused Decoding

1 code implementation ICLR 2022 Ruibo Liu, Guoqing Zheng, Shashank Gupta, Radhika Gaonkar, Chongyang Gao, Soroush Vosoughi, Milad Shokouhi, Ahmed Hassan Awadallah

Hence, they tend to suffer from counterfactual or hallucinatory generation when used in knowledge-intensive natural language generation (NLG) tasks.

Question Answering Text Generation

Exploring Low-Cost Transformer Model Compression for Large-Scale Commercial Reply Suggestions

no code implementations27 Nov 2021 Vaishnavi Shrivastava, Radhika Gaonkar, Shashank Gupta, Abhishek Jha

Fine-tuning pre-trained language models improves the quality of commercial reply suggestion systems, but at the cost of unsustainable training times.

Model Compression

Modeling Label Semantics for Predicting Emotional Reactions

1 code implementation ACL 2020 Radhika Gaonkar, Heeyoung Kwon, Mohaddeseh Bastan, Niranjan Balasubramanian, Nathanael Chambers

Predicting how events induce emotions in the characters of a story is typically seen as a standard multi-label classification task, which usually treats labels as anonymous classes to predict.

Emotion Classification Multi-Label Classification

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