1 code implementation • 6 Nov 2023 • Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren
Results on five difficult question-answering datasets StrategyQA, QuaRel, OpenBookQA, NumerSense and QASC show that not only does MaRio improve task accuracy, but it also improves the self-rationalization quality of small LMs across the aforementioned axes better than a supervised fine-tuning (SFT) baseline.
1 code implementation • 24 May 2023 • Ximing Lu, Faeze Brahman, Peter West, Jaehun Jang, Khyathi Chandu, Abhilasha Ravichander, Lianhui Qin, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Yuchen Lin, Skyler Hallinan, Xiang Ren, Sean Welleck, Yejin Choi
While extreme-scale language models have demonstrated exceptional performance on a variety of language tasks, the degree of control over these language models through pure prompting can often be limited.
1 code implementation • 11 May 2023 • Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren
Existing metrics like task performance of the LM generating the rationales, or similarity between generated and gold rationales are not good indicators of their human utility.
no code implementations • 9 Oct 2021 • Sahana Ramnath, Preksha Nema, Deep Sahni, Mitesh M. Khapra
As neural-network-based QA models become deeper and more complex, there is a demand for robust frameworks which can access a model's rationale for its prediction.
no code implementations • EMNLP 2021 • Sahana Ramnath, Melvin Johnson, Abhirut Gupta, Aravindan Raghuveer
For such cases, we propose training the model with additional hints (as target tags on the decoder) that provide information about the operation required on the source (translation or both translation and transliteration).
1 code implementation • EMNLP 2020 • Sahana Ramnath, Preksha Nema, Deep Sahni, Mitesh M. Khapra
BERT and its variants have achieved state-of-the-art performance in various NLP tasks.
no code implementations • 3 Nov 2019 • Sahana Ramnath, Amrita Saha, Soumen Chakrabarti, Mitesh M. Khapra
With the prolification of multimodal interaction in various domains, recently there has been much interest in text based image retrieval in the computer vision community.