no code implementations • EMNLP (newsum) 2021 • Nicole Beckage, Shachi H Kumar, Saurav Sahay, Ramesh Manuvinakurike
By compressing the previous contexts by ~70%, we achieve better ROUGE scores over our baseline models.
no code implementations • ACL 2022 • Shachi H Kumar, Hsuan Su, Ramesh Manuvinakurike, Maximilian C. Pinaroc, Sai Prasad, Saurav Sahay, Lama Nachman
Intelligent conversational assistants have become an integral part of our lives for performing simple tasks.
no code implementations • 17 Oct 2023 • Hsuan Su, Cheng-Chu Cheng, Hua Farn, Shachi H Kumar, Saurav Sahay, Shang-Tse Chen, Hung-Yi Lee
Recently, researchers have made considerable improvements in dialogue systems with the progress of large language models (LLMs) such as ChatGPT and GPT-4.
no code implementations • 12 Feb 2023 • Hsuan Su, Shachi H Kumar, Sahisnu Mazumder, Wenda Chen, Ramesh Manuvinakurike, Eda Okur, Saurav Sahay, Lama Nachman, Shang-Tse Chen, Hung-Yi Lee
With the power of large pretrained language models, various research works have integrated knowledge into dialogue systems.
no code implementations • 4 Dec 2021 • Shachi H Kumar, Hsuan Su, Ramesh Manuvinakurike, Saurav Sahay, Lama Nachman
We build models that can suggest relevant cues in the dialog response context which is used to control response generation and can speed up communication.