no code implementations • 8 Apr 2024 • Giwon Hong, Aryo Pradipta Gema, Rohit Saxena, Xiaotang Du, Ping Nie, Yu Zhao, Laura Perez-Beltrachini, Max Ryabinin, Xuanli He, Clémentine Fourrier, Pasquale Minervini
Large Language Models (LLMs) have transformed the Natural Language Processing (NLP) landscape with their remarkable ability to understand and generate human-like text.
no code implementations • 4 Apr 2024 • Rohit Saxena, Frank Keller
Abstractive summarization for long-form narrative texts such as movie scripts is challenging due to the computational and memory constraints of current language models.
no code implementations • 28 Nov 2019 • Ramit Pahwa, Manoj Ghuhan Arivazhagan, Ankur Garg, Siddarth Krishnamoorthy, Rohit Saxena, Sunav Choudhary
Designing and training a CNN architecture that does well on all three metrics is highly non-trivial and can be very time-consuming if done by hand.
no code implementations • WS 2018 • Rohit Saxena, Savita Bhat, Niranjan Pedanekar
It is an emotion detection task on dialogues in the EmotionLines dataset.