274 citations · 2.9k across the 39 of their papers we have counts for
5 papers · 1 filter
Improving Instruct Models for Free: A Study on Partial Adaptation
Ozan İrsoy, Pengxiang Cheng, Jennifer L. Chen +3
Instruct models, obtained from various instruction tuning or post-training steps, are commonly deemed superior and more usable than their base counterpart. While the model gains in…
Non-contrastive sentence representations via self-supervision
Marco Farina, Duccio Pappadopulo
Sample contrastive methods, typically referred to simply as contrastive are the foundation of most unsupervised methods to learn text and sentence embeddings. On the other hand, a…
Distillation of encoder-decoder transformers for sequence labelling
Marco Farina, Duccio Pappadopulo, Anant Gupta +3
Driven by encouraging results on a wide range of tasks, the field of NLP is experiencing an accelerated race to develop bigger language models. This race for bigger models has also…
Disentangling Online Chats with DAG-Structured LSTMs
Duccio Pappadopulo, Lisa Bauer, Marco Farina +2
Many modern messaging systems allow fast and synchronous textual communication among many users. The resulting sequence of messages hides a more complicated structure in which inde…
Dialogue Act Classification in Group Chats with DAG-LSTMs
Ozan İrsoy, Rakesh Gosangi, Haimin Zhang +6
Dialogue act (DA) classification has been studied for the past two decades and has several key applications such as workflow automation and conversation analytics. Researchers have…