Recognizing Multimodal Entailment

no code implementations • ACL 2021 • Cesar Ilharco, Afsaneh Shirazi, Arjun Gopalan, Arsha Nagrani, Blaz Bratanic, Chris Bregler, Christina Funk, Felipe Ferreira, Gabriel Barcik, Gabriel Ilharco, Georg Osang, Jannis Bulian, Jared Frank, Lucas Smaira, Qin Cao, Ricardo Marino, Roma Patel, Thomas Leung, Vaiva Imbrasaite

How information is created, shared and consumed has changed rapidly in recent decades, in part thanks to new social platforms and technologies on the web.

Graph Learning Question Answering

Dr.ICL: Demonstration-Retrieved In-context Learning

no code implementations • 23 May 2023 • Man Luo, Xin Xu, Zhuyun Dai, Panupong Pasupat, Mehran Kazemi, Chitta Baral, Vaiva Imbrasaite, Vincent Y Zhao

In-context learning (ICL), teaching a large language model (LLM) to perform a task with few-shot demonstrations rather than adjusting the model parameters, has emerged as a strong paradigm for using LLMs.

In-Context Learning Language Modelling +2

TaskLAMA: Probing the Complex Task Understanding of Language Models

no code implementations • 29 Aug 2023 • Quan Yuan, Mehran Kazemi, Xin Xu, Isaac Noble, Vaiva Imbrasaite, Deepak Ramachandran

Our experiments reveal that LLMs are able to decompose complex tasks into individual steps effectively, with a relative improvement of 15% to 280% over the best baseline.