no code implementations • dialdoc (ACL) 2022 • Elnaz Nouri, Carlos Toxtli
Comments are widely used by users in collaborative documents every day.
no code implementations • 21 Feb 2024 • Mingyu Guan, Jack W. Stokes, Qinlong Luo, Fuchen Liu, Purvanshi Mehta, Elnaz Nouri, Taesoo Kim
In this paper, we present HetTree, a novel heterogeneous tree graph neural network that models both the graph structure and heterogeneous aspects in a scalable and effective manner.
no code implementations • 18 Feb 2024 • Shraddha Barke, Christian Poelitz, Carina Suzana Negreanu, Benjamin Zorn, José Cambronero, Andrew D. Gordon, Vu Le, Elnaz Nouri, Nadia Polikarpova, Advait Sarkar, Brian Slininger, Neil Toronto, Jack Williams
Large language models (LLMs) are rapidly replacing help forums like StackOverflow, and are especially helpful for non-professional programmers and end users.
no code implementations • 26 Oct 2023 • Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Elnaz Nouri, Mohammad Raza, Gust Verbruggen
Writing such rules is often challenging for users as it requires them to understand and implement the underlying logic.
no code implementations • 23 Oct 2023 • Justin Payan, Swaroop Mishra, Mukul Singh, Carina Negreanu, Christian Poelitz, Chitta Baral, Subhro Roy, Rasika Chakravarthy, Benjamin Van Durme, Elnaz Nouri
With the evolution of Large Language Models (LLMs) we can solve increasingly more complex NLP tasks across various domains, including spreadsheets.
no code implementations • 26 Aug 2022 • Kaize Ding, Elnaz Nouri, Guoqing Zheng, Huan Liu, Ryen White
The success of graph neural networks on graph-based web mining highly relies on abundant human-annotated data, which is laborious to obtain in practice.
no code implementations • 17 Aug 2022 • Swaroop Mishra, Elnaz Nouri
We demonstrate the efficacy of our technique HELP ME THINK on a variety of tasks.
1 code implementation • 22 Jun 2022 • Baolin Peng, Michel Galley, Pengcheng He, Chris Brockett, Lars Liden, Elnaz Nouri, Zhou Yu, Bill Dolan, Jianfeng Gao
We introduce GODEL (Grounded Open Dialogue Language Model), a large pre-trained language model for dialog.
1 code implementation • ACL 2022 • Rajkumar Pujari, Erik Oveson, Priyanka Kulkarni, Elnaz Nouri
Further, we present a multi-task model that leverages the abundance of data-rich neighboring tasks such as hate speech detection, offensive language detection, misogyny detection, etc., to improve the empirical performance on "Stereotype Detection".
no code implementations • 18 Jun 2020 • Dilip Arumugam, Debadeepta Dey, Alekh Agarwal, Asli Celikyilmaz, Elnaz Nouri, Bill Dolan
While recent state-of-the-art results for adversarial imitation-learning algorithms are encouraging, recent works exploring the imitation learning from observation (ILO) setting, where trajectories \textit{only} contain expert observations, have not been met with the same success.
1 code implementation • ACL 2020 • Angela S. Lin, Sudha Rao, Asli Celikyilmaz, Elnaz Nouri, Chris Brockett, Debadeepta Dey, Bill Dolan
Learning to align these different instruction sets is challenging because: a) different recipes vary in their order of instructions and use of ingredients; and b) video instructions can be noisy and tend to contain far more information than text instructions.
no code implementations • 27 Jan 2020 • Maartje ter Hoeve, Robert Sim, Elnaz Nouri, Adam Fourney, Maarten de Rijke, Ryen W. White
Our contributions are three-fold: (1) We first present a survey to understand the space of document-centered assistance and the capabilities people expect in this scenario.
1 code implementation • 3 Dec 2018 • Elnaz Nouri, Ehsan Hosseini-Asl
The latency in the current neural based dialogue state tracking models prohibits them from being used efficiently for deployment in production systems, albeit their highly accurate performance.
Ranked #7 on Dialogue State Tracking on Wizard-of-Oz
Dialogue State Tracking Multi-domain Dialogue State Tracking