Search Results for author: Elnaz Nouri

Found 15 papers, 4 papers with code

HetTree: Heterogeneous Tree Graph Neural Network

no code implementations21 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.

Solving Data-centric Tasks using Large Language Models

no code implementations18 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.

InstructExcel: A Benchmark for Natural Language Instruction in Excel

no code implementations23 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.

Toward Robust Graph Semi-Supervised Learning against Extreme Data Scarcity

no code implementations26 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.

Data Augmentation Node Classification

Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype Detection

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".

Hate Speech Detection Multi-Task Learning

Reparameterized Variational Divergence Minimization for Stable Imitation

no code implementations18 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.

Continuous Control Imitation Learning

A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks

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.

Descriptive

Conversations with Documents. An Exploration of Document-Centered Assistance

no code implementations27 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.

Toward Scalable Neural Dialogue State Tracking Model

1 code implementation3 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.

Dialogue State Tracking Multi-domain Dialogue State Tracking

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