activity
20212026
most citedRetrieving Supporting Evidence for Generative Question Answering

62 citations · 226 across the 45 of their papers we have counts for

collaborators
Showing 2022Show all

7 papers · 1 filter

cs.CL2022★ 2 cited

Collecting Interactive Multi-modal Datasets for Grounded Language Understanding

Shrestha Mohanty, Negar Arabzadeh, Milagro Teruel +9

Human intelligence can remarkably adapt quickly to new tasks and environments. Starting from a very young age, humans acquire new skills and learn how to solve new tasks either by…

cs.AI2022★ 1 cited

Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions

Alexey Skrynnik, Zoya Volovikova, Marc-Alexandre Côté +9

The adoption of pre-trained language models to generate action plans for embodied agents is a promising research strategy. However, execution of instructions in real or simulated e…

cs.IR2022★ 1 cited

Early Stage Sparse Retrieval with Entity Linking

Dahlia Shehata, Negar Arabzadeh, Charles L. A. Clarke

Despite the advantages of their low-resource settings, traditional sparse retrievers depend on exact matching approaches between high-dimensional bag-of-words (BoW) representations…

cs.IR2022★ 1 cited

Unsupervised Question Clarity Prediction Through Retrieved Item Coherency

Negar Arabzadeh, Mahsa Seifikar, Charles L. A. Clarke

Despite recent progress on conversational systems, they still do not perform smoothly and coherently when faced with ambiguous requests. When questions are unclear, conversational…

cs.CL2022★ 6 cited

IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022

Julia Kiseleva, Alexey Skrynnik, Artem Zholus +14

Human intelligence has the remarkable ability to adapt to new tasks and environments quickly. Starting from a very young age, humans acquire new skills and learn how to solve new t…

cs.CL2022

PREME: Preference-based Meeting Exploration through an Interactive Questionnaire

Negar Arabzadeh, Ali Ahmadvand, Julia Kiseleva +4

The recent increase in the volume of online meetings necessitates automated tools for managing and organizing the material, especially when an attendee has missed the discussion an…

cs.IR2022

Making Large Language Models Interactive: A Pioneer Study on Supporting Complex Information-Seeking Tasks with Implicit Constraints

Ali Ahmadvand, Negar Arabzadeh, Julia Kiseleva +7

Current interactive systems with natural language interfaces lack the ability to understand a complex information-seeking request which expresses several implicit constraints at on…