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09/20/2023
Retrieving Supporting Evidence for Generative Question Answering
Current large language models (LLMs) can exhibit near-human levels of pe...
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06/23/2023
Retrieving Supporting Evidence for LLMs Generated Answers
Current large language models (LLMs) can exhibit near-human levels of pe...
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05/18/2023
Query Performance Prediction: From Ad-hoc to Conversational Search
Query performance prediction (QPP) is a core task in information retriev...
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05/18/2023
Transforming Human-Centered AI Collaboration: Redefining Embodied Agents Capabilities through Interactive Grounded Language Instructions
Human intelligence's adaptability is remarkable, allowing us to adjust t...
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11/12/2022
Collecting Interactive Multi-modal Datasets for Grounded Language Understanding
Human intelligence can remarkably adapt quickly to new tasks and environ...
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11/01/2022
Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions
The adoption of pre-trained language models to generate action plans for...
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08/09/2022
Early Stage Sparse Retrieval with Entity Linking
Despite the advantages of their low-resource settings, traditional spars...
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08/09/2022
Unsupervised Question Clarity Prediction Through Retrieved Item Coherency
Despite recent progress on conversational systems, they still do not per...
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05/27/2022
IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022
Human intelligence has the remarkable ability to adapt to new tasks and ...
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05/02/2022
Supporting Complex Information-Seeking Tasks with Implicit Constraints
Current interactive systems with natural language interface lack an abil...
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09/22/2021
Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection
Over the last few years, contextualized pre-trained transformer models s...
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08/31/2021
