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07/05/2023
SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference
Autoregressive large language models (LLMs) have made remarkable progres...
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06/05/2023
Orca: Progressive Learning from Complex Explanation Traces of GPT-4
Recent research has focused on enhancing the capability of smaller model...
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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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11/01/2022
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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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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05/05/2022
Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021
Human intelligence has the remarkable ability to quickly adapt to new ta...
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03/12/2022
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy
Vision transformers (ViTs) have gained increasing popularity as they are...
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10/13/2021
NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment
Human intelligence has the remarkable ability to adapt to new tasks and ...
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04/12/2020
TinyMBERT: Multi-Stage Distillation Framework for Massive Multi-lingual NER
Deep and large pre-trained language models are the state-of-the-art for ...
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04/22/2018
