Speaker Year: 2022

AmbigNLG tackles ambiguity in Natural Language Generation (NLG) instructions by identifying unclear specifications and refining
November 7, 2024
Many of us have seen the memes of jobs asking for years of experience from
October 24, 2024
Through this inside peek at our internship program, explore the types of projects we at
September 23, 2024
MEGAnno combines the power of large language models (LLMs) with human expertise to streamline and
July 31, 2024
Drawing from our experience at the NAACL conference, the Megagon Labs team has crafted this
July 16, 2024
Long-form text matching is a critical problem to solve in the field of Natural Language
June 26, 2024
Explore the relationship between option arrangement and performance variations in Large Language Models (LLMs) during
June 13, 2024
Researchers at Megagon Labs have been exploring how we can address the challenges of building
June 12, 2024
The article presents the WiTQA dataset, designed to assess the impact of retrieval on the
June 6, 2024
By enabling robust and accurate column annotation, this innovative framework holds the potential to revolutionize
June 3, 2024
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