Blog(5)

• Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors

  In a spoken dialogue system, an NLU model is preceded by a speech recognition system that can deteriorate the performance of natural language understanding. We propose to investigate the impact of speech recognition errors on the performance of natural language understanding models with a procedure that consists of three stages

• Multilingual Open Custom Keyword Spotting Testset

  In the ever-growing landscape of technology, voice intelligence-based solutions evolved and reshaped how we interact with devices, applications, and services.

• Efficient Compositional Multi-tasking for On-device Large Language Models

  Adapter parameters [2] provide a mechanism to modify the behaviour of machine learning models and have gained significant popularity in the context of large language models (LLMs) and generative AI.

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Publications(33)

• LIFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning

  AuthorMinyoung Kim, Timothy Hospedales

  PublishedInternational Conference on Learning Representation (ICLR)

  Date2025-04-25

• Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP

  AuthorShell Xu Hu

  PublishedConference on Empirical Methods in Natural Language Processing (EMNLP)

  Date2024-11-13

• MobileQuant: Mobile-friendly Quantization for On-device Language Models

  AuthorShell Xu Hu, Sourav Bhattacharya, Timothy Hospedales, Georgios Tzimiropoulos, Brais Martinez

  PublishedConference on Empirical Methods in Natural Language Processing (EMNLP)

  Date2024-11-13

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News(2)

• SRC-B Ranks Top Places in the Semantic Evaluation International Competition

  Natural language processing (NLP) aims to enhance computers to be capable of understanding the semantics of languages. With the development of deep learning, NLP has achieved great advances in recent years. In particular, NLP-related competitions have seen many new NLP algorithms and have become an unprecedented way to promote NLP research.

• Samsung Research at EMNLP 2018

  Research from Samsung Research will be presented in the oral and poster sessions of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018).

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