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A problem with many current Large Language Model (LLM) driven spoken dialogues is the response time.
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Natural Questions: A Benchmark for Question Answering Research
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Noam Chomsky, Ian Roberts, and Jeffrey Watumull. 2023 · 2023
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LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models. In Proceedings of the 5th Workshop on NLP for Conversational AI (NLP4ConvAI 2023) , Yun-Nung Chen and Abhinav Rastogi (Eds.). Association for Computational Linguistics, Toronto, Canada, 47–58
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Understanding User Perceptions of Robot’s Delay, Voice Quality-Speed Trade-off and GUI during Conversation. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA ’20) . Association for Computing Machinery, New York, NY, USA, 1–8
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Understanding Dialogue for Human Communication
Bernardo Magnini and Samuel Louvan. 2022 · 2022
Cited alongside, same era.
Online Semantic Parsing for Latency Reduction in Task-Oriented Dialogue. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , Smaranda Muresan, Preslav Nakov, and Aline Villavicencio (Eds.). Association for Computational Linguistics, Dublin, Ireland, 1554–1576
Jiawei Zhou, Jason Eisner, Michael Newman, Emmanouil Antonios Platanios, and Sam Thomson. 2022 · 2022
Cited alongside, same era.
GPT-3.5 and GPT-4 response times
2023 · 2023
Cited alongside, same era.
2024 · 2024
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Syed Rameel Ahmad. 2024 · 2024
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SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Ansar Aynetdinov and Alan Akbik. 2024 · 2024
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Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents
Corby Rosset, Ho-Lam Chung, Guanghui Qin, Ethan C. Chau, Zhuo Feng, Ahmed Awadallah, Jennifer Neville, and Nikhil Rao. 2024 · 2024
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