Natural Language
Natural language processing (NLP) focuses on enabling computers to understand, interpret, and generate human language. Current research heavily utilizes large language models (LLMs), such as BERT and others, to tackle diverse tasks including text-to-SQL translation, semantic analysis of images, and even controlling robots via natural language commands. The field's impact spans various sectors, from improving search engines and e-commerce platforms to advancing healthcare diagnostics and facilitating more efficient scientific research through automated literature analysis and data extraction.
Papers
Free to play: UN Trade and Development's experience with developing its own open-source Retrieval Augmented Generation Large Language Model application
Daniel Hopp
Automatic benchmarking of large multimodal models via iterative experiment programming
Alessandro Conti, Enrico Fini, Paolo Rota, Yiming Wang, Massimiliano Mancini, Elisa Ricci
garak: A Framework for Security Probing Large Language Models
Leon Derczynski, Erick Galinkin, Jeffrey Martin, Subho Majumdar, Nanna Inie
Large Language Models for Automatic Milestone Detection in Group Discussions
Zhuoxu Duan, Zhengye Yang, Samuel Westby, Christoph Riedl, Brooke Foucault Welles, Richard J. Radke
RelevAI-Reviewer: A Benchmark on AI Reviewers for Survey Paper Relevance
Paulo Henrique Couto, Quang Phuoc Ho, Nageeta Kumari, Benedictus Kent Rachmat, Thanh Gia Hieu Khuong, Ihsan Ullah, Lisheng Sun-Hosoya
DisfluencySpeech -- Single-Speaker Conversational Speech Dataset with Paralanguage
Kyra Wang, Dorien Herremans
NATURAL PLAN: Benchmarking LLMs on Natural Language Planning
Huaixiu Steven Zheng, Swaroop Mishra, Hugh Zhang, Xinyun Chen, Minmin Chen, Azade Nova, Le Hou, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou
Verbalized Machine Learning: Revisiting Machine Learning with Language Models
Tim Z. Xiao, Robert Bamler, Bernhard Schölkopf, Weiyang Liu
A Survey of Language-Based Communication in Robotics
William Hunt, Sarvapali D. Ramchurn, Mohammad D. Soorati
Lean Workbook: A large-scale Lean problem set formalized from natural language math problems
Huaiyuan Ying, Zijian Wu, Yihan Geng, Jiayu Wang, Dahua Lin, Kai Chen
What Makes Language Models Good-enough?
Daiki Asami, Saku Sugawara