This article discusses the application of Reinforcement Learning from Human Feedback (RLHF) in large language models (LLMs). It critically examines the use of Proximal Policy Optimization (PPO), which though popular,…
Continue readingPreference learning aims to align the generations of large language models (LLMs) with human preferences. Most previous work focuses on in-distribution preference learning, but this research addresses out-of-distribution (OOD) preference…
Continue readingDepression is a major global mental health concern. To address this, the paper presents a method for depression detection by integrating speech signals into Large Language Models (LLMs) using Acoustic…
Continue readingThis paper discusses the use of Large Language Models (LLMs) to enhance the conversational abilities of social robots. The authors propose a fully automated conversation system that uses LLMs to…
Continue readingThe article discusses how large language models (LLMs), despite their exceptional applicative potential, have not been effectively used in mining relationships from graph data. The authors propose a framework that…
Continue readingThis research article discusses the impact of model editing on Large Language Models (LLMs). The authors reveal that even a single edit can lead to a significant degradation in performance,…
Continue readingThis paper introduces the Distributional Preference Reward Model (DPRM) to align large language models with a diverse set of human preferences. The researchers used a beta distribution to characterize preferences,…
Continue readingThe paper presents MobiGeaR, a novel framework that generates human mobility data using large language models (LLMs). Traditional methods of collecting human mobility data are expensive and involve privacy risks,…
Continue readingThe article ‘Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence’ critically assesses 23 state-of-the-art LLM benchmarks. The authors highlight significant limitations, such as biases, difficulties…
Continue readingThe article presents a state-of-the-art analysis of Generative AI’s role in the construction industry. It identifies productivity challenges in design, planning, procurement, inspection, and maintenance processes. Generative AI, which can…
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