OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models
The paper introduces OpenToM, a new benchmark for evaluating the Neural Theory-of-Mind (N-ToM), the machine’s ability to…
The paper introduces OpenToM, a new benchmark for evaluating the Neural Theory-of-Mind (N-ToM), the machine’s ability to…
This research investigates the capabilities of Large Language Models (LLMs) in debate-based opinion consensus formation. It tests…
The paper discusses TWIG (Topologically-Weighted Intelligence Generation), an innovative paradigm for simulating the output of Knowledge Graph…
The article discusses the challenges in Knowledge Graph (KG) learning due to its immense size. Four key…
This academic paper introduces DeAL, a framework for Decoding-time Alignment of Large Language Models (LLMs). Current techniques…
This research uses multimodal large language models (MLLMs) to enhance art appreciation education. The study introduces LLaVA-Docent,…
The paper discusses challenges in Temporal Interaction Graphs (TIGs) used in systems like e-commerce and social networks….
The article discusses the importance of integrating human values into AI systems, a concept known as ‘value…
The article discusses a new approach in Generative Artificial Intelligence, specifically large text-to-image models. It introduces a…
This academic paper by Joost J. Joosten and Manuela Montoya Garcia delves into the relationship between Artificial…