The article introduces SceMQA, a new benchmark for scientific multimodal question answering at the college entrance level. It covers core science subjects including Mathematics, Physics, Chemistry, and Biology. The benchmark…
Continue readingThe article presents a study on the use of Reinforcement Learning from Human Feedback (RLHF) to improve the performance of the GPT Neo 125M in the Community Question Answering (CQA)…
Continue readingThe article presents a new approach to answering complex temporal questions over a Temporal Knowledge Graph (TKG) using a JointMultiFactsReasoning Network (JMFRN). Traditional TKG question answering models struggle with questions…
Continue readingThis paper presents a new dataset that assists in the information extraction process in Evidence-Based Medicine (EBM) using AI. This dataset includes explanatory arguments for correct and incorrect answers to…
Continue readingThe study introduces LongStoryShort, a model that uses GPT-3 for narrative video question answering. The model first summarizes the narrative of the video into a short plot and then searches…
Continue readingThe paper presents a neuro-symbolic framework, PSYCHIC, developed for the Scholarly Question Answering over Linked Data (Scholarly QALD) challenge at The International Semantic Web Conference 2023. This challenge focuses on…
Continue readingThis paper presents a method to improve the understanding and analysis of long-format videos. The authors propose a query-aware method for localizing and understanding relations in long videos by using…
Continue readingThe study investigates the capacity of large language models to store and extract knowledge. It questions whether the model’s responses are based on exposure to similar questions during training or…
Continue readingVisKoP, or Visual Knowledge oriented Programming, is a knowledge base question answering (KBQA) system that integrates human interaction to edit and debug knowledge base queries. The system converts natural language…
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