1 citations · 2 across the 4 of their papers we have counts for
4 papers
EnterpriseRAG-Bench: A RAG Benchmark for Company Internal Knowledge
Yuhong Sun, Joachim Rahmfeld, Chris Weaver +4
Retrieval-Augmented Generation (RAG) has become the standard approach for grounding large language models in information that was not available during training. While existing data…
Error Classification of Large Language Models on Math Word Problems: A Dynamically Adaptive Framework
Yuhong Sun, Zhangyue Yin, Xuanjing Huang +2
Large Language Models (LLMs) have demonstrated remarkable capabilities across various domains. Math Word Problems (MWPs) serve as a crucial benchmark for evaluating LLMs' reasoning…
Benchmarking Hallucination in Large Language Models based on Unanswerable Math Word Problem
Yuhong Sun, Zhangyue Yin, Qipeng Guo +3
Large language models (LLMs) are highly effective in various natural language processing (NLP) tasks. However, they are susceptible to producing unreliable conjectures in ambiguous…
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice
Hugo Latapie, Ozkan Kilic, Gaowen Liu +7
This paper introduces a new metamodel-based knowledge representation that significantly improves autonomous learning and adaptation. While interest in hybrid machine learning / sym…