[PDF][PDF] Merging mixture of experts and retrieval augmented generation for enhanced information retrieval and reasoning
X **ong, M Zheng - 2024 - assets-eu.researchsquare.com
This study investigates the integration of Retrieval Augmented Generation (RAG) into the
Mistral 8x7B Large Language Model (LLM), which already uses Mixture of Experts (MoE), to …
Mistral 8x7B Large Language Model (LLM), which already uses Mixture of Experts (MoE), to …
Evaluating large language models on Wikipedia-style survey generation
Educational materials such as survey articles in specialized fields like computer science
traditionally require tremendous expert inputs and are therefore expensive to create and …
traditionally require tremendous expert inputs and are therefore expensive to create and …
Leveraging large language models for concept graph recovery and question answering in nlp education
In the domain of Natural Language Processing (NLP), Large Language Models (LLMs) have
demonstrated promise in text-generation tasks. However, their educational applications …
demonstrated promise in text-generation tasks. However, their educational applications …
Rethinking llm-based preference evaluation
The use of large language model (LLM)-based preference evaluations has become
widespread for comparing model responses, but it has revealed a notable bias towards …
widespread for comparing model responses, but it has revealed a notable bias towards …
Large language models on wikipedia-style survey generation: an evaluation in nlp concepts
Educational materials such as survey articles in specialized fields like computer science
traditionally require tremendous expert inputs and are therefore expensive to create and …
traditionally require tremendous expert inputs and are therefore expensive to create and …
Graphusion: Leveraging large language models for scientific knowledge graph fusion and construction in nlp education
Knowledge graphs (KGs) are crucial in the field of artificial intelligence and are widely
applied in downstream tasks, such as enhancing Question Answering (QA) systems. The …
applied in downstream tasks, such as enhancing Question Answering (QA) systems. The …
E-eval: a comprehensive Chinese k-12 education evaluation benchmark for large language models
J Hou, C Ao, H Wu, X Kong, Z Zheng, D Tang… - arxiv preprint arxiv …, 2024 - arxiv.org
With the accelerating development of Large Language Models (LLMs), many LLMs are
beginning to be used in the Chinese K-12 education domain. The integration of LLMs and …
beginning to be used in the Chinese K-12 education domain. The integration of LLMs and …
AAAR-1.0: Assessing AI's Potential to Assist Research
Numerous studies have assessed the proficiency of AI systems, particularly large language
models (LLMs), in facilitating everyday tasks such as email writing, question answering, and …
models (LLMs), in facilitating everyday tasks such as email writing, question answering, and …
[PDF][PDF] PointTFA: training-free clustering adaption for large 3D point cloud models
The success of contrastive learning models like CLIP, known for aligning 2D image-text
pairs, has inspired the development of triplet alignment for Large 3D Point Cloud Models …
pairs, has inspired the development of triplet alignment for Large 3D Point Cloud Models …
IOLBENCH: Benchmarking LLMs on Linguistic Reasoning
Despite the remarkable advancements and widespread applications of deep neural
networks, their ability to perform reasoning tasks remains limited, particularly in domains …
networks, their ability to perform reasoning tasks remains limited, particularly in domains …