Recommender systems in the era of large language models (llms)

Z Zhao, W Fan, J Li, Y Liu, X Mei, Y Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
With the prosperity of e-commerce and web applications, Recommender Systems (RecSys)
have become an important component of our daily life, providing personalized suggestions …

Recommender systems in the era of large language models (llms)

Z Zhao, W Fan, J Li, Y Liu, X Mei… - … on Knowledge and …, 2024 - ieeexplore.ieee.org
With the prosperity of e-commerce and web applications, Recommender Systems (RecSys)
have become an indispensable and important component in our daily lives, providing …

Graph of thoughts: Solving elaborate problems with large language models

M Besta, N Blach, A Kubicek, R Gerstenberger… - Proceedings of the …, 2024 - ojs.aaai.org
Abstract We introduce Graph of Thoughts (GoT): a framework that advances prompting
capabilities in large language models (LLMs) beyond those offered by paradigms such as …

Compositional chain-of-thought prompting for large multimodal models

C Mitra, B Huang, T Darrell… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
The combination of strong visual backbones and Large Language Model (LLM) reasoning
has led to Large Multimodal Models (LMMs) becoming the current standard for a wide range …

Knowledge graph prompting for multi-document question answering

Y Wang, N Lipka, RA Rossi, A Siu, R Zhang… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
Thepre-train, prompt, predict'paradigm of large language models (LLMs) has achieved
remarkable success in open-domain question answering (OD-QA). However, few works …

Branch-solve-merge improves large language model evaluation and generation

S Saha, O Levy, A Celikyilmaz, M Bansal… - arXiv preprint arXiv …, 2023 - arxiv.org
Large Language Models (LLMs) are frequently used for multi-faceted language generation
and evaluation tasks that involve satisfying intricate user constraints or taking into account …

[PDF][PDF] Efficient large language models: A survey

Z Wan, X Wang, C Liu, S Alam, Y Zheng… - arXiv preprint arXiv …, 2023 - researchgate.net
Abstract Large Language Models (LLMs) have demonstrated remarkable capabilities in
important tasks such as natural language understanding, language generation, and …

A systematic survey of prompt engineering in large language models: Techniques and applications

P Sahoo, AK Singh, S Saha, V Jain, S Mondal… - arXiv preprint arXiv …, 2024 - arxiv.org
Prompt engineering has emerged as an indispensable technique for extending the
capabilities of large language models (LLMs) and vision-language models (VLMs). This …

Controlllm: Augment language models with tools by searching on graphs

Z Liu, Z Lai, Z Gao, E Cui, Z Li, X Zhu, L Lu… - arXiv preprint arXiv …, 2023 - arxiv.org
We present ControlLLM, a novel framework that enables large language models (LLMs) to
utilize multi-modal tools for solving complex real-world tasks. Despite the remarkable …

Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents

Z Zhang, Y Yao, A Zhang, X Tang, X Ma, Z He… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) have dramatically enhanced the field of language
intelligence, as demonstrably evidenced by their formidable empirical performance across a …