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Tool learning with large language models: A survey
Recently, tool learning with large language models (LLMs) has emerged as a promising
paradigm for augmenting the capabilities of LLMs to tackle highly complex problems …
paradigm for augmenting the capabilities of LLMs to tackle highly complex problems …
Foundation model for advancing healthcare: challenges, opportunities and future directions
Foundation model, trained on a diverse range of data and adaptable to a myriad of tasks, is
advancing healthcare. It fosters the development of healthcare artificial intelligence (AI) …
advancing healthcare. It fosters the development of healthcare artificial intelligence (AI) …
Metamath: Bootstrap your own mathematical questions for large language models
Large language models (LLMs) have pushed the limits of natural language understanding
and exhibited excellent problem-solving ability. Despite the great success, most existing …
and exhibited excellent problem-solving ability. Despite the great success, most existing …
[PDF][PDF] Understanding the planning of LLM agents: A survey
Abstract As Large Language Models (LLMs) have shown significant intelligence, the
progress to leverage LLMs as planning modules of autonomous agents has attracted more …
progress to leverage LLMs as planning modules of autonomous agents has attracted more …
Unveiling the generalization power of fine-tuned large language models
While Large Language Models (LLMs) have demonstrated exceptional multitasking abilities,
fine-tuning these models on downstream, domain-specific datasets is often necessary to …
fine-tuning these models on downstream, domain-specific datasets is often necessary to …
Lampilot: An open benchmark dataset for autonomous driving with language model programs
Autonomous driving (AD) has made significant strides in recent years. However existing
frameworks struggle to interpret and execute spontaneous user instructions such as" …
frameworks struggle to interpret and execute spontaneous user instructions such as" …
Motionllm: Understanding human behaviors from human motions and videos
This study delves into the realm of multi-modality (ie, video and motion modalities) human
behavior understanding by leveraging the powerful capabilities of Large Language Models …
behavior understanding by leveraging the powerful capabilities of Large Language Models …
Capabilities of large language models in control engineering: A benchmark study on gpt-4, claude 3 opus, and gemini 1.0 ultra
In this paper, we explore the capabilities of state-of-the-art large language models (LLMs)
such as GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra in solving undergraduate-level control …
such as GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra in solving undergraduate-level control …
Foundation models for recommender systems: A survey and new perspectives
Recently, Foundation Models (FMs), with their extensive knowledge bases and complex
architectures, have offered unique opportunities within the realm of recommender systems …
architectures, have offered unique opportunities within the realm of recommender systems …
Factored cognition models: Enhancing llm performance through modular decomposition
S Wench, K Maxwell - Authorea Preprints, 2024 - techrxiv.org
Generative AI has achieved remarkable progress in producing human-like text, yet
challenges remain in improving the predictability, reliability, and overall performance of …
challenges remain in improving the predictability, reliability, and overall performance of …