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Give us the facts: Enhancing large language models with knowledge graphs for fact-aware language modeling
Recently, ChatGPT, a representative large language model (LLM), has gained considerable
attention. Due to their powerful emergent abilities, recent LLMs are considered as a possible …
attention. Due to their powerful emergent abilities, recent LLMs are considered as a possible …
Cognitive mirage: A review of hallucinations in large language models
As large language models continue to develop in the field of AI, text generation systems are
susceptible to a worrisome phenomenon known as hallucination. In this study, we …
susceptible to a worrisome phenomenon known as hallucination. In this study, we …
[PDF][PDF] A survey of large language models
Ever since the Turing Test was proposed in the 1950s, humans have explored the mastering
of language intelligence by machine. Language is essentially a complex, intricate system of …
of language intelligence by machine. Language is essentially a complex, intricate system of …
Math-shepherd: Verify and reinforce llms step-by-step without human annotations
In this paper, we present an innovative process-oriented math process reward model
called\textbf {Math-Shepherd}, which assigns a reward score to each step of math problem …
called\textbf {Math-Shepherd}, which assigns a reward score to each step of math problem …
[HTML][HTML] Applying large language models and chain-of-thought for automatic scoring
This study investigates the application of large language models (LLMs), specifically GPT-
3.5 and GPT-4, with Chain-of-Though (CoT) in the automatic scoring of student-written …
3.5 and GPT-4, with Chain-of-Though (CoT) in the automatic scoring of student-written …
Igniting language intelligence: The hitchhiker's guide from chain-of-thought reasoning to language agents
Large language models (LLMs) have dramatically enhanced the field of language
intelligence, as demonstrably evidenced by their formidable empirical performance across a …
intelligence, as demonstrably evidenced by their formidable empirical performance across a …
Making large language models better reasoners with alignment
Reasoning is a cognitive process of using evidence to reach a sound conclusion. The
reasoning capability is essential for large language models (LLMs) to serve as the brain of …
reasoning capability is essential for large language models (LLMs) to serve as the brain of …
Can we trust large language models generated code? a framework for in-context learning, security patterns, and code evaluations across diverse llms
Large Language Models (LLMs) such as ChatGPT and GitHub Copilot have revolutionized
automated code generation in software engineering. However, as these models are …
automated code generation in software engineering. However, as these models are …
Understanding reasoning ability of language models from the perspective of reasoning paths aggregation
Pre-trained language models (LMs) are able to perform complex reasoning without explicit
fine-tuning. To understand how pre-training with a next-token prediction objective …
fine-tuning. To understand how pre-training with a next-token prediction objective …
InfinityMath: A Scalable Instruction Tuning Dataset in Programmatic Mathematical Reasoning
Recent advancements in Chain-of-Thoughts (CoT) and Program-of-Thoughts (PoT) methods
have greatly enhanced language models' mathematical reasoning capabilities, facilitating …
have greatly enhanced language models' mathematical reasoning capabilities, facilitating …