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Language models don't always say what they think: unfaithful explanations in chain-of-thought prompting
Abstract Large Language Models (LLMs) can achieve strong performance on many tasks by
producing step-by-step reasoning before giving a final output, often referred to as chain-of …
producing step-by-step reasoning before giving a final output, often referred to as chain-of …
Siren's song in the AI ocean: a survey on hallucination in large language models
While large language models (LLMs) have demonstrated remarkable capabilities across a
range of downstream tasks, a significant concern revolves around their propensity to exhibit …
range of downstream tasks, a significant concern revolves around their propensity to exhibit …
Whose opinions do language models reflect?
Abstract Language models (LMs) are increasingly being used in open-ended contexts,
where the opinions they reflect in response to subjective queries can have a profound …
where the opinions they reflect in response to subjective queries can have a profound …
Inference-time intervention: Eliciting truthful answers from a language model
Abstract We introduce Inference-Time Intervention (ITI), a technique designed to enhance
the" truthfulness" of large language models (LLMs). ITI operates by shifting model activations …
the" truthfulness" of large language models (LLMs). ITI operates by shifting model activations …
Trustllm: Trustworthiness in large language models
Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …
attention for their excellent natural language processing capabilities. Nonetheless, these …
A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions
The emergence of large language models (LLMs) has marked a significant breakthrough in
natural language processing (NLP), fueling a paradigm shift in information acquisition …
natural language processing (NLP), fueling a paradigm shift in information acquisition …