Addressing Hallucination in Large Language Models
Explore the challenges of hallucination in language models, including examples and potential solutions to improve fidelity and factualness in generated text. Learn from research findings to mitigate hallucination biases.
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BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models
Retrieval-augmented language models like BTR address issues such as hallucination by providing efficient solutions for encoding input passages and queries. By utilizing cacheable binary token representations, BTR offers a unique approach to decomposing and binarizing passage encoding to improve runt
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Shakespeare's Portrayal of Macbeth's Interaction with Witchcraft and the Supernatural
Shakespeare explores Macbeth's deepening connection to witchcraft and the supernatural through a compelling dramatic monologue where Macbeth grapples with a hallucination of a dagger. This extract delves into Macbeth's internal turmoil, hinting at the influence of supernatural forces on his actions
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Advancements in Logical Natural Language Generation from Open-Domain Tables
Cutting-edge research in logical natural language generation (NLG) is transforming the field by moving beyond traditional surface realization to generate summarized text, conclude trends, and apply logical and mathematical operations. By addressing limitations such as lack of logical inference, summ
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