Comet browser, Truth Social concerns and how to battle hallucinations: Perplexity's head of communications reflects - Tom's Guide
Comet browser, Truth Social concerns and how to battle hallucinations: Perplexity's head of communications reflects Tom's Guide
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Read on Google News - AI hallucination accuracy →Google News - AI hallucination accuracy
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An End-to-End Model for Logits-Based Large Language Models Watermarking
arXiv:2505.02344v3 Announce Type: replace Abstract: The rise of LLMs has increased concerns over source tracing and copyright protection for AIGC, highlighting the need for advanced detection technologies. Passive detection methods usually face high false positives, while active watermarking techniques using logits or sampling manipulation offer more effective protection. Existing LLM watermarking methods, though effective on unaltered content, suffer significant performance drops when the text is modified and could introduce biases that degrade LLM performance in downstream tasks. These methods fail to achieve an optimal tradeoff between text quality and robustness, particularly due to the lack of end-to-end optimization of the encoder and decoder. In this paper, we introduce a novel end-
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