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A small number of samples can poison LLMs of any size
In a joint study with the UK AI Security Institute and the Alan Turing Institute, we found that as few as 250 malicious documents can produce a "backdoor" vulnerability in a large language model—…
LLMs Reproduce Human Purchase Intent via Semantic Similarity Elicitation of Likert Ratings
arXiv:2510.08338v1 Announce Type: new Abstract: Consumer research costs companies billions annually yet suffers from panel biases and limited scale. Large language models (LLMs) offer an alternative…
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