semantic embeddings psychological taxonomy paper
2 directory members surfaced this signal.
2 experts
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“2025 paper on automated detection of jingle-jangle based on LLM embeddings. Here a proof of principle where they highlight personality scales high in label similarity (similar scale name) but low in item similarity [blue, jingle] and vice versa [beige, jang…”
2 directory members surfaced this signal.
2 experts
2 communities
1 sources clustered
“2025 paper on automated detection of jingle-jangle based on LLM embeddings. Here a proof of principle where they highlight personality scales high in label similarity (similar scale name) but low in item similarity [blue, jingle] and vice versa [beige, jang…”
2 directory members surfaced this signal.
2 experts
2 communities
1 sources clustered
“2025 paper on automated detection of jingle-jangle based on LLM embeddings. Here a proof of principle where they highlight personality scales high in label similarity (similar scale name) but low in item similarity [blue, jingle] and vice versa [beige, jang…”
2 directory members surfaced this signal.
2 experts
2 communities
1 sources clustered
“2025 paper on automated detection of jingle-jangle based on LLM embeddings. Here a proof of principle where they highlight personality scales high in label similarity (similar scale name) but low in item similarity [blue, jingle] and vice versa [beige, jang…”
2 directory members surfaced this signal.
2 experts
2 communities
1 sources clustered
“2025 paper on automated detection of jingle-jangle based on LLM embeddings. Here a proof of principle where they highlight personality scales high in label similarity (similar scale name) but low in item similarity [blue, jingle] and vice versa [beige, jang…”
2 directory members surfaced this signal.
2 experts
2 communities
1 sources clustered
“2025 paper on automated detection of jingle-jangle based on LLM embeddings. Here a proof of principle where they highlight personality scales high in label similarity (similar scale name) but low in item similarity [blue, jingle] and vice versa [beige, jang…”
2 directory members surfaced this signal.
2 experts
2 communities
1 sources clustered
“2025 paper on automated detection of jingle-jangle based on LLM embeddings. Here a proof of principle where they highlight personality scales high in label similarity (similar scale name) but low in item similarity [blue, jingle] and vice versa [beige, jang…”
2 directory members surfaced this signal.
2 experts
2 communities
1 sources clustered
“2025 paper on automated detection of jingle-jangle based on LLM embeddings. Here a proof of principle where they highlight personality scales high in label similarity (similar scale name) but low in item similarity [blue, jingle] and vice versa [beige, jang…”
