A discoverability bias favors correct responses: the highest-quality KP is retrieved far better than all other KPs across embedding models and clustering algorithms¶

Claim · All claims
Evidence · 1 study · associational r2 · q3
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? KP1 (highest-quality responses) achieved the highest F1 discoverability score in ten of twelve model-algorithm-item configurations, with AlephBERT+KMeans reaching F1 .60 (Q1) and .67 (Q2), while other KPs were generally below 0.50. → Abigail Gurin Schleifer 2025

Evidence¶

Abigail Gurin Schleifer 2025¶

Abigail Gurin Schleifer, Beata Beigman Klebanov, Giora Alexandron. (2025). Uncovering Measurement Biases in LLM Embedding Spaces: The Anna Karenina Principle and Its Implications for Automated Feedback. Int J Artif Intell Educ. https://doi.org/10.1007/s40593-025-00485-7

q3 · i? · associational · r2

Per-KP F1 analysis treating each emergent cluster as a retrieval attempt for each KP, across 2×3 model-algorithm configurations for two items. "AlephBERT achieves fairly strong retrieval results on KP1 with F1 score of .60,. 67"; the paper reports KP1 highest in ten of twelve cases, with other KPs generally below .50.

"First, we observe that AlephBERT achieves fairly strong retrieval results on KP1 with F1 score of .60,. 67 for Q1, Q2 respectively, using the KMeans clustering."

Discussion¶

Related Claims¶

• The Anna Karenina effect: the lower the quality of a Knowledge Profile, the less similar its responses are to each other in LLM embedding space — related
• LLMs show discoverability bias: they accurately identify only high-quality open-ended biology responses and miss nuanced misconceptions — possibly the same claim (merge candidate)
• Clusters computed from pre-trained LLM embeddings show low overall alignment with theory-driven Knowledge Profiles of student biology responses — related
• A small monolingual embedding model (AlephBERT) outperformed larger multilingual models on KP retrieval in both ARI and per-KP F1 analyses — related