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0 results for “semantic similarity”
Anchor Divergence for Semantic Geometry in Contrastive Learning
The paper introduces 'Anchor Divergence', a method to dynamically adapt semantic similarity geometry in fixed contrastive representations by modeling probability distributions over context-specific 'anchors', enabling context-aware retrieval without retraining.
Oct 8, 2026
Semantic Variability of Replies Across LLMs: Implications for Designing Conversation-Based Assessment
A new arXiv preprint finds that LLM-generated replies vary significantly in semantic content across different models—even when given identical prompts and chat history—suggesting that model replacement in conversational systems risks undermining assessment reliability and comparability.
Aug 27, 2026
ALEE: Any-Language Evaluation of Embeddings via English-Centric Minimal Pairs
Researchers introduced ALEE, a new cross-lingual evaluation framework for text embeddings that uses English-centric minimal pairs grounded in Abstract Meaning Representations to assess semantic fidelity across 275+ languages — addressing longstanding limitations in static, narrow, and overfit embedding benchmarks.
Published Jul 2, 2026 · Analyzed Jul 5, 2026