Recipe-Matching, Not Equivalence

arXiv:2609.31927 · cs.IR, cs.CL, cs.LG · Submitted 2026-09-25 · Read on arXiv

cs.IR, cs.CL, cs.LG

Submitted: 2026-09-25

Updated: 2026-09-25

Code: https://github.com/KAUST-Academy/recipe-matching-not-equivalence

Terminology

• Benchmark — 203× in this paper · explained in 2 episodes
• AUC — 12× in this paper · explained in 2 episodes
• Calibration — 8× in this paper · explained in 7 episodes
• LLM judge — 7× in this paper · explained in 2 episodes
• Core — 5× in this paper · explained in 2 episodes
• Commentary — 4× in this paper · explained in 2 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 4 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• LoRA Adapters — 2× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Continual Learning — 1× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• King Abdullah University of Science and Technology — 1× in this paper
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Natural Language Inference (NLI) — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• MathNet: a Global Multimodal Benchmark for Mathematical Reasoning and Retrieval
• SABER-Math: Automated Benchmark for Information Retrieval Evaluation in Mathematics
• Does My Embedding Reflect That $A = B$? Evaluating Mathematical Equivalence in Embedding Models
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
• Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
• On Tiny Episodic Memories in Continual Learning
• Multilingual E5 Text Embeddings: A Technical Report
• MIRB: Mathematical Information Retrieval Benchmark
• PyLate: Flexible Training and Retrieval for Late Interaction Models

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