SNIP++: Fine-Grained Symbolic-Numerical Alignment for Symbolic Regression

arXiv:2609.31965 · cs.NE, cs.AI, cs.LG · Submitted 2026-09-25 · Read on arXiv

cs.NE, cs.AI, cs.LG

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• Alignment — 64× in this paper · explained in 1 episode
• Symbolic Regression — 21× in this paper · explained in 5 episodes
• Transformer — 13× in this paper · explained in 2 episodes
• Embeddings — 12× in this paper · explained in 2 episodes
• Modality Gap — 10× in this paper · explained in 4 episodes
• Grounding — 6× in this paper · explained in 3 episodes
• Generalization — 5× in this paper · explained in 13 episodes
• Cosine Similarity — 4× in this paper · explained in 3 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Latent Space — 2× in this paper · explained in 7 episodes
• RAG — 2× in this paper · explained in 3 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Alignment Methods — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Core — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• In International Conference on Machine Learning — 1× in this paper
• Objective Function — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes

Sources

• Linear algebra with transformers
• Analyzing Generalization in Pre-Trained Symbolic Regression

Related papers

• Evolutionary Ensemble of Agents
• Encoding and Decoding Temporal Signals with Spiking Bandpass Wavelets
• Large Language Models and Evolutionary Computation: A Critical Review of Bidirectional Interaction, Automated Algorithm Design, and Co-Adaptive Systems
• Learning Alzheimer's Disease Signatures by bridging EEG with Spiking Neural Networks and Biophysical Simulations
• Investigating Hyperparameter Optimization and Transferability for ES-HyperNEAT: A TPE Approach
• S-AI-Recursive: A Bio-Inspired and Temporal Sparse AI Architecture for Iterative, Introspective, and Energy-Frugal Reasoning