NeurIPS 2026

4 papers accepted to NeurIPS 2026:

• M²RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling
• GPU Hierarchy Meets Structured Matrices: Fast Algorithms for State-Space Models
• CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs
• NyoomFloat12: Accelerating LLM Inference via Lossless 12-bit Weight Compression