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cs.CL2026
ClusterFewshot: Improving Few-shot Optimization for LLMs workflow
Omri Bar Haim, Shahar Katz, Lior Wolf
The performance of large language model (LLM) workflows often depends on selecting a small set of in-context demonstrations to guide model behavior on new tasks. Recent methods imp…
cs.LG2026
TensorLens: End-to-End Transformer Analysis via High-Order Attention Tensors
Ido Andrew Atad, Itamar Zimerman, Shahar Katz +1
Attention matrices are fundamental to transformer research, supporting a broad range of applications including interpretability, visualization, manipulation, and distillation. Yet,…