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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
Mean-Field Parallel Decoding for Discrete Diffusion Language Models
Tamim Zoabi, Ameen Ali, Liran Ringel +1
Discrete diffusion language models enable parallel token generation, offering a pathway to low-latency decoding. However, selecting tokens independently by marginal confidence limi…