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cs.AI2026
JOVE: Joint Execution and Verification for Resource-Aware LLM Task Graphs
Haoran Zhang, Dongjun Kim, Seohyeon Cha +4
Complex reasoning queries can be decomposed into directed acyclic task graphs and distributed across heterogeneous LLMs, reducing latency through parallelism and enabling smaller m…
cs.LG2026
CoreQ: Learning-Free Mismatch Correction and Successive Rounding for Quantization
Seohyeon Cha, Huancheng Chen, Dongjun Kim +4
Post-training quantization (PTQ) enables efficient deployment of large language models by mapping pretrained weights to low-bit formats without retraining, typically using a small…