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Sungjoo Yoo

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#artificial intelligence Preprint Sep 2026

LiteEvo: Automated, Cost-Efficient Harness Evolution for Generalization to Unseen Tasks

An LLM agent is defined by two things: the weights inside its model and the harness of components assembled around it. Harnesses are still handcrafted, and HarnessX, which evolves them automatically, starts each benchmark from a handcrafted harness, reports gains on the tasks it evolved on, and budgets 100 to 175 milli...

Euntae Choi, Su-Min Song, Sungjoo Yoo · 0 citations
#artificial intelligence Preprint Aug 2026

Output-Aware Rotation for INT2 KV-Cache Quantization

The key-value (KV) cache has become a major memory and bandwidth bottleneck in long-context large language model inference, making ultra-low-bit quantization increasingly important. However, existing rotation-based INT2 methods optimize cache statistics or proxy errors before the complete attention readout, even though...

Vincent-Daniel Yun, Woo-Sang Lim, Minsoo Cheong et al. · 1 citation

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