Author

Kisu Yang

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Jul 2026

Flat Score, Amplified Failures: How the Error Budget Masks Damage in Quantized LLM Agents

This claim for multi-turn, tool-calling agents, where it now matters most, is tested for post-training quantization to 4-bit weights and diagnostics, the per-channel error rate and success under a shrinking budget come from logs benchmarks already collect.

Jiwon Jang, Kisu Yang, Heuiseok Lim et al. · arXiv.org · 1 citation