Zhengxiang Wang

LLMs' apparent behavioral fidelity in sequential tasks can mask fundamentally incorrect generative mechanisms, failing to recover latent structure even with extended context.

Machine translation benchmarks have functionally saturated, but pairing human-authored failure cases with deterministic verification rules reveals critical multimodal blind spots that automated metrics consistently miss.