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cs.AI2026
More Is Not Always Better: Cross-Component Interference in LLM Agent Scaffolding
Ming Liu
LLM agent systems are built by stacking scaffolding components (planning, tools, memory, self-reflection, retrieval) assuming more is better. We study cross-component interference…
cs.AI2026
Decodable but Not Corrected by Fixed Residual-Stream Linear Steering: Evidence from Medical LLM Failure Regimes
Ming Liu
Can linearly decodable failure signals in LLM hidden states be leveraged to correct those failures? We investigate this classification-correction gap via Overthinking (OT)--a stabl…
cs.AI2025
Reasoning Multimodal Large Language Model: Data Contamination and Dynamic Evaluation
Ming Liu, Wensheng Zhang
Multimodal Large Language Models (MLLMs) show impressive vision-language benchmark performance, yet growing concerns about data contamination (test set exposure during training) ri…