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Hao Mark Chen

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Preprint Sep 2026

HyQDB: LLM-Assisted Debugging for Hybrid Quantum Workflows

Hybrid quantum program failures frequently occur silently, yet existing debugging tools provide limited support for detecting and repairing them. These faults dominate the failures reported by domain experts, yet existing tools evaluate on public data that under-represents this failure mode. Our key insight is that fau...

Charlie Campbell, H. Chen, Shuang Liang et al. · 0 citations
#machine learning Preprint Sep 2026

COGNIT-Guard: Calibrated Standalone Direct-Decision Guardrails with Heterogeneous CPU-NPU Confidence Cascading under Explicit Latency and False-Positive Constraints

COGNIT-Guard is presented, coupling a validation-calibrated CPU fast gatekeeper with confidence-gated escalation to an NPU-resident 322M bidirectional direct-decision model (Laya-322M) under an asymmetric false-positive penalty.

H. Chen · 0 citations
#machine learning Preprint Sep 2026

HM-ROUTER: Joint Model and Harness Routing for Agentic Systems

HM-Router is introduced, a routing method that jointly selects a model and harness for each query, with an interaction term inspired by canonical polyadic tensor decomposition to capture how their compatibility varies with the query.

H. Chen, Royson Lee, Yasuyuki Okoshi et al. · 0 citations
#machine learning Preprint Sep 2026

AgentKV: Phase-Aware KV Eviction for Agentic LLMs

This work proposes AGENTKV, which maintains a small query buffer per phase and scores cached keys against their union and implements AGENTKV in a persistent multi-turn serving path that carries compressed KV state across turns and compacts retained KV pages online.

T. Liu, Jeffrey T. H. Wong, Can Xiao et al. · 1 citation
Preprint Aug 2026

AOSpec: Action and Observation Co-Speculation for Low-Latency Agent Serving

This work presents AOSpec, a lossless framework that co-speculates actions and observations across the full agent-environment loop, and outperforms every practical baseline, reducing mean end-to-end latency by 11.8-32.5% and p99 latency by up to 42.8%.

H. Chen, Jin-Nan Guo, Wayne Luk et al. · 0 citations
Jul 2026

Model Guides You How to Draw: Adaptive Visual Gating for Unified Multimodal Reasoning

It is observed that the model's internal signals can indicate whether a visual step will benefit reasoning before the entire visual generation is completed, and AdaViG, a training-free adaptive visual gating method for unified multimodal reasoning, is proposed.

Wen Gao, Guanxi Lu, Di-Di Zhu et al. · 0 citations

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