{"username":"panmingh","header":{"name":"Minghui Pan"},"personalInfo":{"email":"panmingh@outlook.com"},"experience":[{"company":"ACL 2026","role":"Co-First Author - Accepted, Findings","startDate":"2025.09","endDate":"2026.01","bullets":["Proposed a streaming hallucination detector for long chain-of-thought (CoT) reasoning in large reasoning models (LRMs), enabling online identification of both step-level hallucinations and cumulative hallucination states","Introduced relative-position-aware gating to improve late-stage CoT hallucination detection under long-context accumulation"]},{"company":"ACL 2026 Industry Track","role":"Co-First Author","startDate":"2025.12","endDate":"2026.02","bullets":["Developed One-Eval, an agentic LLM evaluation system under PKU DCAI Lab's DataFlow project","Converted natural-language requests into executable evaluation workflows via NL2Bench, BenchResolve, and task-aware metric reporting with human-in-the-loop checkpoints","Open-source repository has gained 100+ GitHub stars"]},{"company":"CVPR 2026","role":"Fourth Author","startDate":"2025.07","endDate":"2025.11","bullets":["Studied hallucination in multimodal large reasoning models (MLRMs) by analyzing staged functional specialization of attention heads, identifying perceptual bias and reasoning drift","Verified core early-stage experiments and produced all figures and visualizations","Evaluated a lightweight, model-agnostic plugin based on functional head identification and class-conditioned rescaling"]},{"company":"ICASSP 2026","role":"Fourth Author","startDate":"2025.07","endDate":"2025.09","bullets":["Proposed CorrEctor, an execute-to-correct paradigm for efficient and secure LLM inference","Offloads privacy-obfuscated inputs to untrusted GPUs with parallel verification and correction in trusted environments","Achieves 1.36x-3.55x speedup over CPU-based TEE baselines with accuracy comparable to plaintext inference"]},{"company":"IIE, CAS","role":"Research Assistant","startDate":"2025.07","endDate":"2025.09","bullets":["Assisted in the design and implementation of experiments for secure and efficient LLM inference research","Contributed to the full experimental pipeline and evaluation"]}],"education":[],"projectsRecent":[],"projectsDetailed":[],"skills":[{"name":"Achievements & Awards","items":["National First Prize - Chinese Mathematics Competitions (CMC)","First Prize (Beijing) - National College Students Engineering Innovation Competition","National Merit Award - National College Students Engineering Robot Competition","Third Prize (Beijing) - Challenge Cup, Beijing Regional Contest"]}],"contact":[],"meta":{"updatedAt":"2026-05-03T05:16:42.364Z"}}