Tianyu Wang · 王天予

Multimodal LLM Post-Training · Reinforcement Learning · Retrieval

Software Engineering student focused on multimodal model post-training and reliable evaluation.
Open to research and algorithm internship opportunities.

Selected Work

• AutoConcept — First-author, training-free concept-guided reranking; accepted at PRICAI 2026 (CCF-C).
  arXiv
  Paper
• Multimodal UI Modeling — Post-training and evaluation for UI understanding and interaction models.
• AMEND — Multi-agent, constraint-aware text detoxification through specialized critics and minimal repair.
  Report

Experience

• Ant Group — Multimodal LLM post-training intern; built verl-based training workflows and evaluated UI grounding models.
• R&L Lab, Nanjing University — Integrated 127 algorithms and built a processing pipeline for 70,000 road-scene images.

Background

• Incoming M.Eng. student at Southeast University; B.Eng. candidate at Soochow University, top 6% by GPA.
• Python · C/C++ · PyTorch · verl · SFT · GRPO · VLM · GUI grounding · distributed training
• NOIP National First Prize · CSP 370 · CET-6 659

Learn More Here.