← Search

Jinglong Ji

2 accepted papers

2026

Steering Large Language Models through the DMTA Cycle: Structure-Based Drug Design via Knowledge-Driven Bi-Level Thompson Sampling

ICML 2026poster

Structure-based drug design (SBDD) can be effectively realized through an iterative refinement via the Design-Make-Test-Analyze (DMTA) cycle, which is a common workflow used by human experts. However, most LLMs function as one-shot generators that lack feedback mechanisms, leaving the DMTA loop disc…

Cited by 0SourceScholar
2025

Code-Generated Graph Representations Using Multiple LLM Agents for Material Properties Prediction

ICML 2025poster

Graph neural networks have recently demonstrated remarkable performance in predicting material properties. Crystalline material data is manually encoded into graph representations. Existing methods incorporate different attributes into constructing representations to satisfy the constraints arising…

Cited by 0SourcePDFScholar