activity
20242026
most citedGenetic Auto-prompt Learning for Pre-trained Code Intelligence Language Models

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing cs.AIShow all

1 paper · 1 filter

cs.AI2026

Opti-Agent-Bench: Benchmarking End-to-End Optimization R&D Agents on Real-World Business Problems

Yongchang Fu, Xinjie Huang, Chengjun Dai +3

LLM-based agents are increasingly deployed to solve optimization problems, yet existing benchmarks evaluate them on pre-structured mathematical formulations that bypass the most cr…