1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
cs.CL2025
Dingtalk DeepResearch: A Unified Multi Agent Framework for Adaptive Intelligence in Enterprise Environments
Mengyuan Chen, Chengjun Dai, Xinyang Dong +7
We present Dingtalk DeepResearch, a unified multi agent intelligence framework for real world enterprise environments, delivering deep research, heterogeneous table reasoning, and…
cs.SE2024★ 1 cited
Genetic Auto-prompt Learning for Pre-trained Code Intelligence Language Models
Chengzhe Feng, Yanan Sun, Ke Li +3
As Pre-trained Language Models (PLMs), a popular approach for code intelligence, continue to grow in size, the computational cost of their usage has become prohibitively expensive.…