2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.AI2026
Matrix as Plan: Structured Logical Reasoning with Feedback-Driven Replanning
Ke Chen, Jiandian Zeng, Zihao Peng +3
As knowledge and semantics on the web grow increasingly complex, enhancing Large Language Models (LLMs)' comprehension and reasoning capabilities has become particularly important.…
cs.SE2025★ 2 cited
A Survey on Code Generation with LLM-based Agents
Yihong Dong, Xue Jiang, Jiaru Qian +4
Code generation agents powered by large language models (LLMs) are revolutionizing the software development paradigm. Distinct from previous code generation techniques, code genera…
cs.CL2025
STEM: Efficient Relative Capability Evaluation of LLMs through Structured Transition Samples
Haiquan Hu, Jiazhi Jiang, Shiyou Xu +2
Evaluating large language models (LLMs) has become increasingly challenging as model capabilities advance rapidly. While recent models often achieve higher scores on standard bench…