Chiwei Zhu

According to our database, Chiwei Zhu authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces.

Mingxuan Du, Benfeng Xu, Chiwei Zhu, Shaohan Wang, Pengyu Wang, Xiaorui Wang, Zhendong Mao

CoRR, February, 2026

WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora.

Pengyu Wang, Benfeng Xu, Licheng Zhang, Shaohan Wang, Mingxuan Du, Chiwei Zhu, Zhendong Mao

CoRR, February, 2026

Wiki Live Challenge: Challenging Deep Research Agents with Expert-Level Wikipedia Articles.

Shaohan Wang, Benfeng Xu, Licheng Zhang, Mingxuan Du, Chiwei Zhu, Xiaorui Wang, Zhendong Mao, Yongdong Zhang

CoRR, February, 2026

DeepResearch Bench II: Diagnosing Deep Research Agents via Rubrics from Expert Report.

Ruizhe Li, Mingxuan Du, Benfeng Xu, Chiwei Zhu, Xiaorui Wang, Zhendong Mao

CoRR, January, 2026

SearchAttack: Red-Teaming LLMs against Real-World Threats via Framing Unsafe Web Information-Seeking Tasks.

Yu Yan, Sheng Sun, Mingfeng Li, Zheming Yang, Chiwei Zhu, Fei Ma, Benfeng Xu, Min Liu

CoRR, January, 2026

FS-Researcher: Test-Time Scaling for Long-Horizon Research Tasks with File-System-Based Agents.

Chiwei Zhu, Benfeng Xu, Mingxuan Du, Shaohan Wang, Xiaorui Wang, Zhendong Mao, Yongdong Zhang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools.

Zikang Guo, Benfeng Xu, Chiwei Zhu, Wentao Hong, Xiaorui Wang, Zhendong Mao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents.

Mingxuan Du, Benfeng Xu, Chiwei Zhu, Xiaorui Wang, Zhendong Mao

CoRR, June, 2025

PromptMetric: Prompt Recipe as an Automatic Metric for Evaluating Open-domain Question Answering Systems.

Pengzhe Wang, Xin Zeng, Chiwei Zhu, Benfeng Xu, Zhendong Mao, Yong-Dong Zhang

Proceedings of the International Joint Conference on Neural Networks, 2025

Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach.

Ruizhe Li, Chiwei Zhu, Benfeng Xu, Xiaorui Wang, Zhendong Mao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability.

Chiwei Zhu, Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Zhendong Mao

Proceedings of the Findings of the Association for Computational Linguistics, 2025

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding.

Chiwei Zhu, Benfeng Xu, Xiaorui Wang, Zhendong Mao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction.

Jianshang Kou, Benfeng Xu, Chiwei Zhu, Zhendong Mao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

On the Calibration of Large Language Models and Alignment.

Chiwei Zhu, Benfeng Xu, Quan Wang, Yongdong Zhang, Zhendong Mao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Grammatical Error Correction via Mixed-Grained Weighted Training.

Jiahao Li, Quan Wang, Chiwei Zhu, Zhendong Mao, Yongdong Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023