Benfeng Xu - RankMe

45 papers A* 8B 1Misc 1Journal 25Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces. CoRR Mingxuan Du, Benfeng Xu, Chiwei Zhu, Shaohan Wang, Pengyu Wang, Xiaorui Wang, Zhendong Mao
2026	J	`jnl`	DeepResearch Bench II: Diagnosing Deep Research Agents via Rubrics from Expert Report. CoRR Ruizhe Li, Mingxuan Du, Benfeng Xu, Chiwei Zhu, Xiaorui Wang, Zhendong Mao
2026	J	`jnl`	FS-Researcher: Test-Time Scaling for Long-Horizon Research Tasks with File-System-Based Agents. CoRR Chiwei Zhu, Benfeng Xu, Mingxuan Du, Shaohan Wang, Xiaorui Wang, Zhendong Mao, Yongdong Zhang
2026	A*	`conf`	MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools. AAAI Zikang Guo, Benfeng Xu, Chiwei Zhu, Wentao Hong, Xiaorui Wang, Zhendong Mao
2026	J	`jnl`	SearchAttack: Red-Teaming LLMs against Real-World Threats via Framing Unsafe Web Information-Seeking Tasks. CoRR Yu Yan, Sheng Sun, Mingfeng Li, Zheming Yang, Chiwei Zhu, Fei Ma, Benfeng Xu, Min Liu
2026	J	`jnl`	Wiki Live Challenge: Challenging Deep Research Agents with Expert-Level Wikipedia Articles. CoRR Shaohan Wang, Benfeng Xu, Licheng Zhang, Mingxuan Du, Chiwei Zhu, Xiaorui Wang, Zhendong Mao, Yongdong Zhang
2026	J	`jnl`	WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora. CoRR Pengyu Wang, Benfeng Xu, Licheng Zhang, Shaohan Wang, Mingxuan Du, Chiwei Zhu, Zhendong Mao
2025	J	`jnl`	An Index-based Approach for Efficient and Effective Web Content Extraction. CoRR Yihan Chen, Benfeng Xu, Xiaorui Wang, Zhendong Mao
2025	—	`conf`	Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach. EMNLP (Findings) Ruizhe Li, Chiwei Zhu, Benfeng Xu, Xiaorui Wang, Zhendong Mao
2025	J	`jnl`	Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach. CoRR Ruizhe Li, Chiwei Zhu, Benfeng Xu, Xiaorui Wang, Zhendong Mao
2025	—	`conf`	CMI-AIGCX at GenAI Detection Task 2: Leveraging Multilingual Proxy LLMs for Machine-Generated Text Detection in Academic Essays. COLING Workshops Kaijie Jiao, Xingyu Yao, Shixuan Ma, Sifan Fang, Zikang Guo, Benfeng Xu, Licheng Zhang, Quan Wang, Yongdong Zhang, Zhendong Mao
2025	J	`jnl`	DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents. CoRR Mingxuan Du, Benfeng Xu, Chiwei Zhu, Xiaorui Wang, Zhendong Mao
2025	—	`conf`	From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding. ACL (1) Chiwei Zhu, Benfeng Xu, Xiaorui Wang, Zhendong Mao
2025	J	`jnl`	From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding. CoRR Chiwei Zhu, Benfeng Xu, Xiaorui Wang, Zhendong Mao
2025	J	`jnl`	MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools. CoRR Zikang Guo, Benfeng Xu, Chiwei Zhu, Wentao Hong, Xiaorui Wang, Zhendong Mao
2025	A*	`conf`	MIRROR: Multi-agent Intra- and Inter-Reflection for Optimized Reasoning in Tool Learning. IJCAI Zikang Guo, Benfeng Xu, Xiaorui Wang, Zhendong Mao
2025	J	`jnl`	MIRROR: Multi-agent Intra- and Inter-Reflection for Optimized Reasoning in Tool Learning. CoRR Zikang Guo, Benfeng Xu, Xiaorui Wang, Zhendong Mao
2025	B	`conf`	PromptMetric: Prompt Recipe as an Automatic Metric for Evaluating Open-domain Question Answering Systems. IJCNN Pengzhe Wang, Xin Zeng, Chiwei Zhu, Benfeng Xu, Zhendong Mao, Yong-Dong Zhang
2025	—	`conf`	Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability. ACL (Findings) Chiwei Zhu, Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Zhendong Mao
2025	J	`jnl`	Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability. CoRR Chiwei Zhu, Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Zhendong Mao
2025	J	`jnl`	Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking. CoRR Yihan Chen, Benfeng Xu, Xiaorui Wang, Yongdong Zhang, Zhendong Mao
2024	A*	`conf`	Benchmarking Large Language Models on Controllable Generation under Diversified Instructions. AAAI Yihan Chen, Benfeng Xu, Quan Wang, Yi Liu, Zhendong Mao
2024	J	`jnl`	Benchmarking Large Language Models on Controllable Generation under Diversified Instructions. CoRR Yihan Chen, Benfeng Xu, Quan Wang, Yi Liu, Zhendong Mao
2024	J	`jnl`	Curriculum Learning Driven Domain Adaptation for Low-Resource Machine Reading Comprehension. IEEE Signal Process. Lett. Licheng Zhang, Quan Wang, Benfeng Xu, Yi Liu, Zhendong Mao
2024	—	`conf`	Disentangled Learning with Synthetic Parallel Data for Text Style Transfer. ACL (1) Jingxuan Han, Quan Wang, Zikang Guo, Benfeng Xu, Licheng Zhang, Zhendong Mao
2024	A*	`conf`	KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction. EMNLP Jianshang Kou, Benfeng Xu, Chiwei Zhu, Zhendong Mao
2024	—	`conf`	USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings. SemEval@NAACL Zikang Guo, Kaijie Jiao, Xingyu Yao, Yuning Wan, Haoran Li, Benfeng Xu, Licheng Zhang, Quan Wang, Yongdong Zhang, Zhendong Mao
2023	A*	`conf`	$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference. ICLR Benfeng Xu, Quan Wang, Zhendong Mao, Yajuan Lyu, Qiaoqiao She, Yongdong Zhang
2023	J	`jnl`	ExpertPrompting: Instructing Large Language Models to be Distinguished Experts. CoRR Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Yongdong Zhang, Zhendong Mao
2023	Misc	`conf`	Modaldrop: Modality-Aware Regularization for Temporal-Spectral Fusion in Human Activity Recognition. ICASSP Xin Zeng, Yiqiang Chen, Benfeng Xu, Tengxiang Zhang
2023	—	`conf`	On the Calibration of Large Language Models and Alignment. EMNLP (Findings) Chiwei Zhu, Benfeng Xu, Quan Wang, Yongdong Zhang, Zhendong Mao
2023	J	`jnl`	On the Calibration of Large Language Models and Alignment. CoRR Chiwei Zhu, Benfeng Xu, Quan Wang, Yongdong Zhang, Zhendong Mao
2023	J	`jnl`	Qwen Technical Report. CoRR Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu, Keming Lu, Jianxin Ma, Rui Men, Xingzhang Ren, Xuancheng Ren, Chuanqi Tan, Sinan Tan, Jianhong Tu, Peng Wang, Shijie Wang, Wei Wang, Shengguang Wu, Benfeng Xu, Jin Xu, An Yang, Hao Yang, Jian Yang, Shusheng Yang, Yang Yao, Bowen Yu, Hongyi Yuan, Zheng Yuan, Jianwei Zhang, Xingxuan Zhang, Yichang Zhang, Zhenru Zhang, Chang Zhou, Jingren Zhou, Xiaohuan Zhou, Tianhang Zhu
2023	—	`conf`	Retrieval-Augmented Domain Adaptation of Language Models. RepL4NLP@ACL Benfeng Xu, Chunxu Zhao, Wenbin Jiang, Pengfei Zhu, Songtai Dai, Chao Pang, Zhuo Sun, Shuohuan Wang, Yu Sun
2023	—	`conf`	S2ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction. ACL (1) Benfeng Xu, Quan Wang, Yajuan Lyu, Dai Dai, Yongdong Zhang, Zhendong Mao
2023	J	`jnl`	Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning. CoRR Shengguang Wu, Keming Lu, Benfeng Xu, Junyang Lin, Qi Su, Chang Zhou
2023	J	`jnl`	kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference. CoRR Benfeng Xu, Quan Wang, Zhendong Mao, Yajuan Lyu, Qiaoqiao She, Yongdong Zhang
2022	—	`conf`	EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction. NAACL-HLT Benfeng Xu, Quan Wang, Yajuan Lyu, Yabing Shi, Yong Zhu, Jie Gao, Zhendong Mao
2022	A*	`conf`	UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction. EMNLP Wei Tang, Benfeng Xu, Yuyue Zhao, Zhendong Mao, Yifeng Liu, Yong Liao, Haiyong Xie
2022	J	`jnl`	UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction. CoRR Wei Tang, Benfeng Xu, Yuyue Zhao, Zhendong Mao, Yifeng Liu, Yong Liao, Haiyong Xie
2021	J	`jnl`	Building Chinese Biomedical Language Models via Multi-Level Text Discrimination. CoRR Quan Wang, Songtai Dai, Benfeng Xu, Yajuan Lyu, Yong Zhu, Hua Wu, Haifeng Wang
2021	A*	`conf`	Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction. AAAI Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, Zhendong Mao
2021	J	`jnl`	Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction. CoRR Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, Zhendong Mao
2021	J	`jnl`	Review and Arrange: Curriculum Learning for Natural Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. Licheng Zhang, Zhendong Mao, Benfeng Xu, Quan Wang, Yongdong Zhang
2020	A*	`conf`	Curriculum Learning for Natural Language Understanding. ACL Benfeng Xu, Licheng Zhang, Zhendong Mao, Quan Wang, Hongtao Xie, Yongdong Zhang

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.