Sihang Jiang

According to our database, Sihang Jiang authored at least 54 papers between 2019 and 2026.

Collaborative distances:

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

2026

GenericAgent: A Token-Efficient Self-Evolving LLM Agent via Contextual Information Density Maximization (V1.0).

Jiaqing Liang, Jinyi Han, Weijia Li, Xinyi Wang, Zhoujia Zhang, Zishang Jiang, Ying Liao, Tingyun Li, Ying Huang, Hao Shen, Hanyu Wu, Fang Guo, Keyi Wang, Zhonghua Hong, Zhiyu Lu, Lipeng Ma, Sihang Jiang, Yanghua Xiao

CoRR, April, 2026

SEA-Eval: A Benchmark for Evaluating Self-Evolving Agents Beyond Episodic Assessment.

Sihang Jiang, Lipeng Ma, Zhonghua Hong, Keyi Wang, Zhiyu Lu, Shisong Chen, Jinghao Zhang, Tianjun Pan, Weijia Zhou, Jiaqing Liang, Yanghua Xiao

CoRR, April, 2026

LogInstruct: Knowledge-Driven Instruction Synthesis for Enhancing LLM-Based Log Analysis.

Lipeng Ma, Yixuan Li, Weidong Yang, Mingjie Zhou, Mingyu Zhao, Ben Fei, Shuhao Li, Sihang Jiang, Yanghua Xiao

IEEE Trans. Serv. Comput., 2026

Adaptive Hallucination Alleviation in Multimodal Large Language Models: From Strategic Data Selection to Severity-Guided Training.

Yuanyi Xu, Xiangru Zhu, Sihang Jiang, Zhixu Li, Bei Yang, Xiaoxiao Xu, Yanghua Xiao, Wei Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

ComLQ: Benchmarking Complex Logical Queries in Information Retrieval.

Ganlin Xu, Zhitao Yin, Linghao Zhang, Jiaqing Liang, Weijia Lu, Xiaodong Zhang, Zhifei Yang, Sihang Jiang, Deqing Yang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

MMIFEvol: Towards Evolutionary Multimodal Instruction Following.

Haoyu Wang, Sihang Jiang, Xiangru Zhu, Yuyan Chen, Xiaojun Meng, Jiansheng Wei, Yitong Wang, Yanghua Xiao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Difficulty Is Not Enough: Curriculum Learning for LLMs Fine-tuning Must Consider Utility.

Zishang Jiang, Jinyi Han, Tingyun Li, Xinyi Wang, Sihang Jiang, Xiaojun Meng, Jiansheng Wei, Jiaqing Liang, Yanghua Xiao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Measuring the Unmeasurable: Unveiling Latent Cognitive Capabilities of LLM.

Cui Danxin, Sihang Jiang, Keyi Wang, Zhiyi Duan, Yanghua Xiao, Bi Yude, Jiaqing Liang, Minggui He, Shimin Tao, Yilun Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Do Large Language Models Truly Understand Cross-cultural Differences?

Shiwei Guo, Sihang Jiang, Qianxi He, Yanghua Xiao, Jiaqing Liang, Bi Yude, Minggui He, Shimin Tao, Li Zhang

CoRR, December, 2025

LUK: Empowering Log Understanding With Expert Knowledge From Large Language Models.

Lipeng Ma, Weidong Yang, Sihang Jiang, Ben Fei, Mingjie Zhou, Shuhao Li, Mingyu Zhao, Bo Xu, Yanghua Xiao

IEEE Trans. Software Eng., October, 2025

Why Did Apple Fall To The Ground: Evaluating Curiosity In Large Language Model.

Haoyu Wang, Sihang Jiang, Yuyan Chen, Yitong Wang, Yanghua Xiao

CoRR, October, 2025

HINT: Helping Ineffective Rollouts Navigate Towards Effectiveness.

Xinyi Wang, Jinyi Han, Zishang Jiang, Tingyun Li, Jiaqing Liang, Sihang Jiang, Zhaoqian Dai, Shuguang Ma, Fei Yu, Yanghua Xiao

CoRR, October, 2025

Selective Expert Guidance for Effective and Diverse Exploration in Reinforcement Learning of LLMs.

Zishang Jiang, Jinyi Han, Tingyun Li, Xinyi Wang, Sihang Jiang, Jiaqing Liang, Zhaoqian Dai, Shuguang Ma, Fei Yu, Yanghua Xiao

CoRR, October, 2025

Your Models Have Thought Enough: Training Large Reasoning Models to Stop Overthinking.

Jinyi Han, Ying Huang, Ying Liao, Zishang Jiang, Xikun Lu, Haiquan Zhao, Xinyi Wang, Guanghao Zhou, Sihang Jiang, Jiaqing Liang, Weikang Zhou, Zeye Sun, Fei Yu, Yanghua Xiao

CoRR, September, 2025

LogReasoner: Empowering LLMs with Expert-like Coarse-to-Fine Reasoning for Automated Log Analysis.

Lipeng Ma, Yixuan Li, Weidong Yang, Mingjie Zhou, Xinyi Liu, Ben Fei, Shuhao Li, Xiaoyan Sun, Sihang Jiang, Yanghua Xiao

CoRR, September, 2025

CultureScope: A Dimensional Lens for Probing Cultural Understanding in LLMs.

Jinghao Zhang, Sihang Jiang, Shiwei Guo, Shisong Chen, Yanghua Xiao, Hongwei Feng, Jiaqing Liang, Minggui He, Shimin Tao, Hongxia Ma

CoRR, September, 2025

A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models.

Jinyi Han, Xinyi Wang, Haiquan Zhao, Tingyun Li, Zishang Jiang, Sihang Jiang, Jiaqing Liang, Xin Lin, Weikang Zhou, Zeye Sun, Fei Yu, Yanghua Xiao

CoRR, August, 2025

AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model.

Lipeng Ma, Weidong Yang, Yixuan Li, Ben Fei, Mingjie Zhou, Shuhao Li, Sihang Jiang, Bo Xu, Yanghua Xiao

CoRR, January, 2025

Hierarchical Prompt Tuning for System-Incremental Log Analysis.

Mingjie Zhou, Weidong Yang, Lipeng Ma, Sihang Jiang, Bo Xu, Yanghua Xiao

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

LogSI: A Benchmark for System-Incremental Log Analysis.

Mingjie Zhou, Weidong Yang, Lipeng Ma, Sihang Jiang, Bo Xu, Yanghua Xiao

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

The Missing Piece in Model Editing: A Deep Dive into the Hidden Damage Brought By Model Editing.

Jianchen Wang, Zhouhong Gu, Xiaoxuan Zhu, Lin Zhang, Haoning Ye, Zhuozhi Xiong, Sihang Jiang, Hongwei Feng, Yanghua Xiao

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

From Remembering to Metacognition: Do Existing Benchmarks Accurately Evaluate LLMs?

Geng Zhang, Yizhou Ying, Sihang Jiang, Jiaqing Liang, Guanglei Yue, Yifei Fu, Hailin Hu, Yanghua Xiao

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

Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs.

Yizhou Ying, Geng Zhang, Cui Danxin, Chengyu Du, Guanglei Yue, Sihang Jiang, Jiaqing Liang, Yifei Fu, Hailin Hu, Yanghua Xiao

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

EDGE: Enhanced Grounded GUI Understanding with Enriched Multi-Granularity Synthetic Data.

Xuetian Chen, Hangcheng Li, Jiaqing Liang, Sihang Jiang, Deqing Yang

CoRR, 2024

LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models.

Lipeng Ma, Weidong Yang, Sihang Jiang, Ben Fei, Mingjie Zhou, Shuhao Li, Bo Xu, Yanghua Xiao

CoRR, 2024

VCEval: Rethinking What is a Good Educational Video and How to Automatically Evaluate It.

Xiaoxuan Zhu, Zhouhong Gu, Sihang Jiang, Zhixu Li, Hongwei Feng, Yanghua Xiao

CoRR, 2024

A crossword solving system based on Monte Carlo tree search.

Jingping Liu, Lihan Chen, Sihang Jiang, Chao Wang, Sheng Zhang, Jiaqing Liang, Yanghua Xiao, Rui Song

Artif. Intell., 2024

KnowLog: Knowledge Enhanced Pre-trained Language Model for Log Understanding.

Lipeng Ma, Weidong Yang, Bo Xu, Sihang Jiang, Ben Fei, Jiaqing Liang, Mingjie Zhou, Yanghua Xiao

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension Perception.

Yuncheng Huang, Qianyu He, Jiaqing Liang, Sihang Jiang, Yanghua Xiao, Yunwen Chen

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Few-Shot Log Analysis with Prompt-Based Multi-task Transfer Learning.

Mingjie Zhou, Weidong Yang, Lipeng Ma, Sihang Jiang, Bo Xu, Yanghua Xiao

Proceedings of the Database Systems for Advanced Applications, 2024

CR-LLM: A Dataset and Optimization for Concept Reasoning of Large Language Models.

Nianqi Li, Jingping Liu, Sihang Jiang, Haiyun Jiang, Yanghua Xiao, Jiaqing Liang, Zujie Liang, Feng Wei, Jinglei Chen, Zhenghong Hao, Bing Han

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding.

Jingping Liu, Mingchuan Zhang, Weichen Li, Chao Wang, Shuang Li, Haiyun Jiang, Sihang Jiang, Yanghua Xiao, Yunwen Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation.

Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, Lin Zhang, Jianchen Wang, Yixin Zhu, Sihang Jiang, Zhuozhi Xiong, Zihan Li, Weijie Wu, Qianyu He, Rui Xu, Wenhao Huang, Jingping Liu, Zili Wang, Shusen Wang, Weiguo Zheng, Hongwei Feng, Yanghua Xiao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Sweet Apple, company? or food? Adjective-centric commonsense knowledge acquisition with taxonomy-guided induction.

Chao Wang, Juntao Liu, Jingping Liu, Sihang Jiang, Zhixu Li, Yanghua Xiao

Knowl. Based Syst., November, 2023

EASC: An exception-aware semantic compression framework for real-world knowledge graphs.

Sihang Jiang, Jianchuan Feng, Chao Wang, Jingping Liu, Zhuozhi Xiong, Chaofeng Sha, Weiguo Zheng, Jiaqing Liang, Yanghua Xiao

Knowl. Based Syst., October, 2023

Uncover the reasons for performance differences between measurement functions (Provably).

Chao Wang, Jianchuan Feng, Linfang Liu, Sihang Jiang, Wei Wang

Appl. Intell., March, 2023

Beyond the Obvious: Evaluating the Reasoning Ability In Real-life Scenarios of Language Models on Life Scapes Reasoning Benchmark~(LSR-Benchmark).

Zhouhong Gu, Zihan Li, Lin Zhang, Zhuozhi Xiong, Sihang Jiang, Xiaoxuan Zhu, Shusen Wang, Zili Wang, Jianchen Wang, Haoning Ye, Wenhao Huang, Yikai Zhang, Hongwei Feng, Yanghua Xiao

CoRR, 2023

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation.

Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, Lin Zhang, Jianchen Wang, Sihang Jiang, Zhuozhi Xiong, Zihan Li, Qianyu He, Rui Xu, Wenhao Huang, Zili Wang, Shusen Wang, Weiguo Zheng, Hongwei Feng, Yanghua Xiao

CoRR, 2023

GANTEE: Generative Adversatial Network for Taxonomy Entering Evaluation.

Zhouhong Gu, Sihang Jiang, Jingping Liu, Yanghua Xiao, Hongwei Feng, Zhixu Li, Jiaqing Liang, Jian Zhong

CoRR, 2023

Sem4SAP: Synonymous Expression Mining From Open Knowledge Graph For Language Model Synonym-Aware Pretraining.

Zhouhong Gu, Sihang Jiang, Wenhao Huang, Jiaqing Liang, Hongwei Feng, Yanghua Xiao

CoRR, 2023

ServerRCA: Root Cause Analysis for Server Failure using Operating System Logs.

Jiahao Shi, Sihang Jiang, Bo Xu, Yanghua Xiao

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

ShellGPT: Generative Pre-trained Transformer Model for Shell Language Understanding.

Jie Shi, Sihang Jiang, Bo Xu, Jiaqing Liang, Yanghua Xiao, Wei Wang

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

A Bayesian Hierarchical Analysis on the Disparity of Emergency Department Visits for COVID-19: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data.

Sihang Jiang, Johanna Loomba, Andrea Zhou, Suchetha Sharma, Saurav Sengupta, Donald E. Brown

Proceedings of the International Conference on Machine Learning and Applications, 2023

GANTEE: Generative Adversarial Network for Taxonomy Enterance Evaluation.

Zhouhong Gu, Sihang Jiang, Jingping Liu, Yanghua Xiao, Hongwei Feng, Zhixu Li, Jiaqing Liang, Jian Zhong

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Entity understanding with hierarchical graph learning for enhanced text classification.

Chao Wang, Haiyun Jiang, Tao Chen, Jingping Liu, Menghui Wang, Sihang Jiang, Zhixu Li, Yanghua Xiao

Knowl. Based Syst., 2022

Rule mining over knowledge graphs via reinforcement learning.

Lihan Chen, Sihang Jiang, Jingping Liu, Chao Wang, Sheng Zhang, Chenhao Xie, Jiaqing Liang, Yanghua Xiao, Rui Song

Knowl. Based Syst., 2022

Utilizing Expert Knowledge and Contextual Information for Sample-Limited Causal Graph Construction.

Xuwu Wang, Xueyao Jiang, Sihang Jiang, Zhixu Li, Yanghua Xiao

Proceedings of the Database Systems for Advanced Applications, 2022

Vital Measurements of Hospitalized COVID-19 Patients as a Predictor of Long COVID: An EHR-based Cohort Study from the RECOVER Program in N3C.

Sihang Jiang, Johanna Loomba, Suchetha Sharma, Donald E. Brown

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Crossword Puzzle Resolution via Monte Carlo Tree Search.

Lihan Chen, Jingping Liu, Sihang Jiang, Chao Wang, Jiaqing Liang, Yanghua Xiao, Sheng Zhang, Rui Song

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021

An energy-efficient and high-PSNR image denoising pre-processor based on optimized non-local means algorithm for real-time FHD video applications.

Sihang Jiang, Bingqiang Liu, Shangcheng Xu, Qian Liu, Chao Wang, Zhaoxia Zheng

Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021

Comparison between Expected and Observed Fisher Information in Interval Estimation.

Sihang Jiang, James C. Spall

Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

2020

Mining Infrequent High-Quality Phrases from Domain-Specific Corpora.

Li Wang, Wei Zhu, Sihang Jiang, Sheng Zhang, Keqiang Wang, Yuan Ni, Guotong Xie, Yanghua Xiao

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Transfer Learning for Sequences via Learning to Collocate.

Wanyun Cui, Guangyu Zheng, Zhiqiang Shen, Sihang Jiang, Wei Wang

Proceedings of the 7th International Conference on Learning Representations, 2019

Towards the Completion of a Domain-Specific Knowledge Base with Emerging Query Terms.

Sihang Jiang, Jiaqing Liang, Yanghua Xiao, Haihong Tang, Hai-Kuan Huang, Jun Tan

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019