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ORCIDGuochao Jiang
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2020 – today
- 2026
[c10]Chuzhan Hao, Wenfeng Feng, Guochao Jiang, Guofeng Quan, Guohua Liu, Yuewei Zhang:
Beyond Stochastic Exploration: What Makes Training Data Valuable for Agentic Search. ACL (Findings) 2026: 3241-3255- [c9]Wenfeng Feng, Penghong Zhao, Guochao Jiang, Chuzhan Hao, Guohua Liu, Yuewei Zhang:
PVPO: Pre-Estimated Value-Based Policy Optimization for Agentic Reasoning. ACL (Findings) 2026: 3729-3748 - [c8]Haiyang Xiao, Weiqing Li, Jinyue Guo, Guochao Jiang, Guohua Liu, Yuewei Zhang:
FAQ: Mitigating Quantization Error via Regenerating Calibration Data with Family-Aware Quantization. ACL (Findings) 2026: 21441-21460 - [i17]Haiyang Xiao, Weiqing Li, Jinyue Guo, Guochao Jiang, Guohua Liu, Yuewei Zhang:
FAQ: Mitigating Quantization Error via Regenerating Calibration Data with Family-Aware Quantization. CoRR abs/2601.11200 (2026) - [i16]Chuzhan Hao, Wenfeng Feng, Guochao Jiang, Guofeng Quan, Guohua Liu, Yuewei Zhang:
Beyond Stochastic Exploration: What Makes Training Data Valuable for Agentic Search. CoRR abs/2604.08124 (2026) - [i15]Guochao Jiang, Jingyi Song, Guofeng Quan, Chuzhan Hao, Guohua Liu, Yuewei Zhang:
DVAO: Dynamic Variance-adaptive Advantage Optimization for Multi-reward Reinforcement Learning. CoRR abs/2605.25604 (2026) - 2025
- [c7]Guofeng Quan, Wenfeng Feng, Chuzhan Hao
, Guochao Jiang, Yuewei Zhang, Hao Henry Wang:
RASD: Retrieval-Augmented Speculative Decoding. ACL (Findings) 2025: 6167-6177 - [c6]Guochao Jiang, Ziqin Luo, Chengwei Hu, Zepeng Ding, Deqing Yang:
Mitigating Out-of-Entity Errors in Named Entity Recognition: A Sentence-Level Strategy. COLING 2025: 7754-7765 - [c5]Wenfeng Feng, Chuzhan Hao, Yuewei Zhang, Guochao Jiang, Jingyi Song:
AirRAG: Autonomous Strategic Planning and Reasoning Steer Retrieval Augmented Generation. EMNLP (Findings) 2025: 18934-18953 - [c4]Ziqin Luo, Jinyi Han, Haokun Zhao, Dixuan Wang, Guochao Jiang, Jiaqing Liang, Deqing Yang:
DEval: Enhancing Large Language Models' Decoding with Evaluation for Better Generation. IJCNN 2025: 1-9 - [i14]Guofeng Quan, Wenfeng Feng, Chuzhan Hao, Guochao Jiang, Yuewei Zhang, Hao Wang:
RASD: Retrieval-Augmented Speculative Decoding. CoRR abs/2503.03434 (2025) - [i13]Weiqing Li, Guochao Jiang, Xiangyong Ding, Zhangcheng Tao, Chuzhan Hao, Chenfeng Xu, Yuewei Zhang, Hao Wang:
FlowKV: A Disaggregated Inference Framework with Low-Latency KV Cache Transfer and Load-Aware Scheduling. CoRR abs/2504.03775 (2025) - [i12]Zepeng Ding, Dixuan Wang, Ziqin Luo, Guochao Jiang, Deqing Yang, Jiaqing Liang:
RLAP: A Reinforcement Learning Enhanced Adaptive Planning Framework for Multi-step NLP Task Solving. CoRR abs/2505.11893 (2025) - [i11]Guochao Jiang, Guofeng Quan, Zepeng Ding, Ziqin Luo, Dixuan Wang, Zheng Hu:
FlashThink: An Early Exit Method For Efficient Reasoning. CoRR abs/2505.13949 (2025) - [i10]Wenfeng Feng, Penghong Zhao, Guochao Jiang, Chuzhan Hao, Yuewei Zhang, Hao Wang:
PVPO: Pre-Estimated Value-Based Policy Optimization for Agentic Reasoning. CoRR abs/2508.21104 (2025) - [i9]Guochao Jiang, Wenfeng Feng, Guofeng Quan, Chuzhan Hao, Yuewei Zhang, Guohua Liu, Hao Wang:
VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models. CoRR abs/2509.19803 (2025) - 2024
- [c3]Yuchen Shi, Guochao Jiang, Tian Qiu, Deqing Yang:
AgentRE: An Agent-Based Framework for Navigating Complex Information Landscapes in Relation Extraction. CIKM 2024: 2045-2055 - [c2]Guochao Jiang, Ziqin Luo, Yuchen Shi, Dixuan Wang, Jiaqing Liang, Deqing Yang:
ToNER: Type-oriented Named Entity Recognition with Generative Language Model. LREC/COLING 2024: 16251-16262 - [c1]Yanda Li, Dixuan Wang, Jiaqing Liang, Guochao Jiang, Qianyu He, Yanghua Xiao, Deqing Yang:
Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding. NAACL-HLT (Findings) 2024: 3053-3066 - [i8]Yanda Li, Dixuan Wang, Jiaqing Liang, Guochao Jiang, Qianyu He, Yanghua Xiao, Deqing Yang:
Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding. CoRR abs/2404.04293 (2024) - [i7]Guochao Jiang, Ziqin Luo, Yuchen Shi, Dixuan Wang, Jiaqing Liang, Deqing Yang:
ToNER: Type-oriented Named Entity Recognition with Generative Language Model. CoRR abs/2404.09145 (2024) - [i6]Guochao Jiang, Zepeng Ding, Yuchen Shi, Deqing Yang:
P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language Models. CoRR abs/2405.04960 (2024) - [i5]Ziqin Luo, Haixia Han, Haokun Zhao, Guochao Jiang, Chengyu Du, Tingyun Li, Jiaqing Liang, Deqing Yang, Yanghua Xiao:
SED: Self-Evaluation Decoding Enhances Large Language Models for Better Generation. CoRR abs/2405.16552 (2024) - [i4]Dixuan Wang, Yanda Li, Junyuan Jiang, Zepeng Ding, Guochao Jiang, Jiaqing Liang, Deqing Yang:
Tokenization Matters! Degrading Large Language Models through Challenging Their Tokenization. CoRR abs/2405.17067 (2024) - [i3]Zepeng Ding, Ruiyang Ke, Wenhao Huang, Guochao Jiang, Yanda Li, Deqing Yang, Yanghua Xiao, Jiaqing Liang:
Adaptive Reinforcement Learning Planning: Harnessing Large Language Models for Complex Information Extraction. CoRR abs/2406.11455 (2024) - [i2]Yuchen Shi, Guochao Jiang, Tian Qiu, Deqing Yang:
AgentRE: An Agent-Based Framework for Navigating Complex Information Landscapes in Relation Extraction. CoRR abs/2409.01854 (2024) - [i1]Guochao Jiang, Ziqin Luo, Chengwei Hu, Zepeng Ding, Deqing Yang:
Mitigating Out-of-Entity Errors in Named Entity Recognition: A Sentence-Level Strategy. CoRR abs/2412.08434 (2024)
Coauthor Index
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