Jianhao Chen

16 papers A* 3Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute.
AAAI
Jianhao Chen, Zishuo Xun, Bocheng Zhou, Han Qi, Hangfan Zhang, Qiaosheng Zhang, Yang Chen, Wei Hu, Yuzhong Qu, Shuyue Hu
2026 A* conf
ICL-Router: In-Context Learned Model Representations for LLM Routing.
AAAI
Chenxu Wang, Hao Li, Yiqun Zhang, Linyao Chen, Jianhao Chen, Ping Jian, Qiaosheng Zhang, Shuyue Hu
2026 J jnl
Organizing, Orchestrating, and Benchmarking Agent Skills at Ecosystem Scale.
CoRR
Hao Li, Chunjiang Mu, Jianhao Chen, Siyue Ren, Zhiyao Cui, Yiqun Zhang, Lei Bai, Shuyue Hu
2025 — conf
Beyond GPT-5: Making LLMs Cheaper and Better via Performance-Efficiency Optimized Routing.
DAI
Yiqun Zhang, Hao Li, Jianhao Chen, Hangfan Zhang, Peng Ye, Lei Bai, Shuyue Hu
2025 J jnl
Beyond GPT-5: Making LLMs Cheaper and Better via Performance-Efficiency Optimized Routing.
CoRR
Yiqun Zhang, Hao Li, Jianhao Chen, Hangfan Zhang, Peng Ye, Lei Bai, Shuyue Hu
2025 J jnl
Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute.
CoRR
Jianhao Chen, Zishuo Xun, Bocheng Zhou, Han Qi, Qiaosheng Zhang, Yang Chen, Wei Hu, Yuzhong Qu, Wanli Ouyang, Shuyue Hu
2025 J jnl
ICL-Router: In-Context Learned Model Representations for LLM Routing.
CoRR
Chenxu Wang, Hao Li, Yiqun Zhang, Linyao Chen, Jianhao Chen, Ping Jian, Peng Ye, Qiaosheng Zhang, Shuyue Hu
2025 J jnl
Learning Compact Representations of LLM Abilities via Item Response Theory.
CoRR
Jianhao Chen, Chenxu Wang, Gengrui Zhang, Peng Ye, Lei Bai, Wei Hu, Yuzhong Qu, Shuyue Hu
2024 — conf
Timeline-based Sentence Decomposition with In Context Learning for Temporal Fact Extraction.
ACL (1)
Jianhao Chen, Haoyuan Ouyang, Junyang Ren, Wentao Ding, Wei Hu, Yuzhong Qu
2024 J jnl
Timeline-based Sentence Decomposition with In-Context Learning for Temporal Fact Extraction.
CoRR
Jianhao Chen, Haoyuan Ouyang, Junyang Ren, Wentao Ding, Wei Hu, Yuzhong Qu
2023 J jnl
Conflict Detection for Temporal Knowledge Graphs: A Fast Constraint Mining Algorithm and New Benchmarks.
CoRR
Jianhao Chen, Junyang Ren, Wentao Ding, Haoyuan Ouyang, Wei Hu, Yuzhong Qu
2023 A* conf
PaTeCon: A Pattern-Based Temporal Constraint Mining Method for Conflict Detection on Knowledge Graphs.
AAAI
Jianhao Chen, Junyang Ren, Wentao Ding, Yuzhong Qu
2023 J jnl
PaTeCon: A Pattern-Based Temporal Constraint Mining Method for Conflict Detection on Knowledge Graphs.
CoRR
Jianhao Chen, Junyang Ren, Wentao Ding, Yuzhong Qu
2023 J jnl
Time expression as update operations: Normalizing time expressions via a distantly supervised neural semantic parser.
Knowl. Based Syst.
Wentao Ding, Jianhao Chen, Longfei E, Jinmao Li, Yuzhong Qu
2021 J jnl
Automatic Rule Generation for Time Expression Normalization.
CoRR
Wentao Ding, Jianhao Chen, Jinmao Li, Yuzhong Qu
2021 — conf
Automatic rule generation for time expression normalization.
EMNLP (Findings)
Wentao Ding, Jianhao Chen, Jinmao Li, Yuzhong Qu