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2020 – today
- 2026
[i10]Laura Dietz, Bryan Li, Gabrielle K. Liu, Jia-Huei Ju, Eugene Yang, Dawn J. Lawrie, William Gantt Walden, James Mayfield:
Incorporating Q&A Nuggets into Retrieval-Augmented Generation. CoRR abs/2601.13222 (2026)- [i9]Emmanouil Georgios Lionis, Jia-Huei Ju, Angelos Nalmpantis, Casper Thuis, Sean MacAvaney, Andrew Yates:
To Case or Not to Case: An Empirical Study in Learned Sparse Retrieval. CoRR abs/2601.17500 (2026) - 2025
- [c13]Emmanouil Georgios Lionis
, Jia-Huei Ju:
On the Reproducibility of Learned Sparse Retrieval Adaptations for Long Documents. ECIR (4) 2025: 64-78 - [c12]Jia-Huei Ju, Suzan Verberne, Maarten de Rijke, Andrew Yates:
Controlled Retrieval-augmented Context Evaluation for Long-form RAG. EMNLP (Findings) 2025: 21102-21121 - [c11]Thong Nguyen, Yibin Lei, Jia-Huei Ju, Andrew Yates:
SERVAL: Surprisingly Effective Zero-Shot Visual Document Retrieval Powered by Large Vision and Language Models. EMNLP 2025: 30807-30822 - [c10]Jingfen Qiao, Jia-Huei Ju, Xinyu Ma, Evangelos Kanoulas, Andrew Yates:
Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late Interaction. SIGIR 2025: 3335-3345 - [i8]Emmanouil Georgios Lionis, Jia-Huei Ju:
On the Reproducibility of Learned Sparse Retrieval Adaptations for Long Documents. CoRR abs/2503.23824 (2025) - [i7]Jingfen Qiao, Jia-Huei Ju, Xinyu Ma, Evangelos Kanoulas, Andrew Yates:
Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late Interaction. CoRR abs/2505.07730 (2025) - [i6]Jia-Huei Ju, Suzan Verberne, Maarten de Rijke, Andrew Yates:
Controlled Retrieval-augmented Context Evaluation for Long-form RAG. CoRR abs/2506.20051 (2025) - [i5]Thong Nguyen, Yibin Lei, Jia-Huei Ju, Andrew Yates:
SERVAL: Surprisingly Effective Zero-Shot Visual Document Retrieval Powered by Large Vision and Language Models. CoRR abs/2509.15432 (2025) - [i4]Thong Nguyen, Yibin Lei, Jia-Huei Ju, Eugene Yang, Andrew Yates:
Milco: Learned Sparse Retrieval Across Languages via a Multilingual Connector. CoRR abs/2510.00671 (2025) - [i3]Jia-Huei Ju, Eugene Yang, Trevor Adriaanse, Andrew Yates:
Augmenting Researchy Questions with Sub-question Judgments. CoRR abs/2510.21733 (2025) - 2024
- [c9]Jia-Huei Ju, Andrew Yates:
IRLab-AMS at TREC'24 NeuCLIR Track. TREC 2024 - 2023
- [c8]Jia-Huei Ju, Yu-Shiang Huang, Cheng-Wei Lin, Che Lin, Chuan-Ju Wang:
A Compare-and-contrast Multistage Pipeline for Uncovering Financial Signals in Financial Reports. ACL (1) 2023: 14307-14321 - [c7]Ta-Wei Huang, Jia-Huei Ju, Yu-Shiang Huang, Cheng-Wei Lin, Yi-Shyuan Chiang, Chuan-Ju Wang:
FISH: A Financial Interactive System for Signal Highlighting. EACL (System Demonstrations) 2023: 50-56 - [c6]Jia-Huei Ju, Sheng-Chieh Lin, Ming-Feng Tsai, Chuan-Ju Wang:
Improving Conversational Passage Re-ranking with View Ensemble. SIGIR 2023: 2077-2081 - [c5]Jia-Huei Ju, Chung-Kang Lo, Yao-Cheng Lu, Kuan-Lin Lai, Cheng-Wei Huang, Wei-Hsin Chiu, Ming-Feng Tsai, Chuan-Ju Wang:
CFDA & CLIP Labs at TREC'23 Product Search Track. TREC 2023 - [i2]Jia-Huei Ju, Sheng-Chieh Lin, Ming-Feng Tsai, Chuan-Ju Wang:
Improving Conversational Passage Re-ranking with View Ensemble. CoRR abs/2304.13290 (2023) - 2022
- [c4]Jia-Huei Ju, Wei-Chih Chen, Heng-Ta Chang, Cheng-Wei Lin, Ming-Feng Tsai, Chuan-Ju Wang:
CFDA & CLIP at TREC 2022 NeuCLIR Track. TREC 2022 - [c3]Jia-Huei Ju, Sheng-Chieh Lin, Li-Young Chang, Ming-Feng Tsai, Chuan-Ju Wang:
CFDA & CLIP at TREC 2022 Conversational Assistance Track (CAsT). TREC 2022 - 2021
- [c2]Jia-Huei Ju, Jheng-Hong Yang, Chuan-Ju Wang:
Text-to-Text Multi-view Learning for Passage Re-ranking. SIGIR 2021: 1803-1807 - [c1]Jia-Huei Ju, Chih-Ting Yeh, Cheng-Wei Lin, Chia-Ying Tsao, Jun-En Ding, Chuan-Ju Wang, Ming-Feng Tsai:
An Exploration Study of Multi-stage Conversational Passage Retrieval: Paraphrase Query Expansion and Multi-view Point-wise Ranking. TREC 2021 - [i1]Jia-Huei Ju, Jheng-Hong Yang, Chuan-Ju Wang:
Text-to-Text Multi-view Learning for Passage Re-ranking. CoRR abs/2104.14133 (2021)
Coauthor Index
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