Jheng-Hong Yang

According to our database, Jheng-Hong Yang authored at least 28 papers between 2018 and 2024.

Collaborative distances:

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

2024

Resources for Brewing BEIR: Reproducible Reference Models and Statistical Analyses.

Ehsan Kamalloo, Nandan Thakur, Carlos Lassance, Xueguang Ma, Jheng-Hong Yang, Jimmy Lin

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Toward Automatic Relevance Judgment using Vision-Language Models for Image-Text Retrieval Evaluation.

Jheng-Hong Yang, Jimmy Lin

Proceedings of The First Workshop on Large Language Models for Evaluation in Information Retrieval (LLM4Eval 2024) co-located with 10th International Conference on Online Publishing (SIGIR 2024), 2024

2023

Resources for Brewing BEIR: Reproducible Reference Models and an Official Leaderboard.

Ehsan Kamalloo, Nandan Thakur, Carlos Lassance, Xueguang Ma, Jheng-Hong Yang, Jimmy Lin

CoRR, 2023

TREC2023 AToMiC Overview.

Jheng-Hong Yang, Carlos Lassance, Rafael Sampaio de Rezende, Krishna Srinivasan, Miriam Redi, Stéphane Clinchant, Jimmy Lin

Proceedings of the Thirty-Second Text REtrieval Conference Proceedings (TREC 2023), 2023

TREC 2023 - h2oloo in the Product Search Challenge.

Jheng-Hong Yang, Jimmy Lin

Proceedings of the Thirty-Second Text REtrieval Conference Proceedings (TREC 2023), 2023

One Blade for One Purpose: Advancing Math Information Retrieval using Hybrid Search.

Wei Zhong, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation.

Jheng-Hong Yang, Carlos Lassance, Rafael Sampaio de Rezende, Krishna Srinivasan, Miriam Redi, Stéphane Clinchant, Jimmy Lin

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

Evaluating Token-Level and Passage-Level Dense Retrieval Models for Math Information Retrieval.

Wei Zhong, Jheng-Hong Yang, Jimmy Lin

CoRR, 2022

Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval.

Jimmy Lin, David Alfonso-Hermelo, Vitor Jeronymo, Ehsan Kamalloo, Carlos Lassance, Rodrigo Frassetto Nogueira, Odunayo Ogundepo, Mehdi Rezagholizadeh, Nandan Thakur, Jheng-Hong Yang, Xinyu Zhang

Proceedings of the Thirty-First Text REtrieval Conference, 2022

Multiperiod Corporate Default Prediction Through Neural Parametric Family Learning.

Wei-Lun Luo, Yu-Ming Lu, Jheng-Hong Yang, Jin-Chuan Duan, Chuan-Ju Wang

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Evaluating Token-Level and Passage-Level Dense Retrieval Models for Math Information Retrieval.

Wei Zhong, Jheng-Hong Yang, Yuqing Xie, Jimmy Lin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting.

Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin

ACM Trans. Inf. Syst., 2021

Sparsifying Sparse Representations for Passage Retrieval by Top-k Masking.

Jheng-Hong Yang, Xueguang Ma, Jimmy Lin

CoRR, 2021

Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations.

Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Frassetto Nogueira

CoRR, 2021

Chatty Goose: A Python Framework for Conversational Search.

Edwin Zhang, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Frassetto Nogueira, Jimmy Lin

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations.

Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Frassetto Nogueira

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Text-to-Text Multi-view Learning for Passage Re-ranking.

Jia-Huei Ju, Jheng-Hong Yang, Chuan-Ju Wang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling.

Sebastian Hofstätter, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin, Allan Hanbury

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval.

Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Contextualized Query Embeddings for Conversational Search.

Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Distilling Dense Representations for Ranking using Tightly-Coupled Teachers.

Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin

CoRR, 2020

Query Reformulation using Query History for Passage Retrieval in Conversational Search.

Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin

CoRR, 2020

Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models.

Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin

CoRR, 2020

TTTTTackling WinoGrande Schemas.

Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin

CoRR, 2020

TREC 2020 Notebook: CAsT Track.

Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin

Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models.

Jheng-Hong Yang, Sheng-Chieh Lin, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Query and Answer Expansion from Conversation History.

Jheng-Hong Yang, Sheng-Chieh Lin, Chuan-Ju Wang, Jimmy Lin, Ming-Feng Tsai

Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

2018

HOP-rec: high-order proximity for implicit recommendation.

Jheng-Hong Yang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai

Proceedings of the 12th ACM Conference on Recommender Systems, 2018