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ORCIDJheng-Hong Yang
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2020 – today
- 2024
[c17]Jheng-Hong Yang, Jimmy Lin:
Toward Automatic Relevance Judgment using Vision-Language Models for Image-Text Retrieval Evaluation. LLM4Eval@SIGIR 2024: 113-123- [c16]Ehsan Kamalloo
, Nandan Thakur, Carlos Lassance, Xueguang Ma, Jheng-Hong Yang, Jimmy Lin:
Resources for Brewing BEIR: Reproducible Reference Models and Statistical Analyses. SIGIR 2024: 1431-1440 - [i14]Jheng-Hong Yang, Jimmy Lin:
Toward Automatic Relevance Judgment using Vision-Language Models for Image-Text Retrieval Evaluation. CoRR abs/2408.01363 (2024) - 2023
- [c15]Wei Zhong, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin:
One Blade for One Purpose: Advancing Math Information Retrieval using Hybrid Search. SIGIR 2023: 141-151 - [c14]Jheng-Hong Yang, Carlos Lassance, Rafael Sampaio de Rezende, Krishna Srinivasan, Miriam Redi, Stéphane Clinchant, Jimmy Lin:
AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation. SIGIR 2023: 2975-2984 - [i13]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:
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval. CoRR abs/2304.01019 (2023) - [i12]Jheng-Hong Yang, Carlos Lassance, Rafael Sampaio de Rezende, Krishna Srinivasan, Miriam Redi, Stéphane Clinchant, Jimmy Lin:
AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation. CoRR abs/2304.01961 (2023) - [i11]Ehsan Kamalloo, Nandan Thakur, Carlos Lassance, Xueguang Ma, Jheng-Hong Yang, Jimmy Lin:
Resources for Brewing BEIR: Reproducible Reference Models and an Official Leaderboard. CoRR abs/2306.07471 (2023) - 2022
- [c13]Wei Zhong, Jheng-Hong Yang, Yuqing Xie, Jimmy Lin:
Evaluating Token-Level and Passage-Level Dense Retrieval Models for Math Information Retrieval. EMNLP (Findings) 2022: 1092-1102 - [c12]Wei-Lun Luo, Yu-Ming Lu, Jheng-Hong Yang, Jin-Chuan Duan, Chuan-Ju Wang:
Multiperiod Corporate Default Prediction Through Neural Parametric Family Learning. SDM 2022: 316-324 - [c11]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:
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval. TREC 2022 - [i10]Wei Zhong, Jheng-Hong Yang, Jimmy Lin:
Evaluating Token-Level and Passage-Level Dense Retrieval Models for Math Information Retrieval. CoRR abs/2203.11163 (2022) - 2021
- [j1]Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting. ACM Trans. Inf. Syst. 39(4): 48:1-48:29 (2021) - [c10]Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin:
Contextualized Query Embeddings for Conversational Search. EMNLP (1) 2021: 1004-1015 - [c9]Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin:
In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval. RepL4NLP@ACL-IJCNLP 2021: 163-173 - [c8]Sebastian Hofstätter, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin, Allan Hanbury:
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling. SIGIR 2021: 113-122 - [c7]Jia-Huei Ju, Jheng-Hong Yang, Chuan-Ju Wang:
Text-to-Text Multi-view Learning for Passage Re-ranking. SIGIR 2021: 1803-1807 - [c6]Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Frassetto Nogueira:
Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations. SIGIR 2021: 2356-2362 - [c5]Edwin Zhang, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Frassetto Nogueira, Jimmy Lin:
Chatty Goose: A Python Framework for Conversational Search. SIGIR 2021: 2521-2525 - [i9]Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Frassetto Nogueira:
Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations. CoRR abs/2102.10073 (2021) - [i8]Sebastian Hofstätter, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin, Allan Hanbury:
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling. CoRR abs/2104.06967 (2021) - [i7]Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin:
Contextualized Query Embeddings for Conversational Search. CoRR abs/2104.08707 (2021) - [i6]Jia-Huei Ju, Jheng-Hong Yang, Chuan-Ju Wang:
Text-to-Text Multi-view Learning for Passage Re-ranking. CoRR abs/2104.14133 (2021) - [i5]Jheng-Hong Yang, Xueguang Ma, Jimmy Lin:
Sparsifying Sparse Representations for Passage Retrieval by Top-k Masking. CoRR abs/2112.09628 (2021) - 2020
- [c4]Jheng-Hong Yang, Sheng-Chieh Lin, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models. COLING 2020: 3449-3453 - [c3]Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin:
TREC 2020 Notebook: CAsT Track. TREC 2020 - [i4]Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
TTTTTackling WinoGrande Schemas. CoRR abs/2003.08380 (2020) - [i3]Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models. CoRR abs/2004.01909 (2020) - [i2]Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
Query Reformulation using Query History for Passage Retrieval in Conversational Search. CoRR abs/2005.02230 (2020) - [i1]Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin:
Distilling Dense Representations for Ranking using Tightly-Coupled Teachers. CoRR abs/2010.11386 (2020)
2010 – 2019
- 2019
- [c2]Jheng-Hong Yang, Sheng-Chieh Lin, Chuan-Ju Wang, Jimmy Lin, Ming-Feng Tsai:
Query and Answer Expansion from Conversation History. TREC 2019 - 2018
- [c1]Jheng-Hong Yang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai:
HOP-rec: high-order proximity for implicit recommendation. RecSys 2018: 140-144
Coauthor Index
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last updated on 2024-10-17 21:34 CEST by the dblp team
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