Where Does the Performance Improvement Come From? -- A Reproducibility
Concern about Image-Text Retrieval

v1v2v3 (latest)

Where Does the Performance Improvement Come From? -- A Reproducibility Concern about Image-Text Retrieval

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022

8 March 2022

Liang Ding

Yibing Zhan

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Papers citing "Where Does the Performance Improvement Come From? -- A Reproducibility Concern about Image-Text Retrieval"

15 / 15 papers shown

Title
Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation Fei Wang Li Shen Liang Ding Chao Xue Ye Liu Changxing Ding 84 0 0 17 Oct 2025
SQUARE: Semantic Query-Augmented Fusion and Efficient Batch Reranking for Training-free Zero-Shot Composed Image Retrieval Ren-Di Wu Yu-Yen Lin Huei-Fang Yang VLM 59 0 0 30 Sep 2025
MLLM-Guided VLM Fine-Tuning with Joint Inference for Zero-Shot Composed Image Retrieval Rong-Cheng Tu Zhao Jin Jingyi Liao Xiao Luo Yingjie Wang Li Shen Dacheng Tao 289 3 0 26 May 2025
Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models Fei Wang Li Shen Liang Ding Chao Xue Ye Liu Changxing Ding 221 4 0 13 Oct 2024
Exploring and Enhancing the Transfer of Distribution in Knowledge Distillation for Autoregressive Language Models Jun Rao Xuebo Liu Zepeng Lin Liang Ding Jing Li Dacheng Tao Min Zhang 267 2 0 19 Sep 2024
Pseudo-triplet Guided Few-shot Composed Image Retrieval Bohan Hou Haoqiang Lin Haokun Wen Meng Liu Xuemeng Song 296 5 0 08 Jul 2024
Direction-Oriented Visual-semantic Embedding Model for Remote Sensing Image-text RetrievalIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023 Qing Ma Jiancheng Pan Cong Bai 204 40 0 12 Oct 2023
Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining? Haiwei Yang Liang Ding Jun Rao Ye Liu Li Shen Changxing Ding 168 22 0 24 Aug 2023
Multimodal Neural DatabasesAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 Giovanni Trappolini Andrea Santilli Emanuele Rodolà A. Halevy Fabrizio Silvestri 209 11 0 02 May 2023
Prompt-Learning for Cross-Lingual Relation ExtractionIEEE International Joint Conference on Neural Network (IJCNN), 2023 Chiaming Hsu Changtong Zan Liang Ding Longyue Wang Xiaoting Wang Weifeng Liu Fu Lin Wenbin Hu LRM 140 12 0 20 Apr 2023
AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content CreationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 Jheng-Hong Yang Carlos Lassance Rafael Sampaio de Rezende Krishna Srinivasan Miriam Redi Stéphane Clinchant Jimmy J. Lin 253 14 0 04 Apr 2023
Scene-centric vs. Object-centric Image-Text Cross-modal Retrieval: A Reproducibility StudyEuropean Conference on Information Retrieval (ECIR), 2023 Mariya Hendriksen Svitlana Vakulenko E. Kuiper Maarten de Rijke 260 5 0 12 Jan 2023
Dynamic Contrastive Distillation for Image-Text RetrievalIEEE transactions on multimedia (IEEE TMM), 2022 Jun Rao Liang Ding Shuhan Qi Meng Fang Yang Liu Liqiong Shen Dacheng Tao VLM 154 38 0 04 Jul 2022
Parameter-Efficient and Student-Friendly Knowledge DistillationIEEE transactions on multimedia (IEEE TMM), 2022 Jun Rao Xv Meng Liang Ding Shuhan Qi Dacheng Tao 189 64 0 28 May 2022
Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption Retrieval Maurits J. R. Bleeker Andrew Yates Maarten de Rijke 218 4 0 28 Apr 2022