Search Results for author: Yi Bin

Found 8 papers, 6 papers with code

Non-Autoregressive Sentence Ordering

1 code implementation19 Oct 2023 Yi Bin, Wenhao Shi, Bin Ji, Jipeng Zhang, Yujuan Ding, Yang Yang

Existing sentence ordering approaches generally employ encoder-decoder frameworks with the pointer net to recover the coherence by recurrently predicting each sentence step-by-step.

Sentence Sentence Ordering

Solving Math Word Problems with Reexamination

1 code implementation14 Oct 2023 Yi Bin, Wenhao Shi, Yujuan Ding, Yang Yang, See-Kiong Ng

Math word problem (MWP) solving aims to understand the descriptive math problem and calculate the result, for which previous efforts are mostly devoted to upgrade different technical modules.

Descriptive Math

Your Negative May not Be True Negative: Boosting Image-Text Matching with False Negative Elimination

1 code implementation8 Aug 2023 Haoxuan Li, Yi Bin, Junrong Liao, Yang Yang, Heng Tao Shen

Most existing image-text matching methods adopt triplet loss as the optimization objective, and choosing a proper negative sample for the triplet of <anchor, positive, negative> is important for effectively training the model, e. g., hard negatives make the model learn efficiently and effectively.

Image-text matching Representation Learning +1

Unifying Two-Stream Encoders with Transformers for Cross-Modal Retrieval

1 code implementation8 Aug 2023 Yi Bin, Haoxuan Li, Yahui Xu, Xing Xu, Yang Yang, Heng Tao Shen

Specifically, on two key tasks, \textit{i. e.}, image-to-text and text-to-image retrieval, HAT achieves 7. 6\% and 16. 7\% relative score improvement of Recall@1 on MSCOCO, and 4. 4\% and 11. 6\% on Flickr30k respectively.

Cross-Modal Retrieval Image Retrieval +1

Non-Autoregressive Math Word Problem Solver with Unified Tree Structure

1 code implementation8 May 2023 Yi Bin, Mengqun Han, Wenhao Shi, Lei Wang, Yang Yang, See-Kiong Ng, Heng Tao Shen

For evaluating the possible expression variants, we design a path-based metric to evaluate the partial accuracy of expressions of a unified tree.

Math valid

Graph-to-Tree Learning for Solving Math Word Problems

1 code implementation ACL 2020 Jipeng Zhang, Lei Wang, Roy Ka-Wei Lee, Yi Bin, Yan Wang, Jie Shao, Ee-Peng Lim

While the recent tree-based neural models have demonstrated promising results in generating solution expression for the math word problem (MWP), most of these models do not capture the relationships and order information among the quantities well.

Math Math Word Problem Solving

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