Papers with AVG
HFMRE: Constructing Huffman Tree in Bags to Find Excellent Instances for Distantly Supervised Relation Extraction (2023.findings-emnlp)
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| Challenge: | Existing approaches to extract sentence-level features are labor-intensive and time-consuming. |
| Approach: | They propose a distantly supervised relation extraction algorithm that uses circular cosine similarity to show intrinsic associations between sentences within a bag. |
| Outcome: | The proposed method outperforms baselines on the popular DSRE datasets. |
AVG-LLaVA: An Efficient Large Multimodal Model with Adaptive Visual Granularity (2025.findings-acl)
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| Challenge: | Existing large multimodal models typically divide high-resolution images into multiple local images and a global image, leading to a large number of visual tokens. |
| Approach: | They propose an LMM that can adaptively select the appropriate visual granularity based on the input image and instruction. |
| Outcome: | The proposed model significantly reduces visual tokens and speeds up inference on 11 benchmarks. |