69 citations · 172 across the 44 of their papers we have counts for
8 papers · 1 filter
Visual Search Augmented Chain-of-Thought Reasoning for Attribute Value Extraction from Product Videos
Tong Wu, Ming Cheng, Jiazhen Hu +2
Existing approaches to visual attribute value extraction (AVE) primarily rely on static product images, failing to capture temporal cues, multi-angle views and fine-grained visual…
Hierarchical Wasserstein Merging for Multi-Domain Multi-Task Learning: From Specialists to a Generalist
Ming Cheng, Jiaying Gong, Hoda Eldardiry
Multi-domain multi-task learning (MD-MTL) aims to build a single generalist model that performs well across heterogeneous domains and tasks. However, joint training often suffers f…
Sci-LoRA: Mixture of Scientific LoRAs for Cross-Domain Lay Paraphrasing
Ming Cheng, Jiaying Gong, Hoda Eldardiry
Lay paraphrasing aims to make scientific information accessible to audiences without technical backgrounds. However, most existing studies focus on a single domain, such as biomedi…
VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Models
Ming Cheng, Jiaying Gong, Chenhan Yuan +3
Existing text simplification or paraphrase datasets mainly focus on sentence-level text generation in a general domain. These datasets are typically developed without using domain…
Few-Shot Relation Extraction with Hybrid Visual Evidence
Jiaying Gong, Hoda Eldardiry
The goal of few-shot relation extraction is to predict relations between name entities in a sentence when only a few labeled instances are available for training. Existing few-shot…
Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentation
Jiaying Gong, Hoda Eldardiry
In relation triplet extraction (RTE), recognizing unseen relations for which there are no training instances is a challenging task. Efforts have been made to recognize unseen relat…