9 citations · 9 across the 6 of their papers we have counts for
6 papers
MR-Bench: Going Beyond Matching to Reasoning in Multimodal Retrieval
Junjie Zhou, Ze Liu, Lei Xiong +10
Multimodal retrieval is becoming a crucial component of modern AI applications, yet its evaluation lags behind the demands of more realistic and challenging scenarios. Existing ben…
In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning
Yifei Duan, Liu Li, Zirui Zhai +1
We applied few-shot in-context learning on the OPT-1.3B model for the natural language inference task and employed knowledge distillation to internalize the context information, re…
Towards Time-Aware Distant Supervision for Relation Extraction
Tianwen Jiang, Sendong Zhao, Jing Liu +5
Distant supervision for relation extraction heavily suffers from the wrong labeling problem. To alleviate this issue in news data with the timestamp, we take a new factor time into…
Operations Guided Neural Networks for High Fidelity Data-To-Text Generation
Feng Nie, Jinpeng Wang, Jin-Ge Yao +2
Recent neural models for data-to-text generation are mostly based on data-driven end-to-end training over encoder-decoder networks. Even though the generated texts are mostly fluen…
Incorporating Consistency Verification into Neural Data-to-Document Generation
Feng Nie, Hailin Chen, Jinpeng Wang +3
Recent neural models for data-to-document generation have achieved remarkable progress in producing fluent and informative texts. However, large proportions of generated texts do n…
Subspace Clustering Based Tag Sharing for Inductive Tag Matrix Refinement with Complex Errors
Yuqing Hou, Zhouchen Lin, Jin-ge Yao
Annotating images with tags is useful for indexing and retrieving images. However, many available annotation data include missing or inaccurate annotations. In this paper, we propo…