26 citations · 42 across the 8 of their papers we have counts for
4 papers · 1 filter
INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models
Yew Ken Chia, Pengfei Hong, Lidong Bing +1
Instruction-tuned large language models have revolutionized natural language processing and have shown great potential in applications such as conversational agents. These models,…
Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction
Qi Sun, Kun Huang, Xiaocui Yang +3
Document-level relation extraction (DocRE) aims to infer complex semantic relations among entities in a document. Distant supervision (DS) is able to generate massive auto-labeled…
Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt
Xiaocui Yang, Shi Feng, Daling Wang +5
We have witnessed the rapid proliferation of multimodal data on numerous social media platforms. Conventional studies typically require massive labeled data to train models for Mul…
ReMask: A Robust Information-Masking Approach for Domain Counterfactual Generation
Pengfei Hong, Rishabh Bhardwaj, Navonil Majumdar +2
Domain shift is a big challenge in NLP, thus, many approaches resort to learning domain-invariant features to mitigate the inference phase domain shift. Such methods, however, fail…