Qifan Wang

AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes

2023 · arXiv (Cornell University)

We propose attribute-aware multimodal entity linking, where the input consists of a mention described with a text paragraph and images, and the goal is to predict the corresponding target entity from a multimodal knowledge base …

RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank

2023 · arXiv (Cornell University)

Unsupervised sentence representation learning is one of the fundamental problems in natural language processing with various downstream applications. Recently, contrastive learning has been widely adopted which derives high-quality sentence representations by pulling similar semantics closer …

Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation

2023

Sequential recommender models typically generate predictions in a single step during testing, without considering additional prediction correction to enhance performance as humans would. To improve the accuracy of these models, some researchers have attempted to …

XPrompt: Exploring the Extreme of Prompt Tuning

2022

Prompt tuning learns soft prompts to condition the frozen Pre-trained Language Models (PLMs) for performing downstream tasks in a parameter-efficient manner. While prompt tuning has gradually reached the performance level of fine-tuning as the model …

Interactive active learning for fairness with partial group label

2023 · AI Open

The rapid development of AI technologies has found numerous applications across various domains in human society. Ensuring fairness and preventing discrimination are critical considerations in the development of AI models. However, incomplete information often hinders …

Big Bird: Transformers for Longer Sequences

2020 · arXiv (Cornell University)

Transformers-based models, such as BERT, have been one of the most successful deep learning models for NLP. Unfortunately, one of their core limitations is the quadratic dependency (mainly in terms of memory) on the sequence …