3 accepted papers
This paper investigates the group characteristics in multi-agent collaborative systems under adversarial attacks. Adversarial agents are tasked with generating counterfactual answers to a given collaborative problem, while collaborative agents normally interact with other agents to solve the given p
Pre-trained vision-language models, e.g., CLIP, working with manually designed prompts have demonstrated great effectiveness in transfer learning. Recently, learnable prompts achieve state-of-the-art performance, which however are prone to overfit to seen classes while failing to generalize to unsee…
Word sense disambiguation (WSD), identifying the most suitable meaning of ambiguous words in the given contexts according to a predefined sense inventory, is one of the most classical and challenging tasks in natural language processing. Benefiting from the powerful ability of deep neural networks,…