11 accepted papers
Data heterogeneity poses a critical challenge in federated learning, driving the development of personalized client models. However, when each client’s local data is limited and nonindependent and identically distributed (non-IID), previous efforts fail to implement collaborative strategies based on…
Classical Chinese poetry is a valuable cultural heritage. Transforming classical poetry into visual images enriches its expressive form and makes it more accessible to modern audiences. While generative models have succeeded in text-to-image synthesis, existing methods struggle with classical poetry…
Personality detection aims to identify the personality traits implied in social posts. Existing methods mainly focus on learning the mapping between user-generated posts and personality trait labels but inevitably suffer from potential harm caused by individual bias, as these posts are written by au
Classical Chinese poetry, with its rich cultural heritage, holds immense artistic value. Recently, research on multi-modal approaches to classical poetry has garnered attention. Current research mainly focuses on poetry and images, but images cannot fully capture dynamic scenes like sunrises. Howeve…
Given the importance of ancient Chinese in capturing the essence of rich historical and cultural heritage, the rapid advancements in Large Language Models (LLMs) necessitate benchmarks that can effectively evaluate their understanding of ancient contexts. To meet this need, we present AC-EVAL, an in…
Conversational aspect-based sentiment quadruple analysis, namely DiaASQ, aims to extract the quadruple of target-aspect-opinion-sentiment within a dialogue . In DiaASQ, a quadruple’s elements often cross multiple utterances. This situation complicates the extraction process, emphasizing the need for…
The presence of noisy correspondence within cross-modal matching has significantly undermined the performance of existing matching methods. In this paper, we introduce a robust framework named Neighbor Auxiliary Corrector (NAC) for alleviating noise by utilizing the neighbors, which are indicative o…
Automatic Music Transcription (AMT) aims to convert music audio into digital sheet music. Piano transcription is a popular but challenging subtask of AMT. For every piano pitch, the harmonic structure is fixed in the frequency domain, while the Transformer based on self-attention has great potential…
Dropout is a widely utilized regularization technique in the training of neural networks, nevertheless, its underlying mechanism and impact on achieving good generalization abilities remain to be further understood. In this work, we start by undertaking a rigorous theoretical derivation of the stoch…
Relation classification is to determine the semantic relationship between two entities in a given sentence. However, many relation classifiers are vulnerable to adversarial attacks, which is using adversarial examples to lead victim models to output wrong results. In this paper, we propose a simple…
Classical Chinese poetry has a long history and is a precious cultural heritage of humankind. Displaying the classical Chinese poetry in a visual way, helps to cross cultural barriers in different countries, making it enjoyable for all the people. In this paper, we construct a multi-modal knowledge…