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Found 7 papers, 2 papers with code
M$^2$PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
Instruction tuning has emerged as an effective strategy for achieving zero-shot generalization by finetuning pretrained models on diverse multimodal tasks.
MixCut:A Data Augmentation Method for Facial Expression Recognition
In order to solve this kind of problem, we proposes a new data augmentation method named MixCut.
A survey on fairness of large language models in e-commerce: progress, application, and challenge
This work presents a comprehensive survey on the applications and challenges of LLMs in e-commerce.
LLM-Powered Test Case Generation for Detecting Tricky Bugs
Conventional automated test generation tools struggle to generate test oracles and tricky bug-revealing test inputs.
Hint-dynamic Knowledge Distillation
Knowledge Distillation (KD) transfers the knowledge from a high-capacity teacher model to promote a smaller student model.
Recognizing Nested Entities from Flat Supervision: A New NER Subtask, Feasibility and Challenges
However, existing nested NER models heavily rely on training data annotated with nested entities, while labeling such data is costly.
Deep Span Representations for Named Entity Recognition
However, this typically results in significant ineffectiveness for long-span entities, a coupling between the representations of overlapping spans, and ultimately a performance degradation.
