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Found 4 papers, 2 papers with code
Semantic Role Labeling: A Systematical Survey
Semantic role labeling (SRL) is a central natural language processing (NLP) task aiming to understand the semantic roles within texts, facilitating a wide range of downstream applications.
Dynamic Token Reduction during Generation for Vision Language Models
Vision-Language Models (VLMs) have achieved notable success in multimodal tasks but face practical limitations due to the quadratic complexity of decoder attention mechanisms and autoregressive generation.
LLM-Driven Multimodal Opinion Expression Identification
We introduce a novel multimodal OEI (MOEI) task, integrating text and speech to mirror real-world scenarios.
Retrieval-style In-Context Learning for Few-shot Hierarchical Text Classification
Hierarchical text classification (HTC) is an important task with broad applications, while few-shot HTC has gained increasing interest recently.
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