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Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning
Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning
Encoding and Controlling Global Semantics for Long-form Video Question Answering
Encoding and Controlling Global Semantics for Long-form Video Question Answering
MAMA: A Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning
Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives
SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks
From Static to Dynamic: Knowledge Metabolism for Large Language Models
READ: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
Mercury: An efficiency benchmark for llm code synthesis
TOPIC MODELING AS MULTI-OBJECTIVE CONTRASTIVE OPTIMIZATION
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs
Using Punctuation as an Adversarial Attack on Deep Learning-Based NLP Systems:An Empirical Study
Utilizing Temporal Information for Taxonomy Construction
Learning Term Embeddings for Taxonomic Relation Identification with Dynamic Weighting Neural Network
Taxonomy Construction using Syntactic Contextual Evidence
Incorporating Trustiness and Collective Synonym/ Contrastive Evidence into Taxonomy Construction
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