2 papers
cs.CL2026
Embedding-based In-Context Prompt Training for Enhancing LLMs as Text Encoders
Ailiang Lin, Zhuoyun Li, Keyu Mao +2
Large language models (LLMs) have been widely explored for embedding generation. While recent studies show that in-context learning (ICL) effectively enhances the representational…
cs.MM2024
Contrastive Knowledge Distillation for Robust Multimodal Sentiment Analysis
Zhongyi Sang, Kotaro Funakoshi, Manabu Okumura
Multimodal sentiment analysis (MSA) systems leverage information from different modalities to predict human sentiment intensities. Incomplete modality is an important issue that ma…