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Found 5 papers, 1 papers with code
Fusing task-oriented and open-domain dialogues in conversational agents
It features inter-mode contextual dependency, i. e., the dialogue turns from the two modes depend on each other.
Ranked #1 on
Dialogue Generation
on FusedChat
Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets
The recent dominance of machine learning-based natural language processing methods has fostered the culture of overemphasizing model accuracies rather than studying the reasons behind their errors.
Autonomous Driving
Cultural Vocal Bursts Intensity Prediction
+1
SenticNet 7: A Commonsense-based Neurosymbolic AI Framework for Explainable Sentiment Analysis
In recent years, AI research has demonstrated enormous potential for the benefit of humanity and society.
Designing Heterogeneous LLM Agents for Financial Sentiment Analysis
Large language models (LLMs) have drastically changed the possible ways to design intelligent systems, shifting the focuses from massive data acquisition and new modeling training to human alignment and strategical elicitation of the full potential of existing pre-trained models.
Primary and Secondary Factor Consistency as Domain Knowledge to Guide Happiness Computing in Online Assessment
We achieve this through: (1) proving that multiple prediction models with additive factor attributions will have the desirable property of primary and secondary relations consistency, and (2) showing that factor relations with quantity can be represented as an importance distribution for encoding domain knowledge.
