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Found 4 papers, 2 papers with code
Towards Understanding Counseling Conversations: Domain Knowledge and Large Language Models
Understanding the dynamics of counseling conversations is an important task, yet it is a challenging NLP problem regardless of the recent advance of Transformer-based pre-trained language models.
Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models
The model learns to reduce the input context using On-Policy Reinforcement Learning and aims to improve the reasoning performance of a fixed LLM.
Towards Explaining Subjective Ground of Individuals on Social Media
Large-scale language models have been reducing the gap between machines and humans in understanding the real world, yet understanding an individual's theory of mind and behavior from text is far from being resolved.
Comparative Studies of Detecting Abusive Language on Twitter
However, this dataset has not been comprehensively studied to its potential.
