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Found 5 papers, 3 papers with code
Comparing Styles across Languages
Understanding how styles differ across languages is advantageous for training both humans and computers to generate culturally appropriate text.
Multilingual Language Models are not Multicultural: A Case Study in Emotion
Emotions are experienced and expressed differently across the world.
TopEx: Topic-based Explanations for Model Comparison
Meaningfully comparing language models is challenging with current explanation methods.
Psychological Metrics for Dialog System Evaluation
We present metrics for evaluating dialog systems through a psychologically-grounded "human" lens in which conversational agents express a diversity of both states (e. g., emotion) and traits (e. g., personality), just as people do.
Faithful Chain-of-Thought Reasoning
While Chain-of-Thought (CoT) prompting boosts Language Models' (LM) performance on a gamut of complex reasoning tasks, the generated reasoning chain does not necessarily reflect how the model arrives at the answer (aka.
