22 citations · 37 across the 24 of their papers we have counts for
7 papers · 1 filter
Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and Beyond
Siyang Liu, Naihao Deng, Sahand Sabour +3
We propose task-adaptive tokenization as a way to adapt the generation pipeline to the specifics of a downstream task and enhance long-form generation in mental health. Inspired by…
HI-TOM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models
Yinghui He, Yufan Wu, Yilin Jia +3
Theory of Mind (ToM) is the ability to reason about one's own and others' mental states. ToM plays a critical role in the development of intelligence, language understanding, and c…
Psychologically-Inspired Causal Prompts
Zhiheng Lyu, Zhijing Jin, Justus Mattern +3
NLP datasets are richer than just input-output pairs; rather, they carry causal relations between the input and output variables. In this work, we take sentiment classification as…
Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding
Yingting Li, Ambuj Mehrish, Shuai Zhao +5
Fine-tuning is widely used as the default algorithm for transfer learning from pre-trained models. Parameter inefficiency can however arise when, during transfer learning, all the…
Using Paraphrases to Study Properties of Contextual Embeddings
Laura Burdick, Jonathan K. Kummerfeld, Rada Mihalcea
We use paraphrases as a unique source of data to analyze contextualized embeddings, with a particular focus on BERT. Because paraphrases naturally encode consistent word and phrase…
Predicting the Industry of Users on Social Media
Konstantinos Pappas, Rada Mihalcea
Automatic profiling of social media users is an important task for supporting a multitude of downstream applications. While a number of studies have used social media content to ex…