17 citations · 23 across the 7 of their papers we have counts for
7 papers
Reframe Your Life Story: Interactive Narrative Therapist and Innovative Moment Assessment with Large Language Models
Yi Feng, Jiaqi Wang, Wenxuan Zhang +6
Recent progress in large language models (LLMs) has opened new possibilities for mental health support, yet current approaches lack realism in simulating specialized psychotherapy…
SS-GEN: A Social Story Generation Framework with Large Language Models
Yi Feng, Mingyang Song, Jiaqi Wang +5
Children with Autism Spectrum Disorder (ASD) often misunderstand social situations and struggle to participate in daily routines. Social Stories are traditionally crafted by psycho…
A Preliminary Empirical Study on Prompt-based Unsupervised Keyphrase Extraction
Mingyang Song, Yi Feng, Liping Jing
Pre-trained large language models can perform natural language processing downstream tasks by conditioning on human-designed prompts. However, a prompt-based approach often require…
Large Language Models as Zero-Shot Keyphrase Extractors: A Preliminary Empirical Study
Mingyang Song, Xuelian Geng, Songfang Yao +3
Zero-shot keyphrase extraction aims to build a keyphrase extractor without training by human-annotated data, which is challenging due to the limited human intervention involved. Ch…
Is ChatGPT A Good Keyphrase Generator? A Preliminary Study
Mingyang Song, Haiyun Jiang, Shuming Shi +5
The emergence of ChatGPT has recently garnered significant attention from the computational linguistics community. To demonstrate its capabilities as a keyphrase generator, we cond…
Hyperbolic Relevance Matching for Neural Keyphrase Extraction
Mingyang Song, Yi Feng, Liping Jing
Keyphrase extraction is a fundamental task in natural language processing and information retrieval that aims to extract a set of phrases with important information from a source d…
Reinforced Abstractive Summarization with Adaptive Length Controlling
Mingyang Song, Yi Feng, Liping Jing
Document summarization, as a fundamental task in natural language generation, aims to generate a short and coherent summary for a given document. Controllable summarization, especi…