SS-GEN: A Social Story Generation Framework with Large Language Models

Y Feng, M Song, J Wang, Z Chen, G Bi… - arxiv preprint arxiv …, 2024 - arxiv.org
Children with Autism Spectrum Disorder (ASD) often misunderstand social situations and
struggle to participate in daily routines. Social Stories are traditionally crafted by psychology …

Agents on the Bench: Large Language Model Based Multi Agent Framework for Trustworthy Digital Justice

C Jiang, X Yang - arxiv preprint arxiv:2412.18697, 2024 - arxiv.org
The justice system has increasingly employed AI techniques to enhance efficiency, yet
limitations remain in improving the quality of decision-making, particularly regarding …

Bridging Context Gaps: Enhancing Comprehension in Long-Form Social Conversations Through Contextualized Excerpts

S Mohanty, S Xuan, J Jobraeel, A Kumar, D Roy… - arxiv preprint arxiv …, 2024 - arxiv.org
We focus on enhancing comprehension in small-group recorded conversations, which serve
as a medium to bring people together and provide a space for sharing personal stories and …

Automating Legal Concept Interpretation with LLMs: Retrieval, Generation, and Evaluation

K Luo, Q Huang, C Jiang, Y Feng - arxiv preprint arxiv:2501.01743, 2025 - arxiv.org
Legal articles often include vague concepts to adapt to the ever-changing society. Providing
detailed interpretations of these concepts is a critical task for legal practitioners, which …

A Comparative Study of Large Language Models for Named Entity Recognition in the Legal Domain

T Deußer, C Zhao, L Sparrenberg… - … Conference on Big …, 2024 - ieeexplore.ieee.org
Named Entity Recognition (NER) in the legal domain presents unique challenges due to
specialized terminology and complex linguistic structures inherent in legal texts. While large …

Constructing A Human-Centered Dataset for Second Language Acquisition via Large Language Models

Y Fan, B Li, Z Yang, Z Gao - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Large language models (LLMs) achieve advanced capabilities in natural language
processing (NLP) through pre-training on massive data, suggesting that LLMs have great …