3 papers
cs.CL2026
Intention-Adaptive LLM Fine-Tuning for Text Revision Generation
Zhexiong Liu, Diane Litman
Large Language Models (LLMs) have achieved impressive capabilities in various context-based text generation tasks, such as summarization and reasoning; however, their applications…
cs.CL2025
Efficient Layer-wise LLM Fine-tuning for Revision Intention Prediction
Zhexiong Liu, Diane Litman
Large Language Models (LLMs) have shown extraordinary success across various text generation tasks; however, their potential for simple yet essential text classification remains un…
cs.CL2025
eRevise+RF: A Writing Evaluation System for Assessing Student Essay Revisions and Providing Formative Feedback
Zhexiong Liu, Diane Litman, Elaine Wang +4
The ability to revise essays in response to feedback is important for students' writing success. An automated writing evaluation (AWE) system that supports students in revising the…