1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
cs.IR2024★ 1 cited
Enhancing Knowledge Retrieval with Topic Modeling for Knowledge-Grounded Dialogue
Nhat Tran, Diane Litman
Knowledge retrieval is one of the major challenges in building a knowledge-grounded dialogue system. A common method is to use a neural retriever with a distributed approximate nea…