6 citations · 13 across the 7 of their papers we have counts for
5 papers · 1 filter
Trace Is In Sentences: Unbiased Lightweight ChatGPT-Generated Text Detector
Mo Mu, Dianqiao Lei, Chang Li
The widespread adoption of ChatGPT has raised concerns about its misuse, highlighting the need for robust detection of AI-generated text. Current word-level detectors are vulnerabl…
RAC: Efficient LLM Factuality Correction with Retrieval Augmentation
Changmao Li, Jeffrey Flanigan
Large Language Models (LLMs) exhibit impressive results across a wide range of natural language processing (NLP) tasks, yet they can often produce factually incorrect outputs. This…
Competence-Level Prediction and Resume & Job Description Matching Using Context-Aware Transformer Models
Changmao Li, Elaine Fisher, Rebecca Thomas +3
This paper presents a comprehensive study on resume classification to reduce the time and labor needed to screen an overwhelming number of applications significantly, while improvi…
Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering
Changmao Li, Jinho D. Choi
We introduce a novel approach to transformers that learns hierarchical representations in multiparty dialogue. First, three language modeling tasks are used to pre-train the transf…
Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social Media
Xiangjue Dong, Changmao Li, Jinho D. Choi
We present a transformer-based sarcasm detection model that accounts for the context from the entire conversation thread for more robust predictions. Our model uses deep transforme…