Papers by Yuan Pu
Breaking the Generator Barrier: Disentangled Representation for Generalizable AI-Text Detection (2026.acl-long)
Copied to clipboard
| Challenge: | a rapid proliferation of large language models (LLMs) generate text that increasingly resembles human writing . this makes it difficult to capture subtle cues that distinguish AI-generated content from human-written content . |
| Approach: | They propose a framework that disentangles AI-detection semantics from generator-aware artifacts by latent encoding and perturbation-based regularization. |
| Outcome: | The proposed framework disentangles AI-detection semantics from generator-aware artifacts on 20 representative LLMs across 7 categories. |
MedRedFlag: Investigating how LLMs Redirect Misconceptions in Real-World Health Communication (2026.findings-acl)
Copied to clipboard
| Challenge: | Large language models (LLMs) are increasingly being used by lay users for medical advice, but they have not yet been tested for this crucial competency. |
| Approach: | They develop a semi-automated pipeline to curate MedRedFlag, a dataset of 1100+ reddit questions that require redirection. |
| Outcome: | The proposed pipeline compares state-of-the-art LLMs to those from clinicians to find out how they perform under real-world health communication. |
Text Editing as Imitation Game (2022.findings-emnlp)
Copied to clipboard
| Challenge: | Text editing is an important domain of processing tasks to edit the text in a localized fashion, such as text simplification. |
| Approach: | They propose a nonautoregressive decoder for state-to-action demonstrations that parallels the decoding while retaining the dependencies between tokens. |
| Outcome: | The proposed model outperforms the autoregressive baselines on a suite of Arithmetic Equation benchmarks in terms of performance, efficiency, and robustness. |