6 citations · 11 across the 12 of their papers we have counts for
7 papers · 1 filter
OUNLP at TSAR 2025 Shared Task: Multi-Round Text Simplifier via Code Generation
Cuong Huynh, Jie Cao
This paper describes the OUNLP system submitted to the TSAR-2025 Shared Task (Alva-Manchego et al., 2025), designed for readability-controlled text simplification using LLM-prompti…
Translation via Annotation: A Computational Study of Translating Classical Chinese into Japanese
Zilong Li, Jie Cao
Ancient people translated classical Chinese into Japanese using a system of annotations placed around characters. We abstract this process as sequence tagging tasks and fit them in…
Rethinking On-policy Optimization for Query Augmentation
Zhichao Xu, Shengyao Zhuang, Xueguang Ma +6
Recent advances in large language models (LLMs) have led to a surge of interest in query augmentation for information retrieval (IR). Two main approaches have emerged. The first pr…
Do LLMs Encode Frame Semantics? Evidence from Frame Identification
Jayanth Krishna Chundru, Rudrashis Poddar, Jie Cao +1
We investigate whether large language models encode latent knowledge of frame semantics, focusing on frame identification, a core challenge in frame semantic parsing that involves…
AQUAH: Automatic Quantification and Unified Agent in Hydrology
Songkun Yan, Zhi Li, Siyu Zhu +5
We introduce AQUAH, the first end-to-end language-based agent designed specifically for hydrologic modeling. Starting from a simple natural-language prompt (e.g., 'simulate floods…
Towards Actionable Pedagogical Feedback: A Multi-Perspective Analysis of Mathematics Teaching and Tutoring Dialogue
Jannatun Naim, Jie Cao, Fareen Tasneem +4
Effective feedback is essential for refining instructional practices in mathematics education, and researchers often turn to advanced natural language processing (NLP) models to an…
MatterChat: A Multi-Modal LLM for Material Science
Yingheng Tang, Wenbin Xu, Jie Cao +6
Understanding and predicting the properties of inorganic materials is crucial for accelerating advancements in materials science and driving applications in energy, electronics, an…