6 citations · 11 across the 12 of their papers we have counts for
12 papers
Beyond Supervised Clarification: Input Rewriting with LLMs for Dialogue Discourse Parsing
Yiming Liu, Ziyue Zhang, Zhichao Xu +4
Rewriting inputs to improve frozen downstream models has become a common strategy in modern NLP pipelines. Prior work on incremental dialogue discourse parsing (DDP) shows that sup…
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…
Enhancing Talk Moves Analysis in Mathematics Tutoring through Classroom Teaching Discourse
Jie Cao, Abhijit Suresh, Jennifer Jacobs +7
Human tutoring interventions play a crucial role in supporting student learning, improving academic performance, and promoting personal growth. This paper focuses on analyzing math…
Dependency Dialogue Acts -- Annotation Scheme and Case Study
Jon Z. Cai, Brendan King, Margaret Perkoff +9
In this paper, we introduce Dependency Dialogue Acts (DDA), a novel framework for capturing the structure of speaker-intentions in multi-party dialogues. DDA combines and adapts fe…
Database Workload Characterization with Query Plan Encoders
Debjyoti Paul, Jie Cao, Feifei Li +1
Smart databases are adopting artificial intelligence (AI) technologies to achieve {\em instance optimality}, and in the future, databases will come with prepackaged AI models withi…
Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes
Jie Cao, Michael Tanana, Zac E. Imel +3
Automatically analyzing dialogue can help understand and guide behavior in domains such as counseling, where interactions are largely mediated by conversation. In this paper, we st…