83 citations · 120 across the 7 of their papers we have counts for
7 papers
Clarify-Then-Search: A Clarification Benchmark for Deep Search with End-to-End Nugget Restoration
Deqiang Huang, Jingbo Zhou, Xinjiang Lu +3
Deep search is brittle on underspecified user queries: missing constraints such as time, location, scope, or definitions can lead to retrieval drift and incomplete answers. We intr…
Position: Beyond Model-Centric Prediction -- Agentic Time Series Forecasting
Mingyue Cheng, Xiaoyu Tao, Qi Liu +2
Time series forecasting has traditionally been formulated as a model-centric, static, and single-pass prediction problem that maps historical observations to future values. While t…
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing
Xinjie Sun, Kai Zhang, Qi Liu +4
Knowledge Tracing (KT) predicts future performance by modeling students' historical interactions, and understanding students' affective states can enhance the effectiveness of KT,…
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification
Xiaoyu Tao, Tingyue Pan, Mingyue Cheng +3
Time series classification plays a fundamental role in a wide range of real-world applications. Recently, large language models (LLMs) have demonstrated strong generalization and r…
Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study
Shuo Yu, Mingyue Cheng, Qi Liu +6
Retrieval-augmented generation (RAG) is increasingly recognized as an effective approach to mitigating the hallucination of large language models (LLMs) through the integration of…
Group Multi-View Transformer for 3D Shape Analysis with Spatial Encoding
Lixiang Xu, Qingzhe Cui, Richang Hong +5
In recent years, the results of view-based 3D shape recognition methods have saturated, and models with excellent performance cannot be deployed on memory-limited devices due to th…
Enhancing Item Response Theory for Cognitive Diagnosis
Song Cheng, Qi Liu
Cognitive diagnosis is a fundamental and crucial task in many educational applications, e.g., computer adaptive test and cognitive assignments. Item Response Theory (IRT) is a clas…