1 citations · 1 across the 5 of their papers we have counts for
5 papers
Fact in Fragments: Deconstructing Complex Claims via LLM-based Atomic Fact Extraction and Verification
Liwen Zheng, Chaozhuo Li, Zheng Liu +4
Fact verification plays a vital role in combating misinformation by assessing the veracity of claims through evidence retrieval and reasoning. However, traditional methods struggle…
Reasoning Paths as Signals: Augmenting Multi-hop Fact Verification through Structural Reasoning Progression
Liwen Zheng, Chaozhuo Li, Haoran Jia +1
The growing complexity of factual claims in real-world scenarios presents significant challenges for automated fact verification systems, particularly in accurately aggregating and…
Diffusion with a Linguistic Compass: Steering the Generation of Clinically Plausible Future sMRI Representations for Early MCI Conversion Prediction
Zhihao Tang, Chaozhuo Li, Litian Zhang +1
Early prediction of Mild Cognitive Impairment (MCI) conversion is hampered by a trade-off between immediacy--making fast predictions from a single baseline sMRI--and accuracy--leve…
Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression
Xi Zhang, Xiaolin Wu
It is customary to deploy uniform scalar quantization in the end-to-end optimized Neural image compression methods, instead of more powerful vector quantization, due to the high co…
Beyond Entity Alignment: Towards Complete Knowledge Graph Alignment via Entity-Relation Synergy
Xiaohan Fang, Chaozhuo Li, Yi Zhao +5
Knowledge Graph Alignment (KGA) aims to integrate knowledge from multiple sources to address the limitations of individual Knowledge Graphs (KGs) in terms of coverage and depth. Ho…