3 papers
cs.CV2026
KVSmooth: Mitigating Hallucination in Multi-modal Large Language Models through Key-Value Smoothing
Siyu Jiang, Feiyang Chen, Xiaojin Zhang +1
Despite the significant progress of Multimodal Large Language Models (MLLMs) across diverse tasks, hallucination -- corresponding to the generation of visually inconsistent objects…
cs.DB2026
TLSQL: Table Learning Structured Query Language
Feiyang Chen, Ken Zhong, Aoqian Zhang +3
Table learning has recently emerged as an important paradigm at the intersection of database systems and machine learning. However, applying table learning in practice often requir…
cs.LG2025
SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment
Yixin Song, Zhenliang Xue, Dongliang Wei +11
While frontier large language models (LLMs) continue to push capability boundaries, their deployment remains confined to GPU-powered cloud infrastructure. We challenge this paradig…