3 papers
cs.LG2026
Uni-FinLLM: A Unified Multimodal Large Language Model with Modular Task Heads for Micro-Level Stock Prediction and Macro-Level Systemic Risk Assessment
Gongao Zhang, Haijiang Zeng, Lu Jiang
Financial institutions and regulators require systems that integrate heterogeneous data to assess risks from stock fluctuations to systemic vulnerabilities. Existing approaches oft…
cs.CL2025
SciTopic: Enhancing Topic Discovery in Scientific Literature through Advanced LLM
Pengjiang Li, Zaitian Wang, Xinhao Zhang +4
Topic discovery in scientific literature provides valuable insights for researchers to identify emerging trends and explore new avenues for investigation, facilitating easier scien…
cs.DC2025
Opt-GPTQ: An Optimized GPTQ Combining Sparse Attention and Quantization Techniques
Jie Kong, Junxiang Zhang, Jiheng Xu +7
In the field of deep learning, traditional attention mechanisms face significant challenges related to high computational complexity and large memory consumption when processing lo…