6 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CL2025
DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale
Linghao Zhang, Junhao Wang, Shilin He +13
Large Language Models have advanced automated software development, however, it remains a challenge to correctly infer dependencies, namely, identifying the internal components and…
q-fin.ST2024★ 6 cited
Ploutos: Towards interpretable stock movement prediction with financial large language model
Hanshuang Tong, Jun Li, Ning Wu +3
Recent advancements in large language models (LLMs) have opened new pathways for many domains. However, the full potential of LLMs in financial investments remains largely untapped…
cs.AI2014★ 1 cited
Multiscale probability transformation of basic probability assignment
Meizhu Li, Qi Zhang, Yong Deng
Decision making is still an open issue in the application of Dempster-Shafer evidence theory. A lot of works have been presented for it. In the transferable belief model (TBM), pig…