activity
20242026
most citedFinLlama: Financial Sentiment Classification for Algorithmic Trading Applications

6 citations · 6 across the 13 of their papers we have counts for

collaborators

14 papers

q-fin.PM2026

Beyond Co-Movement: Locality by Exposures Enables a Joint Factor-Graph Framework for Portfolio Diversification

Sara Chehab, Giorgos Iacovides, Parisa Yazdanparast +1

Current portfolio construction methods are either agnostic to the effects of idiosyncratic shocks (standard factor models) or to the latent data structure driving systematic return…

cs.CL2026

FinSMART: Financial Sentiment Analysis for Algorithmic Trading through Market-Aligned Reinforcement Learning

Giorgos Iacovides, Wuyang Zhou, Danilo Mandic

Recent advances in Generative AI have substantially improved financial sentiment analysis through post-trained financial large language models (LLMs). However, existing approaches…

cs.CL2026

Tensorizing Engram: Sharing Latents Across N-Gram Embeddings is Beneficial in LLMs

Wuyang Zhou, Yuxuan Gu, Giorgos Iacovides +3

Modern language models represent text using discrete token-level embeddings, which forces recurring multi-token patterns to be learned implicitly across Transformer layers. Both Ov…

cs.CY2026

Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts

Alexander K. Saeri, Jess Graham, Michael Noetel +185

Artificial intelligence poses many risks, ranging from familiar present-day harms to unprecedented and potentially catastrophic ones. Effective risk management requires prioritizat…

cs.LG2026

RefineBridge: Generative Bridge Models Improve Financial Forecasting by Foundation Models

Anthony Bolton, Wuyang Zhou, Zehua Chen +2

Financial time series forecasting is particularly challenging for transformer-based time series foundation models (TSFMs) due to non-stationarity, heavy-tailed distributions, and h…

cs.CL2026

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices

Wuyang Zhou, Yuxuan Gu, Giorgos Iacovides +1

The success of Hyper-Connections (HC) in neural networks (NN) has also highlighted issues related to training instability and restricted scalability. The Manifold-Constrained Hyper…