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20242026
most citedAdvancing Financial Engineering with Foundation Models: Progress, Applications, and Challenges

1 citations · 1 across the 7 of their papers we have counts for

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cs.CV2026

SignGPT: Toward LLM-Mediated Sign Language Interaction through Gloss-Free Translation and Generation

Ronghui Li, Jun Dong, Zhongyuan Hu +8

Large language models (LLMs) provide limited support for sign language interaction. Unifying sign language translation (SLT) and generation (SLG) to enable sign language as both in…

cs.AI2026

Can Agentic Trading Systems Pay for Their Own Intelligence?

Qiqi Duan, Changlun Li, Chen Wang +10

Large language model (LLM) agents are increasingly used in trading systems, where model reasoning, tool use, and continual decisions incur costs that are expected to produce tradin…

cs.LG2026

From Intent to Evidence: A Categorical Approach for Structural Evaluation of Deep Research Agents

Shuoling Liu, Zhiquan Tan, Kun Yi +6

Deep Research Agents (DRAs) aim to answer complex questions by searching the web, checking evidence, and synthesizing conclusions across heterogeneous sources. We introduce a categ…

cs.LG2026

CN-Buzz2Portfolio: A Chinese-Market Dataset and Benchmark for LLM-Based Macro and Sector Asset Allocation from Daily Trending Financial News

Liyuan Chen, Shilong Li, Jiangpeng Yan +3

Large Language Models (LLMs) are rapidly transitioning from static Natural Language Processing (NLP) tasks including sentiment analysis and event extraction to acting as dynamic de…

cs.LG2026

The Label Horizon Paradox: Rethinking Supervision Targets in Financial Forecasting

Chen-Hui Song, Shuoling Liu, Liyuan Chen

While deep learning has revolutionized financial forecasting through sophisticated architectures, the design of the supervision signal itself is rarely scrutinized. We challenge th…