← Search

Mingquan Lin

2 accepted papers

2025

FLAG-TRADER: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading

ACL 2025finding

Large language models (LLMs) fine-tuned on multimodal financial data have demonstrated impressive reasoning capabilities in various financial tasks. However, they often struggle with multi-step, goal-oriented scenarios in interactive financial markets, such as trading, where complex agentic approach…

Cited by 0SourcePDFScholar
2025

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding

CVPR 2025poster

Recent advancements in multimodal large language models (MLLMs) have significantly improved performance in visual question answering. However, they often suffer from hallucinations. In this work, hallucinations are categorized into two main types: initial hallucinations and snowball hallucinations.…

Cited by 0SourcePDFScholar