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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.CV2026

Groc-PO: Grounded Context Preference Optimization for Truthful Multimodal LLMs

Zhixiao Zheng, Zheren Fu, Zhiyuan Yao +3

The paper introduces Groc-PO, a preference‑optimization framework that provides stage‑specific supervision for object grounding, contextual grounding, and grounded reasoning in mul…

cs.CV2026

ADAPT: Attention Dynamics Alignment with Preference Tuning for Faithful MLLMs

Zhiyuan Yao, Zheren Fu, Zhixiao Zheng +3

Multimodal Large Language Models (MLLMs) are critically hampered by hallucination, generating content inconsistent with the provided image. In this paper, we identify an internal s…

cs.CE2026

MFMDQwen: Multilingual Financial Misinformation Detection Based on Large Language Model

Zhiwei Liu, Yuyan Wang, Yuechen Jiang +8

Financial misinformation poses significant threats to financial market stability and individuals' investment decisions. The multilingual environment and the inherent complexity of…

cs.AI2026

FinTrace: Holistic Trajectory-Level Evaluation of LLM Tool Calling for Long-Horizon Financial Tasks

Yupeng Cao, Haohang Li, Weijin Liu +11

Recent studies demonstrate that tool-calling capability enables large language models (LLMs) to interact with external environments for long-horizon financial tasks. While existing…

cs.CL2025

Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Jimin Huang, Mengxi Xiao, Dong Li +41

Financial LLMs hold promise for advancing financial tasks and domain-specific applications. However, they are limited by scarce corpora, weak multimodal capabilities, and narrow ev…