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Kunsheng Tang

2 accepted papers

2026

REVIS: Sparse Latent Steering to Mitigate Object Hallucination in Large Vision-Language Models

ICML 2026poster

Despite the advanced capabilities of Large Vision-Language Models (LVLMs), they frequently suffer from object hallucination. One reason is that visual features and pretrained textual representations often become intertwined in the deeper network layers. To address this, we propose REVIS, a training-…

Cited by 0SourceScholar
2025

FinRipple: Aligning Large Language Models with Financial Market for Event Ripple Effect Awareness

ACL 2025finding

Financial markets exhibit complex dynamics where localized events trigger ripple effects across entities. Previous event studies, constrained by static single-companies analyses and simplistic assumptions, fail to capture these ripple effects. While large language models (LLMs) offer emergent reason…

Cited by 0SourcePDFScholar