works on

From the 1 of 8 linked papers with an AI index.

activity
20242026
collaborators

8 papers

cs.CV2026

Beyond Chain-of-Thought: Rewrite as a Universal Interface for Generative Multimodal Embeddings

Peixi Wu, Ke Mei, Feipeng Ma +15

The paper introduces RIME, a rewrite-driven framework that improves multimodal embeddings by jointly optimizing generation and retrieval-friendly rewriting, aligning generative and…

cs.CL2026

Towards Fine-Grained Code-Switch Speech Translation with Semantic Space Alignment

Yan Gao, Yazheng Yang, Zhibin Lan +5

Code-switching (CS) speech translation (ST) aims to translate speech that alternates between multiple languages into a target language text, posing significant challenges due to th…

cs.CV2026

Countering the Over-Reliance Trap: Mitigating Object Hallucination for LVLMs via a Self-Validation Framework

Shiyu Liu, Xinyi Wen, Zhibin Lan +2

Despite progress in Large Vision Language Models (LVLMs), object hallucination remains a critical issue in image captioning task, where models generate descriptions of non-existent…

cs.LG2026

UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings

Zhibin Lan, Liqiang Niu, Fandong Meng +2

The remarkable success of multimodal large language models (MLLMs) has driven advances in multimodal embeddings, yet existing models remain inherently discriminative, limiting thei…

cs.CV2026

LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning

Zhibin Lan, Liqiang Niu, Fandong Meng +2

Universal multimodal embedding models play a critical role in tasks such as interleaved image-text retrieval, multimodal RAG, and multimodal clustering. However, our empirical resu…

cs.CV2025

PATIMT-Bench: A Multi-Scenario Benchmark for Position-Aware Text Image Machine Translation in Large Vision-Language Models

Wanru Zhuang, Wenbo Li, Zhibin Lan +3

Text Image Machine Translation (TIMT) aims to translate texts embedded within an image into another language. Current TIMT studies primarily focus on providing translations for all…