:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Peng, Shen, Haozhan, Fang, Chunxin, Sun, Zhicheng, Liao, Jiajia, Zhao, Tiancheng
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Computation and Language
Online Access:	https://arxiv.org/abs/2509.25916
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
by: Shen, Haozhan, et al.
Published: (2025)

Unifying Language Agent Algorithms with Graph-based Orchestration Engine for Reproducible Agent Research
by: Zhang, Qianqian, et al.
Published: (2025)

OmChat: A Recipe to Train Multimodal Language Models with Strong Long Context and Video Understanding
by: Zhao, Tiancheng, et al.
Published: (2024)

Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs
by: Shen, Yifan, et al.
Published: (2025)

VLMs-in-the-Wild: Bridging the Gap Between Academic Benchmarks and Enterprise Reality
by: Bandraupalli, Srihari, et al.
Published: (2025)

GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning
by: Chen, Guizhen, et al.
Published: (2025)

Talking to Yourself: Defying Forgetting in Large Language Models
by: Sun, Yutao, et al.
Published: (2026)

CropVLM: Learning to Zoom for Fine-Grained Vision-Language Perception
by: Carvalho, Miguel, et al.
Published: (2025)

Which Pretraining Paradigm Better Serves Spatial Intelligence? An Empirical Comparison of Vision-Language and Video Generation Models
by: Shen, Haozhan, et al.
Published: (2026)

ActMem: Bridging the Gap Between Memory Retrieval and Reasoning in LLM Agents
by: Zhang, Xiaohui, et al.
Published: (2026)

Decompose, Look, and Reason: Reinforced Latent Reasoning for VLMs
by: Zhu, Mengdan, et al.
Published: (2026)

Fine-Grained and Multi-Dimensional Metrics for Document-Level Machine Translation
by: Sun, Yirong, et al.
Published: (2024)

SPARC: Separating Perception And Reasoning Circuits for Test-time Scaling of VLMs
by: Avogaro, Niccolo, et al.
Published: (2026)

ASPO: Adaptive Sentence-Level Preference Optimization for Fine-Grained Multimodal Reasoning
by: Wang, Yeyuan, et al.
Published: (2025)

On the Perception Bottleneck of VLMs for Chart Understanding
by: Liu, Junteng, et al.
Published: (2025)

BabyVLM: Data-Efficient Pretraining of VLMs Inspired by Infant Learning
by: Wang, Shengao, et al.
Published: (2025)

Bridging the Arithmetic Gap: The Cognitive Complexity Benchmark and Financial-PoT for Robust Financial Reasoning
by: Zhao, Boxiang, et al.
Published: (2026)

Awakening LLMs' Reasoning Potential: A Fine-Grained Pipeline to Evaluate and Mitigate Vague Perception
by: Ling, Zipeng, et al.
Published: (2025)

S2J: Bridging the Gap Between Solving and Judging Ability in Generative Reward Models
by: Sun, Shaoning, et al.
Published: (2025)

Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning
by: Zhang, Di, et al.
Published: (2024)

Reassessing the Role of Supervised Fine-Tuning: An Empirical Study in VLM Reasoning
by: Yu, Yongcan, et al.
Published: (2025)

Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning
by: Yang, Zhaorui, et al.
Published: (2024)

OmDet: Large-scale vision-language multi-dataset pre-training with multimodal detection network
by: Zhao, Tiancheng, et al.
Published: (2022)

Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap
by: Ko, Hyunwoo, et al.
Published: (2025)

Medchain: Bridging the Gap Between LLM Agents and Clinical Practice with Interactive Sequence
by: Liu, Jie, et al.
Published: (2024)

Fine-Grained Self-Endorsement Improves Factuality and Reasoning
by: Wang, Ante, et al.
Published: (2024)

Systematic Reward Gap Optimization for Mitigating VLM Hallucinations
by: He, Lehan, et al.
Published: (2024)

Understanding and Rectifying Safety Perception Distortion in VLMs
by: Zou, Xiaohan, et al.
Published: (2025)

Verifiable Generation with Subsentence-Level Fine-Grained Citations
by: Cao, Shuyang, et al.
Published: (2024)

Say One Thing, Do Another? Diagnosing Reasoning-Execution Gaps in VLM-Powered Mobile-Use Agents
by: Dong, Lingzhong, et al.
Published: (2025)

Bridging the Editing Gap in LLMs: FineEdit for Precise and Targeted Text Modifications
by: Zeng, Yiming, et al.
Published: (2025)

Beyond LoRA vs. Full Fine-Tuning: Gradient-Guided Optimizer Routing for LLM Adaptation
by: Tang, Haozhan, et al.
Published: (2026)

[De|Re]constructing VLMs' Reasoning in Counting
by: Alghisi, Simone, et al.
Published: (2025)

ReviewAgents: Bridging the Gap Between Human and AI-Generated Paper Reviews
by: Gao, Xian, et al.
Published: (2025)

Writing-Zero: Bridge the Gap Between Non-verifiable Tasks and Verifiable Rewards
by: Jia, Ruipeng, et al.
Published: (2025)

Integrating Fine-Grained Audio-Visual Evidence for Robust Multimodal Emotion Reasoning
by: Zhao, Zhixian, et al.
Published: (2026)

Improving Brain-to-Image Reconstruction via Fine-Grained Text Bridging
by: Xia, Runze, et al.
Published: (2025)

VLM2-Bench: A Closer Look at How Well VLMs Implicitly Link Explicit Matching Visual Cues
by: Zhang, Jianshu, et al.
Published: (2025)

KG-RAG: Bridging the Gap Between Knowledge and Creativity
by: Sanmartin, Diego
Published: (2024)

Bridging the Gap Between Preference Alignment and Machine Unlearning
by: Feng, Xiaohua, et al.
Published: (2025)