See Less, See Right: Bi-directional Perceptual Shaping For Multimodal Reasoning
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhang, Shuoshuo, Zhang, Yizhen, Fu, Jingjing, Song, Lei, Bian, Jiang, Yang, Yujiu, Wang, Rui |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
PixelCraft: A Multi-Agent System for High-Fidelity Visual Reasoning on Structured Images
por: Zhang, Shuoshuo, et al.
Publicado: (2025)
por: Zhang, Shuoshuo, et al.
Publicado: (2025)
Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data
por: Li, Zijian, et al.
Publicado: (2025)
por: Li, Zijian, et al.
Publicado: (2025)
More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models
por: Liu, Chengzhi, et al.
Publicado: (2025)
por: Liu, Chengzhi, et al.
Publicado: (2025)
PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning
por: Zhang, Yizhen, et al.
Publicado: (2025)
por: Zhang, Yizhen, et al.
Publicado: (2025)
OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval
por: Yang, Wei, et al.
Publicado: (2025)
por: Yang, Wei, et al.
Publicado: (2025)
VideoZoomer: Reinforcement-Learned Temporal Focusing for Long Video Reasoning
por: Ding, Yang, et al.
Publicado: (2025)
por: Ding, Yang, et al.
Publicado: (2025)
See It, Say It, Sorted: An Iterative Training-Free Framework for Visually-Grounded Multimodal Reasoning in LVLMs
por: Zhang, Yongchang, et al.
Publicado: (2026)
por: Zhang, Yongchang, et al.
Publicado: (2026)
See More, Change Less: Anatomy-Aware Diffusion for Contrast Enhancement
por: Liu, Junqi, et al.
Publicado: (2025)
por: Liu, Junqi, et al.
Publicado: (2025)
Do Vision Transformers See Like Humans? Evaluating their Perceptual Alignment
por: Hernández-Cámara, Pablo, et al.
Publicado: (2025)
por: Hernández-Cámara, Pablo, et al.
Publicado: (2025)
Think Twice to See More: Iterative Visual Reasoning in Medical VLMs
por: Chen, Kaitao, et al.
Publicado: (2025)
por: Chen, Kaitao, et al.
Publicado: (2025)
Language Models Can See Better: Visual Contrastive Decoding For LLM Multimodal Reasoning
por: Pang, Yuqi, et al.
Publicado: (2025)
por: Pang, Yuqi, et al.
Publicado: (2025)
Perceptual-Evidence Anchored Reinforced Learning for Multimodal Reasoning
por: Zhang, Chi, et al.
Publicado: (2025)
por: Zhang, Chi, et al.
Publicado: (2025)
Seeing More with Less: Video Capsule Endoscopy with Multi-Task Learning
por: Werner, Julia, et al.
Publicado: (2025)
por: Werner, Julia, et al.
Publicado: (2025)
Supervise Less, See More: Training-free Nuclear Instance Segmentation with Prototype-Guided Prompting
por: Zhang, Wen, et al.
Publicado: (2025)
por: Zhang, Wen, et al.
Publicado: (2025)
Seeing is Believing? Mitigating OCR Hallucinations in Multimodal Large Language Models
por: He, Zhentao, et al.
Publicado: (2025)
por: He, Zhentao, et al.
Publicado: (2025)
You Only Speak Once to See
por: Yang, Wenhao, et al.
Publicado: (2024)
por: Yang, Wenhao, et al.
Publicado: (2024)
Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory
por: Long, Lin, et al.
Publicado: (2025)
por: Long, Lin, et al.
Publicado: (2025)
See, Think, Learn: A Self-Taught Multimodal Reasoner
por: Sharma, Sourabh, et al.
Publicado: (2025)
por: Sharma, Sourabh, et al.
Publicado: (2025)
See More, Store Less: Memory-Efficient Resolution for Video Moment Retrieval
por: Jeon, Mingyu, et al.
Publicado: (2026)
por: Jeon, Mingyu, et al.
Publicado: (2026)
See Tomorrow, Act Today: Foresight-Driven Autonomous Driving
por: Zhang, Bozhou, et al.
Publicado: (2026)
por: Zhang, Bozhou, et al.
Publicado: (2026)
Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts
por: Xu, Haolei, et al.
Publicado: (2026)
por: Xu, Haolei, et al.
Publicado: (2026)
FrameOracle: Learning What to See and How Much to See in Videos
por: Li, Chaoyu, et al.
Publicado: (2025)
por: Li, Chaoyu, et al.
Publicado: (2025)
Seeing the Arrow of Time in Large Multimodal Models
por: Xue, Zihui, et al.
Publicado: (2025)
por: Xue, Zihui, et al.
Publicado: (2025)
Right this way: Can VLMs Guide Us to See More to Answer Questions?
por: Liu, Li, et al.
Publicado: (2024)
por: Liu, Li, et al.
Publicado: (2024)
Seeing Together: Multi-Robot Cooperative Egocentric Spatial Reasoning with Multimodal Large Language Models
por: Peng, Kunyu, et al.
Publicado: (2026)
por: Peng, Kunyu, et al.
Publicado: (2026)
Seeing Clearly without Training: Mitigating Hallucinations in Multimodal LLMs for Remote Sensing
por: Liu, Yi, et al.
Publicado: (2026)
por: Liu, Yi, et al.
Publicado: (2026)
Learning to See through Illumination Extremes with Event Streaming in Multimodal Large Language Models
por: Zhang, Baoheng, et al.
Publicado: (2026)
por: Zhang, Baoheng, et al.
Publicado: (2026)
Seeing Text in the Dark: Algorithm and Benchmark
por: Xu, Chengpei, et al.
Publicado: (2024)
por: Xu, Chengpei, et al.
Publicado: (2024)
SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
por: Wu, Rongyuan, et al.
Publicado: (2023)
por: Wu, Rongyuan, et al.
Publicado: (2023)
The Expense of Seeing: Attaining Trustworthy Multimodal Reasoning Within the Monolithic Paradigm
por: Goyal, Karan
Publicado: (2026)
por: Goyal, Karan
Publicado: (2026)
From Narrow to Panoramic Vision: Attention-Guided Cold-Start Reshapes Multimodal Reasoning
por: Luo, Ruilin, et al.
Publicado: (2026)
por: Luo, Ruilin, et al.
Publicado: (2026)
Multimodal LLMs See Sentiment
por: da Silva, Neemias B., et al.
Publicado: (2025)
por: da Silva, Neemias B., et al.
Publicado: (2025)
Seeing is not Believing: An Identity Hider for Human Vision Privacy Protection
por: Wang, Tao, et al.
Publicado: (2023)
por: Wang, Tao, et al.
Publicado: (2023)
Beyond Seeing: Evaluating Multimodal LLMs on Tool-Enabled Image Perception, Transformation, and Reasoning
por: Guo, Xingang, et al.
Publicado: (2025)
por: Guo, Xingang, et al.
Publicado: (2025)
Seeing Right but Saying Wrong: Inter- and Intra-Layer Refinement in MLLMs without Training
por: Song, Shezheng, et al.
Publicado: (2026)
por: Song, Shezheng, et al.
Publicado: (2026)
Diffusion Feedback Helps CLIP See Better
por: Wang, Wenxuan, et al.
Publicado: (2024)
por: Wang, Wenxuan, et al.
Publicado: (2024)
Learning More by Seeing Less: Structure First Learning for Efficient, Transferable, and Human-Aligned Vision
por: Li, Tianqin, et al.
Publicado: (2025)
por: Li, Tianqin, et al.
Publicado: (2025)
KAN See In the Dark
por: Ning, Aoxiang, et al.
Publicado: (2024)
por: Ning, Aoxiang, et al.
Publicado: (2024)
Learning to See in the Extremely Dark
por: Jiang, Hai, et al.
Publicado: (2025)
por: Jiang, Hai, et al.
Publicado: (2025)
Corvid: Improving Multimodal Large Language Models Towards Chain-of-Thought Reasoning
por: Jiang, Jingjing, et al.
Publicado: (2025)
por: Jiang, Jingjing, et al.
Publicado: (2025)
Ejemplares similares
-
PixelCraft: A Multi-Agent System for High-Fidelity Visual Reasoning on Structured Images
por: Zhang, Shuoshuo, et al.
Publicado: (2025) -
Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data
por: Li, Zijian, et al.
Publicado: (2025) -
More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models
por: Liu, Chengzhi, et al.
Publicado: (2025) -
PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning
por: Zhang, Yizhen, et al.
Publicado: (2025) -
OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval
por: Yang, Wei, et al.
Publicado: (2025)