Cover Image

Select, Hypothesize and Verify: Towards Verified Neuron Concept Interpretation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ji, ZeBin, Hu, Yang, Bi, Xiuli, Liu, Bo, Xiao, Bin
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Clear Nights Ahead: Towards Multi-Weather Nighttime Image Restoration
by: Liu, Yuetong, et al.
Published: (2025)

TGDD: Trajectory Guided Dataset Distillation with Balanced Distribution
by: Ran, Fengli, et al.
Published: (2025)

ZeroPur: Succinct Training-Free Adversarial Purification
by: Liu, Erhu, et al.
Published: (2024)

SSR: Semantic and Spatial Rectification for CLIP-based Weakly Supervised Segmentation
by: Bi, Xiuli, et al.
Published: (2025)

Combating Pattern and Content Bias: Adversarial Feature Learning for Generalized AI-Generated Image Detection
by: Zhang, Haifeng, et al.
Published: (2026)

Leveraging Arbitrary Data Sources for AI-Generated Image Detection Without Sacrificing Generalization
by: He, Qinghui, et al.
Published: (2026)

CustomTTT: Motion and Appearance Customized Video Generation via Test-Time Training
by: Bi, Xiuli, et al.
Published: (2024)

Mobius: Text to Seamless Looping Video Generation via Latent Shift
by: Bi, Xiuli, et al.
Published: (2025)

Evidence-Based Actor-Verifier Reasoning for Echocardiographic Agents
by: Huang, Peng, et al.
Published: (2026)

Action Draft and Verify: A Self-Verifying Framework for Vision-Language-Action Model
by: Zhao, Chen, et al.
Published: (2026)

Towards Universal Video MLLMs with Attribute-Structured and Quality-Verified Instructions
by: Li, Yunheng, et al.
Published: (2026)

AgriChain Visually Grounded Expert Verified Reasoning for Interpretable Agricultural Vision Language Models
by: Mahmood, Hazza, et al.
Published: (2026)

Towards Interpretable Hallucination Analysis and Mitigation in LVLMs via Contrastive Neuron Steering
by: Lyu, Guangtao, et al.
Published: (2026)

Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain
by: Kim, Hyeon Bae, et al.
Published: (2024)

Imagine, Verify, Execute: Memory-guided Agentic Exploration with Vision-Language Models
by: Lee, Seungjae, et al.
Published: (2025)

CHASE: Competing Hypotheses for Ambiguity-Aware Selective Prediction
by: Jhawar, Kartik, et al.
Published: (2026)

AeSlides: Incentivizing Aesthetic Layout in LLM-Based Slide Generation via Verifiable Rewards
by: Pan, Yiming, et al.
Published: (2026)

Wan-R1: Verifiable-Reinforcement Learning for Video Reasoning
by: Liu, Ming, et al.
Published: (2026)

Molecular Identifier Visual Prompt and Verifiable Reinforcement Learning for Chemical Reaction Diagram Parsing
by: Song, Jiahe, et al.
Published: (2026)

From Concepts to Judgments: Interpretable Image Aesthetic Assessment
by: Liu, Xiao-Chang, et al.
Published: (2026)

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking
by: Deng, Kaiyuan, et al.
Published: (2026)

Leveraging Verifier-Based Reinforcement Learning in Image Editing
by: Guo, Hanzhong, et al.
Published: (2026)

Video Models Can Reason with Verifiable Rewards
by: Zhu, Tinghui, et al.
Published: (2026)

When Detectors Forget Forensics: Blocking Semantic Shortcuts for Generalizable AI-Generated Image Detection
by: Shuai, Chao, et al.
Published: (2026)

GameWorld: Towards Standardized and Verifiable Evaluation of Multimodal Game Agents
by: Ouyang, Mingyu, et al.
Published: (2026)

Taming Object Hallucinations with Verified Atomic Confidence Estimation
by: Liu, Jiarui, et al.
Published: (2025)

Taming Camera-Controlled Video Generation with Verifiable Geometry Reward
by: Wang, Zhaoqing, et al.
Published: (2025)

LangMap: A Human-Verified Benchmark for Hierarchical Open-Vocabulary Goal Navigation
by: Miao, Bo, et al.
Published: (2026)

Adaptive Detector-Verifier Framework for Zero-Shot Polyp Detection in Open-World Settings
by: Xu, Shengkai, et al.
Published: (2025)

TapSampling: Inference-Time Sampling with a Task-Progress-Understanding Verifier for Robotic Manipulation
by: Zhao, Sizhe, et al.
Published: (2026)

dMLLM-TTS: Self-Verified and Efficient Test-Time Scaling for Diffusion Multi-Modal Large Language Models
by: Xin, Yi, et al.
Published: (2025)

EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis
by: Tan, Shuai, et al.
Published: (2024)

A Case Study on Concept Induction for Neuron-Level Interpretability in CNN
by: Sarma, Moumita Sen, et al.
Published: (2026)

WWW: A Unified Framework for Explaining What, Where and Why of Neural Networks by Interpretation of Neuron Concepts
by: Ahn, Yong Hyun, et al.
Published: (2024)

Bridging Visual Representation and Reinforcement Learning from Verifiable Rewards in Large Vision-Language Models
by: Han, Yuhang, et al.
Published: (2026)

Generative Universal Verifier as Multimodal Meta-Reasoner
by: Zhang, Xinchen, et al.
Published: (2025)

DocScope: Benchmarking Verifiable Reasoning for Trustworthy Long-Document Understanding
by: Feng, Xiang, et al.
Published: (2026)

Real-World Point Tracking with Verifier-Guided Pseudo-Labeling
by: Aydemir, Görkay, et al.
Published: (2026)

EgoVITA: Learning to Plan and Verify for Egocentric Video Reasoning
by: Kulkarni, Yogesh, et al.
Published: (2025)

DAVE -- A Detect-and-Verify Paradigm for Low-Shot Counting
by: Pelhan, Jer, et al.
Published: (2024)