Papers
Misclassification-Aware Robust Learning from Multiple Human Labelers (Student Abstract)
Zuoyuehe Wang, Chicheng Ma, Pengpeng Chen et al.
MISF: MLLM Guided Iterative Sample Filtering for Data Fault Detection
Guoying Chen, Ruizhuo Zhao, Zhewei Xu et al.
MIST: Multilingual Incidental Dataset for Scene Text Detection
Saumya Mundra, Ajoy Mondal, C.V. Jawahar
Mitigating Backdoor Attacks via Trigger Reconstruction and Model Hardening
Guanhong Tao, Siyuan Cheng, Guangyu Shen et al.
Mitigating Causal Bias in LLMs via Potential Outcomes Framework and Actual Causality Theory
Yiheng Zhao, Yuanliang Li, Shreya Savant et al.
Mitigating Content Effects on Reasoning in Language Models Through Fine-Grained Activation Steering
Marco Valentino, Geonhee Kim, Dhairya Dalal et al.
Mitigating Copy Bias in In-Context Learning through Neuron Pruning
Ameen Ali Ali, Lior Wolf, Ivan Titov
Mitigating Degree Bias in Hypergraphs via Attribute-as-Structure Approach
Ryusei Nishide, Makoto Miwa
Mitigating Endogenous Confirmation Bias in Noisy Label Learning for Vision-Language Models
Feiyang Ning, Xinyang Chen
Mitigating Entity Hallucinations in 3D Radiology Report Generation via Dual-Stream Alignment
Lingyu Zhou, Yue Yu, Zhang Yi et al.
Mitigating Error Accumulation in Co-Speech Motion Generation via Global Rotation Diffusion and Multi-Level Constraints
Xiangyue Zhang, Jianfang Li, Jianqiang Ren et al.
Mitigating Error Accumulation in Knowledge Editing for Multi-Hop Question Answering
Jiaxin Guo, Hao Sun, Wenhao Zhang et al.
Mitigating Hallucinations in Large Language Models via Causal Reasoning
Yuangang Li, Yiqing Shen, Yi Nian et al.
Mitigating Length Bias in RLHF Through a Causal Lens
Hyeonji Kim, Sujeong Oh, Sanghack Lee
Mitigating Low-Quality Reasoning in MLLMs: Self-Driven Refined Multimodal CoT with Selective Thinking and Step-wise Visual Enhancement
Chongjun Tu, Peng Ye, Dongzhan Zhou et al.
Mitigating Negative Flips via Margin Preserving Training
Simone Ricci, Niccolò Biondi, Federico Pernici et al.
Mitigating Noise and Imbalance in Social Governance Graphs for Multi-Type Risk Assessment
Di Jin, Haotian Zhao, Xiaobao Wang et al.
Mitigating Object and Action Hallucinations in Multimodal LLMs via Self-Augmented Contrastive Alignment
Kai-Po Chang, Wei-Yuan Cheng, Chi-Pin Huang et al.
Mitigating Perception Bias: A Training-Free Approach to Enhance LMM for Image Quality Assessment
Baoliang Chen, Siyi Pan, Dongxu Wu et al.
Mitigating Self-Preference by Authorship Obfuscation
Taslim Mahbub, Shi Feng
Mitigating the Modality Gap: Few-Shot Out-of-Distribution Detection with Multi-modal Prototypes and Image Bias Estimation
Yimu Wang, Evelien Riddell, Adrian Chow et al.
MIX-based Foreground and Background Patch Augmentation Guided by Physics and Material Properties for X-ray Detection
Xintong Liu, Dongliang Chang, Yujun Tong et al.
Mixed Diffusion for 3D Indoor Scene Synthesis
Siyi Hu, Diego Martín Arroyo, Stephanie Debats et al.
MixER: From Cross-Modal to Mixed-Modal Visible-Infrared Re-Identification
Mahdi Alehdaghi, Rajarshi Bhattacharya, Dai Yannick et al.
Mix-QSAM2: Mixed-Precision Quantization for High Fidelity Segmentation in Resource Constrained Scenarios
Yuzhe Duan, Xuanxuan Ren, Guizhe Dong et al.