Papers
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 Hallucinations in Large Vision-Language Models without Performance Degradation
Xingyu Zhu, Junfeng Fang, Shuo Wang et al.
Mitigating Legal Hallucinations via Symbolic Constraints and Analogical Precedents
Zixuan Huang, Yanxiang Ma, Luhan Wang et al.
Mitigating Length Bias in RLHF Through a Causal Lens
Hyeonji Kim, Sujeong Oh, Sanghack Lee
Mitigating Lost in Multi-turn Conversation via Curriculum RL with Verifiable Accuracy and Abstention Rewards
Ming Li, Pei Chen, Zhenhao Zhang et al.
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 Over-Refusal in Aligned Large Language Models via Inference-Time Activation Energy
Eric Hanchen Jiang, Weixuan Ou, Run Liu 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 Safety Context Amnesia in Multimodal Reasoning Models via Intent-Guided Safety Reasoning
Xiyao Dong, Guangsheng Cheng, YiLong Chen et al.
Mitigating Selection Bias in Large Language Models via Permutation-Aware GRPO
Jinquan Zheng, Jia Yuan, Jiacheng Yao et al.
Mitigating Self-Preference by Authorship Obfuscation
Taslim Mahbub, Shi Feng
Mitigating Spurious Correlations in Text Classification Using Latent Space Geometry
Jiasen Gao, Xiaoliang Chen, Duoqian Miao et al.
Mitigating Structural Knowledge Collapse in Domain-Specific LLMs via Morpheme-Aware KV-Aggregation
Yuxuan Si, Zheqi Lv, Chengxi Zang et al.
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.
Mitigating Tokenization-Induced Distance Distortion in Long-Context Multilingual Machine Translation
Khotso Selialia, Antoine Nzeyimana, Fatima M. Anwar
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.