Saved in:
| Main Authors: | Chen, Xinrong, Chu, Xu, Qiu, Yingmin, Zhang, Hengyuan, Xiong, Jing, Tang, Shiyu, Liu, Shuai, Yang, Shaokang, Yang, Cheng, So, Hayden Kwok-Hay, Wong, Ngai |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.01047 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GuiLoMo: Allocating Expert Number and Rank for LoRA-MoE via Bilevel Optimization with GuidedSelection Vectors
by: Zhang, Hengyuan, et al.
Published: (2025)
by: Zhang, Hengyuan, et al.
Published: (2025)
Beyond Outliers: A Data-Free Layer-wise Mixed-Precision Quantization Approach Driven by Numerical and Structural Dual-Sensitivity
by: Zhang, Hengyuan, et al.
Published: (2026)
by: Zhang, Hengyuan, et al.
Published: (2026)
Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation
by: Zhang, Hengyuan, et al.
Published: (2025)
by: Zhang, Hengyuan, et al.
Published: (2025)
TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review
by: Chang, Yuan, et al.
Published: (2025)
by: Chang, Yuan, et al.
Published: (2025)
A Composable Dynamic Sparse Dataflow Architecture for Efficient Event-based Vision Processing on FPGA
by: Gao, Yizhao, et al.
Published: (2024)
by: Gao, Yizhao, et al.
Published: (2024)
Co-designing a Sub-millisecond Latency Event-based Eye Tracking System with Submanifold Sparse CNN
by: Zhang, Baoheng, et al.
Published: (2024)
by: Zhang, Baoheng, et al.
Published: (2024)
Incremental Residual Concept Bottleneck Models
by: Shang, Chenming, et al.
Published: (2024)
by: Shang, Chenming, et al.
Published: (2024)
SpikeMOT: Event-based Multi-Object Tracking with Sparse Motion Features
by: Wang, Song, et al.
Published: (2023)
by: Wang, Song, et al.
Published: (2023)
DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference
by: Zhou, Jiajun, et al.
Published: (2023)
by: Zhou, Jiajun, et al.
Published: (2023)
Adaptive Residual-Update Steering for Low-Overhead Hallucination Mitigation in Large Vision Language Models
by: Zou, Zhengtao, et al.
Published: (2025)
by: Zou, Zhengtao, et al.
Published: (2025)
Lifecycle Cost-Effectiveness Modeling for Redundancy-Enhanced Multi-Chiplet Architectures
by: Liu, Zizhen, et al.
Published: (2026)
by: Liu, Zizhen, et al.
Published: (2026)
INTER: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling
by: Dong, Xin, et al.
Published: (2025)
by: Dong, Xin, et al.
Published: (2025)
TATAA: Programmable Mixed-Precision Transformer Acceleration with a Transformable Arithmetic Architecture
by: Wu, Jiajun, et al.
Published: (2024)
by: Wu, Jiajun, et al.
Published: (2024)
Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding
by: Wang, Chao, et al.
Published: (2025)
by: Wang, Chao, et al.
Published: (2025)
SAVER: Mitigating Hallucinations in Large Vision-Language Models via Style-Aware Visual Early Revision
by: Li, Zhaoxu, et al.
Published: (2025)
by: Li, Zhaoxu, et al.
Published: (2025)
CodeComp: Structural KV Cache Compression for Agentic Coding
by: Chen, Qiujiang, et al.
Published: (2026)
by: Chen, Qiujiang, et al.
Published: (2026)
SAGE: Sink-Aware Grounded Decoding for Multimodal Hallucination Mitigation
by: Shukla, Tripti, et al.
Published: (2026)
by: Shukla, Tripti, et al.
Published: (2026)
SAKED: Mitigating Hallucination in Large Vision-Language Models via Stability-Aware Knowledge Enhanced Decoding
by: Li, Zhaoxu, et al.
Published: (2026)
by: Li, Zhaoxu, et al.
Published: (2026)
Efficient Contrastive Decoding with Probabilistic Hallucination Detection - Mitigating Hallucinations in Large Vision Language Models -
by: Fieback, Laura, et al.
Published: (2025)
by: Fieback, Laura, et al.
Published: (2025)
First Logit Boosting: Visual Grounding Method to Mitigate Object Hallucination in Large Vision-Language Models
by: Ha, Jiwoo, et al.
Published: (2026)
by: Ha, Jiwoo, et al.
Published: (2026)
D-QRELO: Training- and Data-Free Delta Compression for Large Language Models via Quantization and Residual Low-Rank Approximation
by: Li, Junlin, et al.
Published: (2026)
by: Li, Junlin, et al.
Published: (2026)
Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding
by: Wang, Xintong, et al.
Published: (2024)
by: Wang, Xintong, et al.
Published: (2024)
Thinking in Uncertainty: Mitigating Hallucinations in MLRMs with Latent Entropy-Aware Decoding
by: Xu, Zhongxing, et al.
Published: (2026)
by: Xu, Zhongxing, et al.
Published: (2026)
Mitigating Diffusion Model Hallucinations with Dynamic Guidance
by: Triaridis, Kostas, et al.
Published: (2025)
by: Triaridis, Kostas, et al.
Published: (2025)
Fully Integrated Memristive Spiking Neural Network with Analog Neurons for High-Speed Event-Based Data Processing
by: Wang, Zhu, et al.
Published: (2025)
by: Wang, Zhu, et al.
Published: (2025)
MaskCD: Mitigating LVLM Hallucinations by Image Head Masked Contrastive Decoding
by: Deng, Jingyuan, et al.
Published: (2025)
by: Deng, Jingyuan, et al.
Published: (2025)
Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance
by: Zhao, Linxi, et al.
Published: (2024)
by: Zhao, Linxi, et al.
Published: (2024)
Mitigating Object Hallucinations in Vision-Language Models through Region-Aware Attention Recalibration
by: Xu, Yuanzhi, et al.
Published: (2026)
by: Xu, Yuanzhi, et al.
Published: (2026)
Residual-Mass Accounting for Partial-KV Decoding
by: Hoshi, Yasuto, et al.
Published: (2026)
by: Hoshi, Yasuto, et al.
Published: (2026)
Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
by: Min, Kyungmin, et al.
Published: (2024)
by: Min, Kyungmin, et al.
Published: (2024)
Delve into Visual Contrastive Decoding for Hallucination Mitigation of Large Vision-Language Models
by: Lee, Yi-Lun, et al.
Published: (2024)
by: Lee, Yi-Lun, et al.
Published: (2024)
SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs
by: Gao, Yizhao, et al.
Published: (2024)
by: Gao, Yizhao, et al.
Published: (2024)
Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models
by: Chen, Xinlong, et al.
Published: (2025)
by: Chen, Xinlong, et al.
Published: (2025)
Cooperative Advisory Residual Policies for Congestion Mitigation
by: Hasan, Aamir, et al.
Published: (2024)
by: Hasan, Aamir, et al.
Published: (2024)
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation
by: Jia, Sihang, et al.
Published: (2026)
by: Jia, Sihang, et al.
Published: (2026)
MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction
by: Wang, Chao, et al.
Published: (2025)
by: Wang, Chao, et al.
Published: (2025)
MRFD: Multi-Region Fusion Decoding with Self-Consistency for Mitigating Hallucinations in LVLMs
by: Ge, Haonan, et al.
Published: (2025)
by: Ge, Haonan, et al.
Published: (2025)
Attention Sink in Transformers: A Survey on Utilization, Interpretation, and Mitigation
by: Su, Zunhai, et al.
Published: (2026)
by: Su, Zunhai, et al.
Published: (2026)
Robust Input Shaping Vibration Control via Extended Kalman Filter-Incorporated Residual Neural Network
by: Yang, Weiyi, et al.
Published: (2024)
by: Yang, Weiyi, et al.
Published: (2024)
Energy-Guided Decoding for Object Hallucination Mitigation
by: Liu, Xixi, et al.
Published: (2025)
by: Liu, Xixi, et al.
Published: (2025)
Similar Items
-
GuiLoMo: Allocating Expert Number and Rank for LoRA-MoE via Bilevel Optimization with GuidedSelection Vectors
by: Zhang, Hengyuan, et al.
Published: (2025) -
Beyond Outliers: A Data-Free Layer-wise Mixed-Precision Quantization Approach Driven by Numerical and Structural Dual-Sensitivity
by: Zhang, Hengyuan, et al.
Published: (2026) -
Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation
by: Zhang, Hengyuan, et al.
Published: (2025) -
TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review
by: Chang, Yuan, et al.
Published: (2025) -
A Composable Dynamic Sparse Dataflow Architecture for Efficient Event-based Vision Processing on FPGA
by: Gao, Yizhao, et al.
Published: (2024)