Papers
41 papers found
HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models
Young D. Kwon, Rui Li, Sijia Li et al.
Self-SoftCoT: A Self-Consistent Framework via Position-Aware Latent Space Reinforcement Learning
Liangliang Dong, Lianlei Shan, Shuaimin Li
Spatial Matters: Position-Guided 3D Referring Expression Segmentation
Yabing Wang, Zhuotao Tian, Le Wang et al.
PositionIC: Unified Position and Identity Consistency for Image Customization
Junjie Hu, Tianyang Han, Kai Ma et al.
FocusUI: Efficient UI Grounding via Position-Preserving Visual Token Selection
Mingyu Ouyang, Kevin Qinghong Lin, Mike Zheng Shou et al.
ReFACT: A Benchmark for Scientific Confabulation Detection with Positional Error Annotations
Yindong Wang, Martin Preiß, Margarita Bugueño et al.
Position Paper: How Should We Responsibly Adopt LLMs in the Peer Review Process?
Juhwan Choi, JungMin Yun, Changhun Kim et al.
Bias in the Ear of the Listener: Assessing Sensitivity in Audio Language Models Across Linguistic, Demographic, and Positional Variations
Sheng-Lun Wei, Yu-Ling Liao, Yen-Hua Chang et al.
Can Calibration of Positional Encodings Enhance Long Context Utilization?
Tom Zehle, Matthias Aßenmacher
Position Encoding with Random Float Sampling Enhances Length Generalization of Transformers
Atsushi Shimizu, Shohei Taniguchi, Yutaka Matsuo
Position: Biomedical NLP Demands Specialization, Not Generalization
Azmine Toushik Wasi
A Position Paper on Toxic Reasoning: Grounding Categories of Toxic Language in Implications and Attitudes
Stefan F. Schouten, Ilia Markov, Piek Vossen
Where to Start Alignment? Diffusion Large Language Model May Demand a Distinct Position
Zhixin Xie, Xurui Song, Jun Luo
Boosting Resolution Generalization of Diffusion Transformers with Randomized Positional Encodings
Liang Hou, Cong Liu, Mingwu Zheng et al.
DAPE: Harmonizing Content-Position Encoding for Versatile Dense Visual Prediction
Xiuquan Hou, Meiqin Liu, Senlin Zhang et al.
PosPrune: Visual Token Pruning with Positional Bias Correction for Efficient Large Vision-Language Models
Ziyang Wang, Mengwei Li, Hao Yin et al.
FQ-PETR: Fully Quantized Position Embedding Transformation for Multi-View 3D Object Detection
Jiangyong Yu, Changyong Shu, Sifan Zhou et al.
Exploring Position Encoding Mechanism in Diffusion U-Net for Training-free High-resolution Image Generation
Feng Zhou, Pu Cao, Yiyang Ma et al.
Position Fair Mechanisms Allocating Indivisible Goods
Ryoga Mahara, Ryuhei Mizutani, Taihei Oki et al.
Tab-PET: Graph-Based Positional Encodings for Tabular Transformers
Yunze Leng, Rohan Ghosh, Mehul Motani
Positional Bias in Multimodal Embedding Models: Do They Favor the Beginning, the Middle, or the End?
Kebin Wu, Fatima Albreiki
Embracing Positional Bias in Multiple-Choice Question Answering via Permutation Equivariant Neural Networks
Chengyu Jiao, Siyin Huang, Yu Zhang
Positional Cognitive Specialization: Where Do LLMs Learn to Comprehend and Speak Your Language?
Luis Frentzen Salim, Lun-Wei Ku, Hsing-Kuo Kenneth Pao
Placing Any Object at Any 3D Position
Junhao Zhang, Ming Kong, Zhanbin Hu et al.