Papers
176,624 papers found
SED-SFT: Selectively Encouraging Diversity in Supervised Fine-Tuning
Yijie Chen, Yijin Liu, Fandong Meng
See2Refine: Vision-Language Feedback Improves LLM-Based eHMI Action Designers
Ding Xia, Xinyue Gui, Mark Colley et al.
SEED: Spectral Entropy-Guided Evaluation of Spatial-Temporal Dependencies for Multivariate Time Series Forecasting
Feng Xiong, Zongxia Xie, Yanru Sun et al.
Seeing All Sides: Multi-Perspective In-Context Learning for Subjective NLP
Benedetta Muscato, Yue Li, Gizem Gezici et al.
Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning
Hongkuan Zhou, Lavdim Halilaj, Sebastian Monka et al.
Seeing Beyond Illusion: Generalized and Efficient Mirror Detection
Mingfeng Zha, Guoqing Wang, Tianyu Li et al.
Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts
Haolei Xu, Haiwen Hong, Hongxing Li et al.
Seeing Down the Line: Endoscopic Reconstruction with Centerline Constraints
Andrea Dunn Beltran, Romain Hardy, Pranav Rajpurkar
Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs
Chun-Hsiao Yeh, Chenyu Wang, Shengbang Tong et al.
Seeing in Double: Dual-Granularity BEV Segmentation via Mamba-Driven Alignment and Polar-Decoupled Experts
Jiaxin Cai, Rui Lin, Jingze Su et al.
Seeing is Believing (and Predicting): Context-Aware Multi-Human Behavior Prediction with Vision Language Models
Utsav Panchal, Yuchen Liu, Luigi Palmieri et al.
Seeing Is Believing: Grounding Long-Video Understanding in Spatio-Temporal Visual Evidence
Zhaoyang Wei, Guoliang Wang, Guohua Gao et al.
Seeing Is Believing: Rich-Context Hallucination Detection for MLLMs via Backward Visual Grounding
Pinxue Guo, Chongruo Wu, Xinyu Zhou et al.
Seeing No Evil: Blinding Large Vision-Language Models to Safety Instructions via Adversarial Attention Hijacking
Jingru Li, Wei Ren, Tianqing Zhu
Seeing the Unseen: Zooming in the Dark with Event Cameras
Dachun Kai, Zeyu Xiao, Huyue Zhu et al.
Seeing the Whole Elephant: A Benchmark for Failure Attribution in LLM-based Multi-Agent Systems
Mengzhuo Chen, Junjie Wang, Fangwen Mu et al.
Seeing through the Conflict: Transparent Knowledge Conflict Handling in Retrieval-Augmented Generation
Hua Ye, Siyuan Chen, Ziqi Zhong et al.
Seeing Through the Rain: Resolving High-Frequency Conflicts in Deraining and Super-Resolution via Diffusion Guidance
Wenjie Li, Jinglei Shi, Jin Han et al.
Seeing Words Differently: Visual Embeddings for Robust English-Arabic Machine Translation
Mahdi Alshaikh Saleh, Irfan Ahmad
See More, Store Less: Memory-Efficient Resolution for Video Moment Retrieval
Mingyu Jeon, Sungjin Han, Jinkwon Hwang et al.
See, Record, Do: Automated Generation of UI Workflows from Tutorial Videos
Adam Beauchaine, Craig Shue
SEE: Signal Embedding Energy for Quantifying Noise Interference in Large Audio Language Models
Yuanhe Zhang, Jiayu Tian, Yibo Zhang et al.
See the Forest for the Trees: Loosely Speculative Decoding via Visual-Semantic Guidance for Efficient Inference of Video LLMs
Yicheng Ji, Jun Zhang, Jinpeng Chen et al.
See, Think, Learn: A Self-Taught Multimodal Reasoner
Sourabh Sharma, Sonam Gupta, Sadbhawna Sadbhawna