Paper Papers
5,964 papers found • Page 35 of 120
Conference
Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models
Chutian Meng, Fan Ma, Jiaxu Miao et al.
Image-to-video Adaptation with Outlier Modeling and Robust Self-learning
Junbao Zhuo, Shuhui Wang, Zhenghan Chen et al.
Imagine All The Relevance: Scenario-Profiled Indexing with Knowledge Expansion for Dense Retrieval
Sangam Lee, Ryang Heo, SeongKu Kang et al.
Imagine: Image-Guided 3D Part Assembly with Structure Knowledge Graph
Weihao Wang, Yu Lan, Mingyu You et al.
Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection
Jiaqi Chen, Xiaoye Zhu, Tianyang Liu et al.
ImmerJM: A 3D Design Tool for Creating User Journey Maps based on Immersive Virtual Environments
Mingming Wang, Xiaoyu Zhang, Weiyue Gao et al.
Immersive Intergroup Contact: Using Virtual Reality to Enhance Empathy and Reduce Stigma Towards Schizophrenia
Jiaqi Yin, Shihan Liu, Shao-Wen Lee et al.
iMoT: Inertial Motion Transformer for Inertial Navigation
Son Minh Nguyen, Duc Viet Le, Paul Havinga
Impact-driven Context Filtering For Cross-file Code Completion
Yanzhou Li, Shangqing Liu, Kangjie Chen et al.
Impact of Avatar-Locomotion Congruence on User Experience and Identification in Virtual Reality
Omar Khan, Hyeongil Nam, Kangsoo Kim
Impact of LLM Alignment on Impression Formation in Social Interactions
Ala N. Tak, Anahita Bolourani, Daniel B. Shank et al.
Imperceptible 3D Point Cloud Attacks on Lattice-based Barycentric Coordinates
Keke Tang, Ziyong Du, Weilong Peng et al.
IMPersona: Evaluating Individual Level LLM Impersonation
Quan Shi, Carlos E Jimenez, Stephen Dong et al.
Implicit In-Context Learning: Evidence from Artificial Language Experiments
Xiaomeng Ma, Qihui Xu
Implicit Location-Caption Alignment via Complementary Masking for Weakly-Supervised Dense Video Captioning
Shiping Ge, Qiang Chen, Zhiwei Jiang et al.
Implicit Relative Labeling-Importance Aware Multi-Label Metric Learning
Jun-Xiang Mao, Yong Rui, Min-Ling Zhang
Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing
Zhuoran Li, Chunming Hu, Junfan Chen et al.
Importance Weighting Can Help Large Language Models Self-Improve
Chunyang Jiang, Chi-Min Chan, Wei Xue et al.
(Im)possibility of Automated Hallucination Detection in Large Language Models
Amin Karbasi, Omar Montasser, John Sous et al.
Improved Approximation Algorithms for Clustered TSP and Subgroup Planning
Jingyang Zhao, Mingyu Xiao, Junqiang Peng et al.
Improved Bounds for Online Facility Location with Predictions
Dimitris Fotakis, Evangelia Gergatsouli, Themistoklis Gouleakis et al.
Improved Fixed-Parameter Bounds for Min-Sum-Radii and Diameters k-Clustering and Their Fair Variants
Sandip Banerjee, Yair Bartal, Lee-Ad Gottlieb et al.
Improved Maximin Share Approximations for Chores by Bin Packing
Jugal Garg, Xin Huang, Erel Segal-Halevi
Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization
Ruijia Zhang, Mingxi Lei, Meng Ding et al.
Improved Regret Bounds for Online Fair Division with Bandit Learning
Benjamin Schiffer, Shirley Zhang
Improving Cancer Gene Prediction by Enhancing Common Information Between the PPI Network and Gene Functional Association
Chao Deng, Hongdong Li, Jianxin Wang
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning
Tianle Xia, Liang Ding, Guojia Wan et al.
Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy
Joseph Bills, Christopher Archibald, Diego Blaylock
Improving Deep Learning Speed and Performance Through Synaptic Neural Balance
Antonios Alexos, Ian Domingo, Pierre Baldi
Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators
Dingkang Yang, Dongling Xiao, Jinjie Wei et al.
Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update
Zikun Zhou, Wen Huang, Xingyi Wang et al.
Improving Fisher Information Estimation and Efficiency for LoRA-based LLM Unlearning
Yejin Kim, Eunwon Kim, Buru Chang et al.
Improving Generalization for AI-Synthesized Voice Detection
Hainan Ren, Li Lin, Chun-Hao Liu et al.
Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning
Da Wang, Lin Li, Wei Wei et al.
Improving Generalization of Deep Neural Networks by Optimum Shifting
Yuyan Zhou, Ye Li, Lei Feng et al.
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
Yechao Zhang, Yingzhe Xu, Junyu Shi et al.
Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path
Yuchen Ren, Zhengyu Zhao, Chenhao Lin et al.
Improving LLMs‘ Generalized Reasoning Abilities by Graph Problems
Qifan Zhang, Nuo Chen, Zehua Li et al.
Improving Mid-Air Sketching in Room-Scale Virtual Reality with Dynamic Color-to-Depth and Opacity Cues
Samantha Monty, Dennis Alexander Mevißen, Marc Erich Latoschik
Improving Model Probability Calibration by Integration of Large Data Sources with Biased Labels
Renat Sergazinov, Richard Chen, Cheng Ji et al.
Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation
Xovee Xu, Yifan Zhang, Fan Zhou et al.
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis
Lin Yuan, Jun Xu, Honghao Gui et al.
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks
Minh-Duc Nguyen, Phuong Mai Dinh, Quang-Huy Nguyen et al.
Improving Pointing Accuracy for 3D Target Selection in Virtual Reality through Depth Perception Biases Correction
Songyue Yang, Kang Yueh, Haolin Gao et al.
Improving Private Random Forest Prediction Using Matrix Representation
Arisa Tajima, Joie Wu, Amir Houmansadr
Improving Retrieval Augmented Language Model with Self-Reasoning
Yuan Xia, Jingbo Zhou, Zhenhui Shi et al.
Improving Table Understanding with LLMs and Entity-Oriented Search
Thi-Nhung Nguyen, Hoang Ngo, Dinh Phung et al.
Improving the Lower Bound in Branch-and-Bound Algorithms for MaxSAT
Shuolin Li, Chu-Min Li, Jordi Coll et al.
Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking
Xin Tong, Shi Peng, Baojie Tian et al.
In2NeCT: Inter-class and Intra-class Neural Collapse Tuning for Semantic Segmentation of Imbalanced Remote Sensing Images
Junao Shen, Qiyun Hu, Tian Feng et al.