Most Cited 2025 "3d all-atom models" Papers
22,274 papers found • Page 16 of 112
Conference
OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data
Yiren Song, Cheng Liu, Mike Zheng Shou
Towards Multiple Character Image Animation Through Enhancing Implicit Decoupling
Jingyun Xue, WANG HongFa, Qi Tian et al.
ADAM: An Embodied Causal Agent in Open-World Environments
Shu Yu, Chaochao Lu
Steering the CensorShip: Uncovering Representation Vectors for LLM "Thought'' Control
Hannah Cyberey, David Evans
General Scene Adaptation for Vision-and-Language Navigation
Haodong Hong, Yanyuan Qiao, Sen Wang et al.
Holistic Reasoning with Long-Context LMs: A Benchmark for Database Operations on Massive Textual Data
Seiji Maekawa, Hayate Iso, Nikita Bhutani
Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling
Tsung-Han (Patrick) Wu, Heekyung Lee, Jiaxin Ge et al.
Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models
Yingqing Guo, Yukang Yang, Hui Yuan et al.
CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models
Hao He, Ceyuan Yang, Shanchuan Lin et al.
LoRe: Personalizing LLMs via Low-Rank Reward Modeling
Avinandan Bose, Zhihan Xiong, Yuejie Chi et al.
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
Jie Chen
Breaking the Data Barrier -- Building GUI Agents Through Task Generalization
Junlei Zhang, Zichen Ding, Chang Ma et al.
Sample Efficient Preference Alignment in LLMs via Active Exploration
Viraj Mehta, Syrine Belakaria, Vikramjeet Das et al.
DOTA: Distributional Test-time Adaptation of Vision-Language Models
Zongbo Han, Jialong Yang, Guangyu Wang et al.
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting
Suraj Anand, Michael Lepori, Jack Merullo et al.
RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories
Huiyang Shao, Xin Xia, Yuhong Yang et al.
Advancing Language Multi-Agent Learning with Credit Re-Assignment for Interactive Environment Generalization
Zhitao He, Zijun Liu, Peng Li et al.
EqNIO: Subequivariant Neural Inertial Odometry
Royina Karegoudra Jayanth, Yinshuang Xu, Ziyun Wang et al.
Deep MMD Gradient Flow without adversarial training
Alexandre Galashov, Valentin De Bortoli, Arthur Gretton
Noise Stability Optimization for Finding Flat Minima: A Hessian-based Regularization Approach
Haotian Ju, Hongyang Zhang, Dongyue Li
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
Minhyuk Seo, Hyunseo Koh, Jonghyun Choi
Breach By A Thousand Leaks: Unsafe Information Leakage in 'Safe' AI Responses
David Glukhov, Ziwen Han, I Shumailov et al.
PLeaS - Merging Models with Permutations and Least Squares
Anshul Nasery, Jonathan Hayase, Pang Wei Koh et al.
Nautilus: Locality-aware Autoencoder for Scalable Mesh Generation
Yuxuan Wang, Xuanyu Yi, Haohan Weng et al.
X-Dancer: Expressive Music to Human Dance Video Generation
Zeyuan Chen, Hongyi Xu, Guoxian Song et al.
Label-Free Backdoor Attacks in Vertical Federated Learning
Wei Shen, Wenke Huang, Guancheng Wan et al.
Generative Monoculture in Large Language Models
Fan Wu, Emily Black, Varun Chandrasekaran
Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning
Yichi Zhang, Zhuo Chen, Lingbing Guo et al.
Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning
Qitao Tan, Jun Liu, Zheng Zhan et al.
Causal Inference over Visual-Semantic-Aligned Graph for Image Classification
Lei Meng, Xiangxian Li, Xiaoshuo Yan et al.
DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents
Hao Li, Xiaogeng Liu, CHIU Chun et al.
Bayesian Concept Bottleneck Models with LLM Priors
Jean Feng, Avni Kothari, Lucas Zier et al.
Fluid Language Model Benchmarking
Valentin Hofmann, David Heineman, Ian Magnusson et al.
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning
Gongxi Zhu, Donghao Li, Hanlin Gu et al.
Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality Evolution
Qihao Liu, Xi Yin, Alan L. Yuille et al.
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation
Zhiqiang Shen, Ammar Sherif, Zeyuan Yin et al.
Early Concept Drift Detection via Prediction Uncertainty
Pengqian Lu, Jie Lu, Anjin Liu et al.
Mol-LLaMA: Towards General Understanding of Molecules in Large Molecular Language Model
Dongki Kim, Wonbin Lee, Sung Ju Hwang
X-Fi: A Modality-Invariant Foundation Model for Multimodal Human Sensing
Xinyan Chen, Jianfei Yang
CADDreamer: CAD Object Generation from Single-view Images
Yuan Li, Cheng Lin, Yuan Liu et al.
Efficiently Parameterized Neural Metriplectic Systems
Anthony Gruber, Kookjin Lee, Haksoo Lim et al.
VideoUFO: A Million-Scale User-Focused Dataset for Text-to-Video Generation
Wenhao Wang, Yi Yang
ObjectMover: Generative Object Movement with Video Prior
Xin Yu, Tianyu Wang, Soo Ye Kim et al.
TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
Haiyang Wang, Yue Fan, Muhammad Ferjad Naeem et al.
A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities
Han-Jia Ye, Si-Yang Liu, Wei-Lun (Harry) Chao
Enhancing Multilingual LLM Pretraining with Model-Based Data Selection
Bettina Messmer, Vinko Sabolčec, Martin Jaggi
STOP: Integrated Spatial-Temporal Dynamic Prompting for Video Understanding
Zichen Liu, Kunlun Xu, Bing Su et al.
Pareto Set Learning for Multi-Objective Reinforcement Learning
Erlong Liu, Yu-Chang Wu, Xiaobin Huang et al.
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions
Siqiao Mu, Diego Klabjan
UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence
Jie Feng, Shengyuan Wang, Tianhui Liu et al.
ROADWork: A Dataset and Benchmark for Learning to Recognize, Observe, Analyze and Drive Through Work Zones
Anurag Ghosh, Shen Zheng, Robert Tamburo et al.
RoMo: Robust Motion Segmentation Improves Structure from Motion
Lily Goli, Sara Sabour, Mark Matthews et al.
Visual Generation Without Guidance
Huayu Chen, Kai Jiang, Kaiwen Zheng et al.
Probing the Latent Hierarchical Structure of Data via Diffusion Models
Antonio Sclocchi, Alessandro Favero, Noam Levi et al.
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis
Weikai Li, Ding Wang, Zijian Ding et al.
AVTrustBench: Assessing and Enhancing Reliability and Robustness in Audio-Visual LLMs
Sanjoy Chowdhury, Sayan Nag, Subhrajyoti Dasgupta et al.
CLEVER: A Curated Benchmark for Formally Verified Code Generation
Amitayush Thakur, Jasper Lee, George Tsoukalas et al.
Reconstructing People, Places, and Cameras
Lea Müller, Hongsuk Choi, Anthony Zhang et al.
BizGen: Advancing Article-level Visual Text Rendering for Infographics Generation
Yuyang Peng, Shishi Xiao, Keming Wu et al.
Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data
Phillip Si, Peng Chen
DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document Understanding
Wenhui Liao, Jiapeng Wang, Hongliang Li et al.
Splatter-360: Generalizable 360 Gaussian Splatting for Wide-baseline Panoramic Images
Zheng Chen, Chenming Wu, Zhelun Shen et al.
InsightEdit: Towards Better Instruction Following for Image Editing
Yingjing Xu, Jie Kong, Jiazhi Wang et al.
Imagine and Seek: Improving Composed Image Retrieval with an Imagined Proxy
You Li, Fan Ma, Yi Yang
Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
Van Thuy Hoang, O-Joun Lee
CholecTrack20: A Multi-Perspective Tracking Dataset for Surgical Tools
Chinedu Innocent Nwoye, Kareem elgohary, Anvita A. Srinivas et al.
HOPE for a Robust Parameterization of Long-memory State Space Models
Annan Yu, Michael W Mahoney, N. Benjamin Erichson
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
Xuan Liu, Xiaobin Chang
JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent
Yunlong Lin, Zixu Lin, Kunjie Lin et al.
GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration
Sudarshan Rajagopalan, Nithin Gopalakrishnan Nair, Jay Paranjape et al.
WeatherGFM: Learning a Weather Generalist Foundation Model via In-context Learning
Xiangyu Zhao, Zhiwang Zhou, Wenlong Zhang et al.
SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments
Yue Cao, Yun Xing, Jie Zhang et al.
FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation
Dong Zhao, Jinlong Li, Shuang Wang et al.
On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent
Bingrui Li, Wei Huang, Andi Han et al.
$\gamma-$MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models
Yaxin Luo, Gen Luo, Jiayi Ji et al.
Monet: Mixture of Monosemantic Experts for Transformers
Jungwoo Park, Young Jin Ahn, Kee-Eung Kim et al.
Synthesizing Privacy-Preserving Text Data via Finetuning *without* Finetuning Billion-Scale LLMs
Bowen Tan, Zheng Xu, Eric Xing et al.
APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoning
Azim Ospanov, Farzan Farnia, Roozbeh Yousefzadeh
Scaling Laws for Differentially Private Language Models
Ryan McKenna, Yangsibo Huang, Amer Sinha et al.
I Can Hear You: Selective Robust Training for Deepfake Audio Detection
Zirui Zhang, Wei Hao, Aroon Sankoh et al.
(Mis)Fitting Scaling Laws: A Survey of Scaling Law Fitting Techniques in Deep Learning
Margaret Li, Sneha Kudugunta, Luke Zettlemoyer
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
Yuankai Luo, Lei Shi, Xiao-Ming Wu
When Do LLMs Help With Node Classification? A Comprehensive Analysis
Xixi Wu, Yifei Shen, Fangzhou Ge et al.
Video-ColBERT: Contextualized Late Interaction for Text-to-Video Retrieval
Arun Reddy, Alexander Martin, Eugene Yang et al.
Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning
Hui-Yue Yang, Hui Chen, Ao Wang et al.
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics
Omar Chehab, Anna Korba, Austin Stromme et al.
Repo2Run: Automated Building Executable Environment for Code Repository at Scale
Ruida Hu, Chao Peng, XinchenWang et al.
OS-ATLAS: Foundation Action Model for Generalist GUI Agents
Zhiyong Wu, Zhenyu Wu, Fangzhi Xu et al.
Constrained Fair and Efficient Allocations
Benjamin Cookson, Soroush Ebadian, Nisarg Shah
Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?
Simon Park, Abhishek Panigrahi, Yun Cheng et al.
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents
Haoyu Wang, Sunhao Dai, Haiyuan Zhao et al.
EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge
Ruskin Raj Manku, Yuzhi Tang, Xingjian Shi et al.
Post-pre-training for Modality Alignment in Vision-Language Foundation Models
Shin'ya Yamaguchi, Dewei Feng, Sekitoshi Kanai et al.
Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks
Miran Heo, Min-Hung Chen, De-An Huang et al.
Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization
Wei Liu, Zhiying Deng, Zhongyu Niu et al.
Group Distributionally Robust Dataset Distillation with Risk Minimization
Saeed Vahidian, Mingyu Wang, Jianyang Gu et al.
Flow-Based Policy for Online Reinforcement Learning
Lei Lv, Yunfei Li, Yu Luo et al.
Random-Set Neural Networks
Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang et al.
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
Luca Masserano, Abdul Fatir Ansari, Boran Han et al.
SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization
Yi Du, Zhipeng Zhao, Shaoshu Su et al.
From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization
Chao Yuan, Guiwei Zhang, Changxiao Ma et al.
Lumina-T2X: Scalable Flow-based Large Diffusion Transformer for Flexible Resolution Generation
Gao Peng, Le Zhuo, Dongyang Liu et al.
K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences
Zhikai Li, Xuewen Liu, Dongrong Joe Fu et al.
PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations
Benjamin Holzschuh, Qiang Liu, Georg Kohl et al.
ScribbleLight: Single Image Indoor Relighting with Scribbles
Jun Myeong Choi, Annie N. Wang, Pieter Peers et al.
MUST: The First Dataset and Unified Framework for Multispectral UAV Single Object Tracking
Haolin Qin, Tingfa Xu, Tianhao Li et al.
HybridGS: High-Efficiency Gaussian Splatting Data Compression using Dual-Channel Sparse Representation and Point Cloud Encoder
Qi Yang, Le Yang, Geert Van der Auwera et al.
BrainUICL: An Unsupervised Individual Continual Learning Framework for EEG Applications
Yangxuan Zhou, Sha Zhao, Jiquan Wang et al.
PlanarSplatting: Accurate Planar Surface Reconstruction in 3 Minutes
Bin Tan, Rui Yu, Yujun Shen et al.
Objective drives the consistency of representational similarity across datasets
Laure Ciernik, Lorenz Linhardt, Marco Morik et al.
Realistic Evaluation of Deep Partial-Label Learning Algorithms
Wei Wang, Dong-Dong Wu, Jindong Wang et al.
Perspective-Invariant 3D Object Detection
Alan Liang, Lingdong Kong, Dongyue Lu et al.
PreciseCam: Precise Camera Control for Text-to-Image Generation
Edurne Bernal-Berdun, Ana Serrano, Belen Masia et al.
Measuring what Matters: Construct Validity in Large Language Model Benchmarks
Andrew M. Bean, Ryan Othniel Kearns, Angelika Romanou et al.
Online Video Understanding: OVBench and VideoChat-Online
Zhenpeng Huang, Xinhao Li, Jiaqi Li et al.
Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios
Mohammad Rafid Ul Islam, Prasad Tadepalli, Alan Fern
Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks
Shikai Qiu, Lechao Xiao, Andrew Wilson et al.
HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
Trong-Thuan Nguyen, Pha Nguyen, Jackson Cothren et al.
Cafe-Talk: Generating 3D Talking Face Animation with Multimodal Coarse- and Fine-grained Control
Hejia Chen, Haoxian Zhang, Shoulong Zhang et al.
TraF-Align: Trajectory-aware Feature Alignment for Asynchronous Multi-agent Perception
Zhiying Song, Lei Yang, Fuxi Wen et al.
Fast Training of Sinusoidal Neural Fields via Scaling Initialization
Taesun Yeom, Sangyoon Lee, Jaeho Lee
HyperGS: Hyperspectral 3D Gaussian Splatting
Christopher Thirgood, Oscar Mendez, Erin Chao Ling et al.
KeyFace: Expressive Audio-Driven Facial Animation for Long Sequences via KeyFrame Interpolation
Antoni Bigata Casademunt, Michał Stypułkowski, Rodrigo Mira et al.
You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning
Ayan Sengupta, Siddhant Chaudhary, Tanmoy Chakraborty
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
Xinyi Shang, Peng Sun, Tao Lin
IDEATOR: Jailbreaking and Benchmarking Large Vision-Language Models Using Themselves
Ruofan Wang, Juncheng Li, Yixu Wang et al.
LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models
Hantao Zhang, Yuhe Liu, Jiancheng Yang et al.
Learning Robust Spectral Dynamics for Temporal Domain Generalization
En Yu, Jie Lu, Xiaoyu Yang et al.
AlphaZero Neural Scaling and Zipf's Law: a Tale of Board Games and Power Laws
Oren Neumann, Claudius Gros
HiMoR: Monocular Deformable Gaussian Reconstruction with Hierarchical Motion Representation
Yiming Liang, Tianhan Xu, Yuta Kikuchi
ND-SDF: Learning Normal Deflection Fields for High-Fidelity Indoor Reconstruction
Ziyu Tang, Weicai Ye, Yifan Wang et al.
Vision Foundation Models as Effective Visual Tokenizers for Autoregressive Generation
Zheng Anlin, Xin Wen, Xuanyang Zhang et al.
MegActor-Sigma: Unlocking Flexible Mixed-Modal Control in Portrait Animation with Diffusion Transformer
Shurong Yang, Huadong Li, Juhao Wu et al.
Zero-Shot Styled Text Image Generation, but Make It Autoregressive
Vittorio Pippi, Fabio Quattrini, Silvia Cascianelli et al.
Multi-modal brain encoding models for multi-modal stimuli
SUBBA REDDY OOTA, Khushbu Pahwa, mounika marreddy et al.
MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models
Chejian Xu, Jiawei Zhang, Zhaorun Chen et al.
The Non-Linear Representation Dilemma: Is Causal Abstraction Enough for Mechanistic Interpretability?
Denis Sutter, Julian Minder, Thomas Hofmann et al.
All-in-One: Transferring Vision Foundation Models into Stereo Matching
Jingyi Zhou, Haoyu Zhang, Jiakang Yuan et al.
Multimodal Latent Diffusion Model for Complex Sewing Pattern Generation
Shengqi Liu, Yuhao Cheng, Zhuo Chen et al.
Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-Tuning
Hai-Ming Xu, Qi Chen, Lei Wang et al.
ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content Moderation
Mengyang Wu, Yuzhi Zhao, Jialun Cao et al.
FixTalk: Taming Identity Leakage for High-Quality Talking Head Generation in Extreme Cases
Shuai Tan, Bill Gong, Bin Ji et al.
LITA-GS: Illumination-Agnostic Novel View Synthesis via Reference-Free 3D Gaussian Splatting and Physical Priors
Han Zhou, Wei Dong, Jun Chen
OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain
Wenzhen Yue, Yong Liu, Hao Wang et al.
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
Nikos Dimitriadis, Pascal Frossard, François Fleuret
DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation
Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu et al.
Do Large Language Models Truly Understand Geometric Structures?
Xiaofeng Wang, Yiming Wang, Wenhong Zhu et al.
Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition
Wen Yin, Yong Wang, Guiduo Duan et al.
StreamMind: Unlocking Full Frame Rate Streaming Video Dialogue through Event-Gated Cognition
Xin Ding, Hao Wu, Yifan Yang et al.
How Transformers Learn Structured Data: Insights From Hierarchical Filtering
Jerome Garnier-Brun, Marc Mezard, Emanuele Moscato et al.
Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel
Zun Wang, Jialu Li, Yicong Hong et al.
Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization
Yamato Arai, Yuma Ichikawa
Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors
Emile Pierret, Bruno Galerne
QuaDiM: A Conditional Diffusion Model For Quantum State Property Estimation
Yehui Tang, Mabiao Long, Junchi Yan
LIBA: Language Instructed Multi-granularity Bridge Assistant for 3D Visual Grounding
Yuan Wang, Ya-Li Li, W U Eastman Z Y et al.
ADIFF: Explaining audio difference using natural language
Soham Deshmukh, Shuo Han, Rita Singh et al.
SILO: Solving Inverse Problems with Latent Operators
Ron Raphaeli, Sean Man, Michael Elad
Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition
Zhong Zheng, Haochen Zhang, Lingzhou Xue
Counterfactual Generative Modeling with Variational Causal Inference
Yulun Wu, Louis McConnell, Claudia Iriondo
Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse
Arthur Jacot, Peter Súkeník, Zihan Wang et al.
RHanDS: Refining Malformed Hands for Generated Images with Decoupled Structure and Style Guidance
Chengrui Wang, Pengfei Liu, Min Zhou et al.
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)
Leander Girrbach, Stephan Alaniz, Yiran Huang et al.
SMARTIES: Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images
Gencer Sumbul, Chang Xu, Emanuele Dalsasso et al.
SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement
Yuqi Lin, Hengjia Li, Wenqi Shao et al.
UnCommon Objects in 3D
Xingchen Liu, Piyush Tayal, Jianyuan Wang et al.
Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words
Gouki Gouki, Hiroki Furuta, Yusuke Iwasawa et al.
Physical Plausibility-aware Trajectory Prediction via Locomotion Embodiment
Hiromu Taketsugu, Takeru Oba, Takahiro Maeda et al.
UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents
Han Xiao, Guozhi Wang, Yuxiang Chai et al.
Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration
Kang Liao, Zongsheng Yue, Zhouxia Wang et al.
BodyGen: Advancing Towards Efficient Embodiment Co-Design
Haofei Lu, Zhe Wu, Junliang Xing et al.
Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment
Yifan Zhang, Ge Zhang, Yue Wu et al.
GUARDIAN: Safeguarding LLM Multi-Agent Collaborations with Temporal Graph Modeling
Jialong Zhou, Lichao Wang, Xiao Yang
Diff3DS: Generating View-Consistent 3D Sketch via Differentiable Curve Rendering
Yibo Zhang, Lihong Wang, Changqing Zou et al.
Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models
Jiaming Zhang, Junhong Ye, Xingjun Ma et al.
Relieving Universal Label Noise for Unsupervised Visible-Infrared Person Re-Identification by Inferring from Neighbors
Xiao Teng, Long Lan, Dingyao Chen et al.
Dual Prompting Image Restoration with Diffusion Transformers
Dehong Kong, Fan Li, Zhixin Wang et al.
Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers
Kiyoung Seong, Seonghyun Park, Seonghwan Kim et al.
MUDDFormer: Breaking Residual Bottlenecks in Transformers via Multiway Dynamic Dense Connections
Da Xiao, Qingye Meng, Shengping Li et al.
RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguards
jingnan zheng, Xiangtian Ji, Yijun Lu et al.
AutoOcc: Automatic Open-Ended Semantic Occupancy Annotation via Vision-Language Guided Gaussian Splatting
Xiaoyu Zhou, Jingqi Wang, Yongtao Wang et al.
SAM2Object: Consolidating View Consistency via SAM2 for Zero-Shot 3D Instance Segmentation
Jihuai Zhao, Junbao Zhuo, Jiansheng Chen et al.
SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation
Koichi Saito, Dongjun Kim, Takashi Shibuya et al.
Test-time Adaptation for Cross-modal Retrieval with Query Shift
Haobin Li, Peng Hu, Qianjun Zhang et al.
Fast Summation of Radial Kernels via QMC Slicing
Johannes Hertrich, Tim Jahn, Michael Quellmalz
VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos
Jiashuo Yu, Yue Wu, Meng Chu et al.
HiMTok: Learning Hierarchical Mask Tokens for Image Segmentation with Large Multimodal Model
Tao Wang, Changxu Cheng, Lingfeng Wang et al.
Multi-Focus Image Fusion via Explicit Defocus Blur Modelling
Yuhui Quan, Xi Wan, Zitao Tang et al.
MLLM-For3D: Adapting Multimodal Large Language Model for 3D Reasoning Segmentation
Jiaxin Huang, Runnan Chen, Ziwen Li et al.
ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models
Liyan Tang, Grace Kim, Xinyu Zhao et al.
Vanish into Thin Air: Cross-prompt Universal Adversarial Attacks for SAM2
Ziqi Zhou, Yifan Hu, Yufei Song et al.
UAVScenes: A Multi-Modal Dataset for UAVs
Sijie Wang, Siqi Li, Yawei Zhang et al.
DepthCues: Evaluating Monocular Depth Perception in Large Vision Models
Duolikun Danier, Mehmet Aygun, Changjian Li et al.
Make Me Happier: Evoking Emotions Through Image Diffusion Models
Qing Lin, Jingfeng Zhang, YEW-SOON ONG et al.
Markov Persuasion Processes: Learning to Persuade From Scratch
Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Castiglioni et al.
Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints
Mihaela Stoian, Eleonora Giunchiglia
ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation
Angxiao Yue, Zichong Wang, Hongteng Xu
HELM: Hierarchical Encoding for mRNA Language Modeling
Mehdi Yazdani-Jahromi, Mangal Prakash, Tommaso Mansi et al.
MIB: A Mechanistic Interpretability Benchmark
Aaron Mueller, Atticus Geiger, Sarah Wiegreffe et al.
Rapidly Adapting Policies to the Real-World via Simulation-Guided Fine-Tuning
Patrick Yin, Tyler Westenbroek, Ching-An Cheng et al.
MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context
Shuai Lyu, Rongchen Zhang, Zeqi Ma et al.