Most Cited 2025 "progressive synthesis" Papers
22,274 papers found • Page 5 of 112
Conference
Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference
Barys Liskavets, Maxim Ushakov, Shuvendu Roy et al.
CityGaussianV2: Efficient and Geometrically Accurate Reconstruction for Large-Scale Scenes
Yang Liu, Chuanchen Luo, Zhongkai Mao et al.
ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models
Xubing Ye, Yukang Gan, Yixiao Ge et al.
TabArena: A Living Benchmark for Machine Learning on Tabular Data
Nick Erickson, Lennart Purucker, Andrej Tschalzev et al.
EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models
Yantai Yang, Yuhao Wang, Zichen Wen et al.
A Closer Look at Machine Unlearning for Large Language Models
Xiaojian Yuan, Tianyu Pang, Chao Du et al.
MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts
Peng Jin, Bo Zhu, Yuan Li et al.
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation
Derong Xu, Xinhang Li, Ziheng Zhang et al.
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning
Yuheng Zhang, Dian Yu, Baolin Peng et al.
LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation
Mushui Liu, Yuhang Ma, Zhen Yang et al.
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs
Peijie Dong, Lujun Li, Yuedong Zhong et al.
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step
Mingyuan Zhou, Huangjie Zheng, Yi Gu et al.
Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction
Rui Qian, Shuangrui Ding, Xiaoyi Dong et al.
Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs
Mantas Mazeika, Xuwang Yin, Rishub Tamirisa et al.
WorldModelBench: Judging Video Generation Models As World Models
Dacheng Li, Yunhao Fang, Yukang Chen et al.
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
Xinze Li, Sen Mei, Zhenghao Liu et al.
Number Cookbook: Number Understanding of Language Models and How to Improve It
Haotong Yang, Yi Hu, Shijia Kang et al.
VidMuse: A Simple Video-to-Music Generation Framework with Long-Short-Term Modeling
Zeyue Tian, Zhaoyang Liu, Ruibin Yuan et al.
Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation
Shuo Yang, Haocheng Xi, Yilong Zhao et al.
ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities
Ezra Karger, Houtan Bastani, Chen Yueh-Han et al.
PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance
Haohan Weng, Yikai Wang, Tong Zhang et al.
REEF: Representation Encoding Fingerprints for Large Language Models
Jie Zhang, Dongrui Liu, Chen Qian et al.
Policy learning “without” overlap: Pessimism and generalized empirical Bernstein’s inequality
Ying Jin, Zhimei Ren, Zhuoran Yang et al.
3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination
Jianing "Jed" Yang, Xuweiyi Chen, Nikhil Madaan et al.
GaussTR: Foundation Model-Aligned Gaussian Transformer for Self-Supervised 3D Spatial Understanding
Haoyi Jiang, Liu Liu, Tianheng Cheng et al.
Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks
Hailong Guo, Bohan Zeng, Yiren Song et al.
Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs
Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang et al.
Motion-Agent: A Conversational Framework for Human Motion Generation with LLMs
Qi Wu, Yubo Zhao, Yifan Wang et al.
A Little Depth Goes a Long Way: The Expressive Power of Log-Depth Transformers
Will Merrill, Ashish Sabharwal
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning
Di Zhang, Jingdi Lei, Junxian Li et al.
From Tokens to Words: On the Inner Lexicon of LLMs
Guy Kaplan, Matanel Oren, Yuval Reif et al.
Training-free and Adaptive Sparse Attention for Efficient Long Video Generation
yifei xia, Suhan Ling, Fangcheng Fu et al.
CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models
Zihui Cheng, Qiguang Chen, Jin Zhang et al.
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning
Xinlu Zhang, Zhiyu Zoey Chen, Xi Ye et al.
PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning
Qingdong He, Jiangning Zhang, Jinlong Peng et al.
Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark
Tsung-Han Wu, Giscard Biamby, Jerome Quenum et al.
VideoGLaMM : A Large Multimodal Model for Pixel-Level Visual Grounding in Videos
Shehan Munasinghe, Hanan Gani, Wenqi Zhu et al.
StarVector: Generating Scalable Vector Graphics Code from Images and Text
Juan Rodriguez, Abhay Puri, Shubham Agarwal et al.
Evolutionary Large Language Model for Automated Feature Transformation
Nanxu Gong, Chandan K Reddy, Wangyang Ying et al.
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data
Asad Aali, Giannis Daras, Brett Levac et al.
A New Perspective on Shampoo's Preconditioner
Depen Morwani, Itai Shapira, Nikhil Vyas et al.
VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to Rank
Tianhe Wu, Jian Zou, Jie Liang et al.
One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt
Tao Liu, Kai Wang, Senmao Li et al.
3D-HGS: 3D Half-Gaussian Splatting
Haolin Li, Jinyang Liu, Mario Sznaier et al.
Visual Agentic AI for Spatial Reasoning with a Dynamic API
Damiano Marsili, Rohun Agrawal, Yisong Yue et al.
Complexity Experts are Task-Discriminative Learners for Any Image Restoration
Eduard Zamfir, Zongwei Wu, Nancy Mehta et al.
Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation
Zhe Kong, Feng Gao, Yong Zhang et al.
What Makes Large Language Models Reason in (Multi-Turn) Code Generation?
Kunhao Zheng, Juliette Decugis, Jonas Gehring et al.
McEval: Massively Multilingual Code Evaluation
Linzheng Chai, Shukai Liu, Jian Yang et al.
VideoRFT: Incentivizing Video Reasoning Capability in MLLMs via Reinforced Fine-Tuning
Qi Wang, Yanrui Yu, Ye Yuan et al.
The dark side of the forces: assessing non-conservative force models for atomistic machine learning
Filippo Bigi, Marcel Langer, Michele Ceriotti
Unlocking Multimodal Mathematical Reasoning via Process Reward Model
Ruilin Luo, Zhuofan Zheng, Lei Wang et al.
Can Knowledge Editing Really Correct Hallucinations?
Baixiang Huang, Canyu Chen, Xiongxiao Xu et al.
Paint by Inpaint: Learning to Add Image Objects by Removing Them First
Navve Wasserman, Noam Rotstein, Roy Ganz et al.
From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs
Alireza Rezazadeh, Zichao Li, Wei Wei et al.
InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences
Chenyang Zhu, Kai Li, Yue Ma et al.
Self-Boosting Large Language Models with Synthetic Preference Data
Qingxiu Dong, Li Dong, Xingxing Zhang et al.
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models
Wenbo Hu, Jia-Chen Gu, Zi-Yi Dou et al.
LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior
Hanyu Wang, Saksham Suri, Yixuan Ren et al.
InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity
Liming Jiang, Qing Yan, Yumin Jia et al.
VidBot: Learning Generalizable 3D Actions from In-the-Wild 2D Human Videos for Zero-Shot Robotic Manipulation
Hanzhi Chen, Boyang Sun, Anran Zhang et al.
Spot the Fake: Large Multimodal Model-Based Synthetic Image Detection with Artifact Explanation
Siwei Wen, junyan ye, Peilin Feng et al.
WildGS-SLAM: Monocular Gaussian Splatting SLAM in Dynamic Environments
Jianhao Zheng, Zihan Zhu, Valentin Bieri et al.
FlatQuant: Flatness Matters for LLM Quantization
Yuxuan Sun, Ruikang Liu, Haoli Bai et al.
Longhorn: State Space Models are Amortized Online Learners
Bo Liu, Rui Wang, Lemeng Wu et al.
OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation
Yuchen Lin, Chenguo Lin, Jianjin Xu et al.
MoDeGPT: Modular Decomposition for Large Language Model Compression
Chi-Heng Lin, Shangqian Gao, James Smith et al.
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
Siru Zhong, Weilin Ruan, Ming Jin et al.
The OMG dataset: An Open MetaGenomic corpus for mixed-modality genomic language modeling
Andre Cornman, Jacob West-Roberts, Antonio Camargo et al.
Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering
Sheng Liu, Haotian Ye, James Y Zou
STAMP: Scalable Task- And Model-agnostic Collaborative Perception
Xiangbo Gao, Runsheng Xu, Jiachen Li et al.
Gramian Multimodal Representation Learning and Alignment
Giordano Cicchetti, Eleonora Grassucci, Luigi Sigillo et al.
Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View
Xuan Liu, Jie ZHANG, HaoYang Shang et al.
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
Yinuo Ren, Haoxuan Chen, Yuchen Zhu et al.
Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer
Yanjun Zhao, Sizhe Dang, Haishan Ye et al.
DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes
Chensheng Peng, Chengwei Zhang, Yixiao Wang et al.
Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation
Xiaojuan Wang, Boyang Zhou, Brian Curless et al.
Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos
Weifeng Lin, Xinyu Wei, Ruichuan An et al.
Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key
Zhihe Yang, Xufang Luo, Dongqi Han et al.
VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge
Vishwesh Nath, Wenqi Li, Dong Yang et al.
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse
Maojia Song, Shang Hong Sim, Rishabh Bhardwaj et al.
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding
Doohyuk Jang, Sihwan Park, June Yong Yang et al.
xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition
Artyom Stitsyuk, Jaesik Choi
Streaming Video Understanding and Multi-round Interaction with Memory-enhanced Knowledge
Haomiao Xiong, Zongxin Yang, Jiazuo Yu et al.
PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers
Yuchen Lin, Chenguo Lin, Panwang Pan et al.
Enriching Multimodal Sentiment Analysis Through Textual Emotional Descriptions of Visual-Audio Content
Sheng Wu, Dongxiao He, Xiaobao Wang et al.
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective
Shaobo Wang, Yicun Yang, Zhiyuan Liu et al.
DiTTo-TTS: Diffusion Transformers for Scalable Text-to-Speech without Domain-Specific Factors
Keon Lee, Dong Won Kim, Jaehyeon Kim et al.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization
Yiyou Sun, Shawn Hu, Georgia Zhou et al.
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport
Zhenyi Zhang, Tiejun Li, Peijie Zhou
VideoWorld: Exploring Knowledge Learning from Unlabeled Videos
Zhongwei Ren, Yunchao Wei, Xun Guo et al.
Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency
Shiji Zhao, Ranjie Duan, Fengxiang Wang et al.
MAT-Agent: Adaptive Multi-Agent Training Optimization
jusheng zhang, Kaitong Cai, Yijia Fan et al.
Ross3D: Reconstructive Visual Instruction Tuning with 3D-Awareness
Haochen Wang, Yucheng Zhao, Tiancai Wang et al.
ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding
Yiyang Zhou, Yangfan He, Yaofeng Su et al.
Machine Unlearning Fails to Remove Data Poisoning Attacks
Martin Pawelczyk, Jimmy Di, Yiwei Lu et al.
Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models
Zehan Wang, Ziang Zhang, Tianyu Pang et al.
RUN: Reversible Unfolding Network for Concealed Object Segmentation
Chunming He, Rihan Zhang, Fengyang Xiao et al.
Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems
Weibo Gao, Qi Liu, Linan Yue et al.
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
Lecheng Kong, Jiarui Feng, Hao Liu et al.
When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs
Xiaomin Li, Zhou Yu, Zhiwei Zhang et al.
Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series
Yuxiao Hu, Qian Li, Dongxiao Zhang et al.
ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing
Ziteng Wang, Jun Zhu, Jianfei Chen
From Mechanistic Interpretability to Mechanistic Biology: Training, Evaluating, and Interpreting Sparse Autoencoders on Protein Language Models
Etowah Adams, Liam Bai, Minji Lee et al.
DyFo: A Training-Free Dynamic Focus Visual Search for Enhancing LMMs in Fine-Grained Visual Understanding
Geng Li, Jinglin Xu, Yunzhen Zhao et al.
From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning
Le Zhuo, Liangbing Zhao, Sayak Paul et al.
Image Watermarks are Removable using Controllable Regeneration from Clean Noise
Yepeng Liu, Yiren Song, Hai Ci et al.
Diffusion-based Neural Network Weights Generation
Bedionita Soro, Bruno Andreis, Hayeon Lee et al.
Spurious Forgetting in Continual Learning of Language Models
Junhao Zheng, Xidi Cai, Shengjie Qiu et al.
Overtrained Language Models Are Harder to Fine-Tune
Jacob Mitchell Springer, Sachin Goyal, Kaiyue Wen et al.
EgoTextVQA: Towards Egocentric Scene-Text Aware Video Question Answering
Sheng Zhou, Junbin Xiao, Qingyun Li et al.
Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models
Zemin Huang, Zhiyang Chen, Zijun Wang et al.
Herald: A Natural Language Annotated Lean 4 Dataset
Guoxiong Gao, Yutong Wang, Jiedong Jiang et al.
Simple ReFlow: Improved Techniques for Fast Flow Models
Beomsu Kim, Yu-Guan Hsieh, Michal Klein et al.
Can Large Language Models Understand Symbolic Graphics Programs?
Zeju Qiu, Weiyang Liu, Haiwen Feng et al.
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models
Thomas Fel, Ekdeep Singh Lubana, Jacob Prince et al.
Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection
Wei Luo, Yunkang Cao, Haiming Yao et al.
Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models
Zhejun Zhang, Peter Karkus, Maximilian Igl et al.
Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads
Siqi Kou, Jiachun Jin, Zhihong Liu et al.
LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models
Junyan Ye, Baichuan Zhou, Zilong Huang et al.
Long-Context State-Space Video World Models
Ryan Po, Yotam Nitzan, Richard Zhang et al.
MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks
Jiacheng Chen, Tianhao Liang, Sherman Siu et al.
DCEvo: Discriminative Cross-Dimensional Evolutionary Learning for Infrared and Visible Image Fusion
Jinyuan Liu, Bowei Zhang, Qingyun Mei et al.
Inst3D-LMM: Instance-Aware 3D Scene Understanding with Multi-modal Instruction Tuning
Hanxun Yu, Wentong Li, Song Wang et al.
No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces
Daniel Marczak, Simone Magistri, Sebastian Cygert et al.
ARLON: Boosting Diffusion Transformers with Autoregressive Models for Long Video Generation
Zongyi Li, Shujie HU, Shujie LIU et al.
GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling
Jixun Yao, Hexin Liu, CHEN CHEN et al.
Sparse Voxels Rasterization: Real-time High-fidelity Radiance Field Rendering
Cheng Sun, Jaesung Choe, Charles Loop et al.
Graphic Design with Large Multimodal Model
Yutao Cheng, Zhao Zhang, Maoke Yang et al.
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization
Junkang Wu, Yuexiang Xie, Zhengyi Yang et al.
Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data
Zhiyuan Zhou, Andy Peng, Qiyang Li et al.
Towards Understanding Camera Motions in Any Video
Zhiqiu Lin, Siyuan Cen, Daniel Jiang et al.
Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
Yiqun Chen, Lingyong Yan, Weiwei Sun et al.
Fast-in-Slow: A Dual-System VLA Model Unifying Fast Manipulation within Slow Reasoning
Hao Chen, Jiaming Liu, Chenyang Gu et al.
PersonalLLM: Tailoring LLMs to Individual Preferences
Thomas Zollo, Andrew Siah, Naimeng Ye et al.
Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models
Zhenyu Pan, Haozheng Luo, Manling Li et al.
When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline
Ming Li, Yongchun Gu, Yi Wang et al.
Methods for Convex $(L_0,L_1)$-Smooth Optimization: Clipping, Acceleration, and Adaptivity
Eduard Gorbunov, Nazarii Tupitsa, Sayantan Choudhury et al.
Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling
Wenda Xu, Rujun Han, Zifeng Wang et al.
Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding
Zhongyi Shui, Jianpeng Zhang, Weiwei Cao et al.
Theoretical Benefit and Limitation of Diffusion Language Model
Guhao Feng, Yihan Geng, Jian Guan et al.
Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think
Ge Wu, Shen Zhang, Ruijing Shi et al.
BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models
Peiyan Li, Yixiang Chen, Hongtao Wu et al.
Language-Image Models with 3D Understanding
Jang Hyun Cho, Boris Ivanovic, Yulong Cao et al.
VistaDream: Sampling multiview consistent images for single-view scene reconstruction
Haiping Wang, Yuan Liu, Ziwei Liu et al.
AR-Diffusion: Asynchronous Video Generation with Auto-Regressive Diffusion
Mingzhen Sun, Weining Wang, Li et al.
Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking
Benjamin Feuer, Micah Goldblum, Teresa Datta et al.
Distilling Multi-modal Large Language Models for Autonomous Driving
Deepti Hegde, Rajeev Yasarla, Hong Cai et al.
Your Mixture-of-Experts LLM Is Secretly an Embedding Model for Free
Ziyue Li, Tianyi Zhou
DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification
Yuhao Wang, Yang Liu, Aihua Zheng et al.
A Comprehensive Overhaul of Multimodal Assistant with Small Language Models
Minjie Zhu, Yichen Zhu, Ning Liu et al.
DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life
Yu Ying Chiu, Liwei Jiang, Yejin Choi
Improving Uncertainty Estimation through Semantically Diverse Language Generation
Lukas Aichberger, Kajetan Schweighofer, Mykyta Ielanskyi et al.
MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code
Zimu Lu, Aojun Zhou, Ke Wang et al.
More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models
Zhongxing Xu, Chengzhi Liu, Qingyue Wei et al.
Sparse autoencoders reveal selective remapping of visual concepts during adaptation
Hyesu Lim, Jinho Choi, Jaegul Choo et al.
OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling
Zhicheng YANG, Yiwei Wang, Yinya Huang et al.
Exploring Enhanced Contextual Information for Video-Level Object Tracking
Ben Kang, Xin Chen, Simiao Lai et al.
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery
Xiaoshuai Song, Muxi Diao, Guanting Dong et al.
Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model
Xiu Yuan, Tongzhou Mu, Stone Tao et al.
LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations
Anian Ruoss, Fabio Pardo, Harris Chan et al.
Light3R-SfM: Towards Feed-forward Structure-from-Motion
Sven Elflein, Qunjie Zhou, Laura Leal-Taixe
VLA-Cache: Efficient Vision-Language-Action Manipulation via Adaptive Token Caching
Siyu Xu, Yunke Wang, Chenghao Xia et al.
Estimating Body and Hand Motion in an Ego‑sensed World
Brent Yi, Vickie Ye, Maya Zheng et al.
PhysGen3D: Crafting a Miniature Interactive World from a Single Image
Boyuan Chen, Hanxiao Jiang, Shaowei Liu et al.
ASGO: Adaptive Structured Gradient Optimization
Kang An, Yuxing Liu, Rui Pan et al.
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
Cong Lu, Shengran Hu, Jeff Clune
Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory
Yuqi Wu, Wenzhao Zheng, Jie Zhou et al.
InterMask: 3D Human Interaction Generation via Collaborative Masked Modeling
Muhammad Gohar Javed, chuan guo, Li Cheng et al.
CAT-3DGS: A Context-Adaptive Triplane Approach to Rate-Distortion-Optimized 3DGS Compression
Yu-Ting Zhan, Cheng-Yuan Ho, He-Bi Yang et al.
AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions
Polina Kirichenko, Mark Ibrahim, Kamalika Chaudhuri et al.
Perception-Guided Jailbreak Against Text-to-Image Models
Yihao Huang, Le Liang, Tianlin Li et al.
Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection
Lichen Bai, Shitong Shao, zikai zhou et al.
InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences
Hongkai Zheng, Wenda Chu, Bingliang Zhang et al.
Chain-of-Retrieval Augmented Generation
Liang Wang, Haonan Chen, Nan Yang et al.
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget
Vikash Sehwag, Xianghao Kong, Jingtao Li et al.
The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio
Sicong Leng, Yun Xing, Zesen Cheng et al.
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions
Weifeng Lin, Xinyu Wei, Renrui Zhang et al.
LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application
Jian Jia, Yipei Wang, Yan Li et al.
Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling
Hongzhi Huang, Defa Zhu, Banggu Wu et al.
Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improvement
Dominik Grimm, Jonathan Pirnay
LayerTracer: Cognitive-Aligned Layered SVG Synthesis via Diffusion Transformer
Yiren Song, Danze Chen, Mike Zheng Shou
Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models
Jinjin Zhang, qiuyu Huang, Junjie Liu et al.
DeFoG: Discrete Flow Matching for Graph Generation
Yiming Qin, Manuel Madeira, Dorina Thanou et al.
PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models
Shi Qiu, Shaoyang Guo, Zhuo-Yang Song et al.
ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents
Haiyang SHEN, Yue Li, Desong Meng et al.
On Large Language Model Continual Unlearning
Chongyang Gao, Lixu Wang, Kaize Ding et al.
CViT: Continuous Vision Transformer for Operator Learning
Sifan Wang, Jacob Seidman, Shyam Sankaran et al.
KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems
Jusheng Zhang, Zimeng Huang, Yijia Fan et al.
CAD-GPT: Synthesising CAD Construction Sequence with Spatial Reasoning-Enhanced Multimodal LLMs
Siyu Wang, Cailian Chen, Xinyi Le et al.
SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning
Yichen Wu, Hongming Piao, Long-Kai Huang et al.
MoDGS: Dynamic Gaussian Splatting from Casually-captured Monocular Videos with Depth Priors
Qingming LIU, Yuan Liu, Jiepeng Wang et al.
Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry
Sai Sumedh R. Hindupur, Ekdeep S Lubana, Thomas Fel et al.
Fast Feedforward 3D Gaussian Splatting Compression
Yihang Chen, Qianyi Wu, Mengyao Li et al.
Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond
Qizhou Wang, Jin Zhou, (Andrew) Zhanke Zhou et al.
UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios
Baichuan Zhou, Haote Yang, Dairong Chen et al.
Erasing Undesirable Influence in Diffusion Models
Jing Wu, Trung Le, Munawar Hayat et al.
SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding
Ying Chen, Guoan Wang, Yuanfeng Ji et al.
DiffuseHigh: Training-Free Progressive High-Resolution Image Synthesis Through Structure Guidance
Younghyun Kim, Geunmin Hwang, Junyu Zhang et al.
OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows
Shufan Li, Konstantinos Kallidromitis, Akash Gokul et al.