Most Cited 2025 "broker modality" Papers
21,856 papers found • Page 4 of 110
Conference
The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities
Zhaofeng Wu, Xinyan Yu, Dani Yogatama et al.
Diffusion Feedback Helps CLIP See Better
Wenxuan Wang, Quan Sun, Fan Zhang et al.
RATT: A Thought Structure for Coherent and Correct LLM Reasoning
Jinghan Zhang, Xiting Wang, Weijieying Ren et al.
HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs
Pham Vu Tuan Dat, Long Doan, Huynh Thi Thanh Binh
An Architecture Search Framework for Inference-Time Techniques
Jon Saad-Falcon, Adrian Lafuente, Shlok Natarajan et al.
DEFOM-Stereo: Depth Foundation Model Based Stereo Matching
Hualie Jiang, Zhiqiang Lou, Laiyan Ding et al.
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents
Kexun Zhang, Weiran Yao, Zuxin Liu et al.
Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models
Michael Noukhovitch, Shengyi Huang, Sophie Xhonneux et al.
EG4D: Explicit Generation of 4D Object without Score Distillation
Qi Sun, Zhiyang Guo, Ziyu Wan et al.
SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration
Heming Xia, Yongqi Li, Jun Zhang et al.
3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer
Jiajun Deng, Tianyu He, Li Jiang et al.
Scaling Language-Free Visual Representation Learning
David Fan, Shengbang Tong, Jiachen Zhu et al.
5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks
Dongshuo Yin, Leiyi Hu, Bin Li et al.
DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention
Lianghui Zhu, Zilong Huang, Bencheng Liao et al.
VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging
Yufan He, Pengfei Guo, Yucheng Tang et al.
EVER: Exact Volumetric Ellipsoid Rendering for Real-time View Synthesis
Alexander Mai, Peter Hedman, George Kopanas et al.
Sampling-Efficient Test-Time Scaling: Self-Estimating the Best-of-N Sampling in Early Decoding
Yiming Wang, Pei Zhang, Siyuan Huang et al.
Combining Induction and Transduction for Abstract Reasoning
Wen-Ding Li, Keya Hu, Carter Larsen et al.
DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation
Chenguo Lin, Panwang Pan, Bangbang Yang et al.
Agents' Room: Narrative Generation through Multi-step Collaboration
Fantine Huot, Reinald Kim Amplayo, Jennimaria Palomaki et al.
Strong Model Collapse
Elvis Dohmatob, Yunzhen Feng, Arjun Subramonian et al.
Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking
Xiantao Hu, Ying Tai, Xu Zhao et al.
CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility
Bojia Zi, Shihao Zhao, Xianbiao Qi et al.
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation
Clément Chadebec, Onur Tasar, Eyal Benaroche et al.
MIDI: Multi-Instance Diffusion for Single Image to 3D Scene Generation
Zehuan Huang, Yuanchen Guo, Xingqiao An et al.
Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification
Wenxuan Huang, Zijie Zhai, Yunhang Shen et al.
Uni-Sign: Toward Unified Sign Language Understanding at Scale
Zecheng Li, Wengang Zhou, Weichao Zhao et al.
SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation
Koichi Namekata, Sherwin Bahmani, Ziyi Wu et al.
Scaling RL to Long Videos
Yukang Chen, Wei Huang, Baifeng Shi et al.
Agentic RL Scaling Law: Spontaneous Code Execution for Mathematical Problem Solving
Xinji Mai, Haotian Xu, Xing W et al.
Watermark Anything With Localized Messages
Tom Sander, Pierre Fernandez, Alain Oliviero Durmus et al.
Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting
Yu Liu, Baoxiong Jia, Ruijie Lu et al.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset
Toby Perrett, Ahmad Darkhalil, Saptarshi Sinha et al.
Video-Guided Foley Sound Generation with Multimodal Controls
Ziyang Chen, Prem Seetharaman, Bryan Russell et al.
PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos
Hanxiao Jiang, Hao-Yu Hsu, Kaifeng Zhang et al.
Animate Anyone 2: High-Fidelity Character Image Animation with Environment Affordance
Li Hu, wang yuan, Zhen Shen et al.
OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?
Junbo Niu, Yifei Li, Ziyang Miao et al.
TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution
linwei dong, Qingnan Fan, Yihong Guo et al.
SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving
Georg Hess, Carl Lindström, Maryam Fatemi et al.
GaussianOcc: Fully Self-supervised and Efficient 3D Occupancy Estimation with Gaussian Splatting
Wanshui Gan, Fang Liu, Hongbin Xu et al.
Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space
Zhen Zhang, Xuehai He, Weixiang Yan et al.
Real-Time Execution of Action Chunking Flow Policies
Kevin Black, Manuel Galliker, Sergey Levine
Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation
Shanchuan Lin, Ceyuan Yang, Hao He et al.
PaPaGei: Open Foundation Models for Optical Physiological Signals
Arvind Pillai, Dimitris Spathis, Fahim Kawsar et al.
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models
Seyedmorteza Sadat, Manuel Kansy, Otmar Hilliges et al.
On Scaling Up 3D Gaussian Splatting Training
Hexu Zhao, Haoyang Weng, Daohan Lu et al.
Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage
Zhi Gao, Bofei Zhang, Pengxiang Li et al.
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
Daniel Levy, Siba Smarak Panigrahi, Sékou-Oumar Kaba et al.
Synthetic continued pretraining
Zitong Yang, Neil Band, Shuangping Li et al.
SUTrack: Towards Simple and Unified Single Object Tracking
Xin Chen, Ben Kang, Wanting Geng et al.
TinySAM: Pushing the Envelope for Efficient Segment Anything Model
Han Shu, Wenshuo Li, Yehui Tang et al.
MoH: Multi-Head Attention as Mixture-of-Head Attention
Peng Jin, Bo Zhu, Li Yuan et al.
ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning
Zhaorun Chen, Mintong Kang, Bo Li
Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs
Qizhe Zhang, Aosong Cheng, Ming Lu et al.
Variational Best-of-N Alignment
Afra Amini, Tim Vieira, Elliott Ash et al.
Large Language Models Assume People are More Rational than We Really are
Ryan Liu, Jiayi Geng, Joshua Peterson et al.
How Does Critical Batch Size Scale in Pre-training?
Hanlin Zhang, Depen Morwani, Nikhil Vyas et al.
VLAS: Vision-Language-Action Model with Speech Instructions for Customized Robot Manipulation
Wei Zhao, Pengxiang Ding, Zhang Min et al.
Training-Free Activation Sparsity in Large Language Models
James Liu, Pragaash Ponnusamy, Tianle Cai et al.
Sparse Autoencoders Do Not Find Canonical Units of Analysis
Patrick Leask, Bart Bussmann, Michael Pearce et al.
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
Junsong Chen, Shuchen Xue, Yuyang Zhao et al.
FastVLM: Efficient Vision Encoding for Vision Language Models
Pavan Kumar Anasosalu Vasu, Fartash Faghri, Chun-Liang Li et al.
Re-thinking Temporal Search for Long-Form Video Understanding
Jinhui Ye, Zihan Wang, Haosen Sun et al.
Human-Object Interaction from Human-Level Instructions
Zhen Wu, Jiaman Li, Pei Xu et al.
STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Yun Li, Yiming Zhang, Tao Lin et al.
GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents
Qianhui Wu, Kanzhi Cheng, Rui Yang et al.
Generalizing Verifiable Instruction Following
Valentina Pyatkin, Saumya Malik, Victoria Graf et al.
DartControl: A Diffusion-Based Autoregressive Motion Model for Real-Time Text-Driven Motion Control
Kaifeng Zhao, Gen Li, Siyu Tang
Evaluating the Evaluator: Measuring LLMs’ Adherence to Task Evaluation Instructions
Bhuvanashree Murugadoss, Christian Poelitz, Ian Drosos et al.
Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment
Congzhi Zhang, Linhai Zhang, Jialong Wu et al.
DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation
Dongya Jia, Zhuo Chen, Jiawei Chen et al.
IDOL: Instant Photorealistic 3D Human Creation from a Single Image
Yiyu Zhuang, Jiaxi Lv, Hao Wen et al.
Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator
Chaehun Shin, Jooyoung Choi, Heeseung Kim et al.
Vision-Language Models Do Not Understand Negation
Kumail Alhamoud, Shaden Alshammari, Yonglong Tian et al.
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning
Yong Liu, Zirui Zhu, Chaoyu Gong et al.
ReMA: Learning to Meta-Think for LLMs with Multi-agent Reinforcement Learning
Ziyu Wan, Yunxiang Li, Xiaoyu Wen et al.
DiscoveryBench: Towards Data-Driven Discovery with Large Language Models
Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal et al.
EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation
Siyuan Huang, Liliang Chen, Pengfei Zhou et al.
Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations
Yuhao Yang, ZhI JI, Zhaopeng Li et al.
PolaFormer: Polarity-aware Linear Attention for Vision Transformers
Weikang Meng, Yadan Luo, Xin Li et al.
Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression
Zichong Meng, Yiming Xie, Xiaogang Peng et al.
GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction
Yuanhui Huang, Amonnut Thammatadatrakoon, Wenzhao Zheng et al.
Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting
Yuqi Li, Chuanguang Yang, Hansheng Zeng et al.
Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy
Zhi Hou, Tianyi Zhang, Yuwen Xiong et al.
TrajectoryCrafter: Redirecting Camera Trajectory for Monocular Videos via Diffusion Models
Mark YU, Wenbo Hu, Jinbo Xing et al.
PAD: Personalized Alignment of LLMs at Decoding-time
Ruizhe Chen, Xiaotian Zhang, Meng Luo et al.
Sequential Controlled Langevin Diffusions
Junhua Chen, Lorenz Richter, Julius Berner et al.
TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models
Ziyao Shangguan, Chuhan Li, Yuxuan Ding et al.
Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle
Zhenyu Tang, Junwu Zhang, Xinhua Cheng et al.
StreetCrafter: Street View Synthesis with Controllable Video Diffusion Models
Yunzhi Yan, Zhen Xu, Haotong Lin et al.
SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding
Hao Li, Changyao TIAN, Jie Shao et al.
MNE-SLAM: Multi-Agent Neural SLAM for Mobile Robots
Tianchen Deng, Guole Shen, Chen Xun et al.
Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective
Jorge (Zhoujun) Cheng, Shibo Hao, Tianyang Liu et al.
SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning
Rui Pan, Yinwei Dai, Zhihao Zhang et al.
FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs
Zhiting Fan, Ruizhe Chen, Tianxiang Hu et al.
ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Xiao Yu, Baolin Peng, Vineeth Vajipey et al.
EmbodiedSAM: Online Segment Any 3D Thing in Real Time
Xiuwei Xu, Huangxing Chen, Linqing Zhao et al.
Think Only When You Need with Large Hybrid-Reasoning Models
Lingjie Jiang, Xun Wu, Shaohan Huang et al.
Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws
Yiding Jiang, Allan Zhou, Zhili Feng et al.
Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI
Robert Hönig, Javier Rando, Nicholas Carlini et al.
Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective
Neta Shaul, Itai Gat, Marton Havasi et al.
DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
Ruowen Zhao, James Jun Liang Chen Ye, Zhengyi Wang et al.
One Diffusion to Generate Them All
Duong H. Le, Tuan Pham, Sangho Lee et al.
Speedy-Splat: Fast 3D Gaussian Splatting with Sparse Pixels and Sparse Primitives
Alex Hanson, Allen Tu, Geng Lin et al.
YOLOE: Real-Time Seeing Anything
Ao Wang, Lihao Liu, Hui Chen et al.
Accelerating Diffusion LLMs via Adaptive Parallel Decoding
Daniel Israel, Guy Van den Broeck, Aditya Grover
Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
Jerry Yao-Chieh Hu, Maojiang Su, En-Jui Kuo et al.
Efficient Evolutionary Search Over Chemical Space with Large Language Models
Haorui Wang, Marta Skreta, Cher-Tian Ser et al.
FreeVS: Generative View Synthesis on Free Driving Trajectory
Qitai Wang, Lue Fan, Yuqi Wang et al.
Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance
Yaxi Lu, Shenzhi Yang, Cheng Qian et al.
Think while You Generate: Discrete Diffusion with Planned Denoising
Sulin Liu, Juno Nam, Andrew Campbell et al.
Persistent Pre-training Poisoning of LLMs
Yiming Zhang, Javier Rando, Ivan Evtimov et al.
HiSplat: Hierarchical 3D Gaussian Splatting for Generalizable Sparse-View Reconstruction
Shengji Tang, Weicai Ye, Peng Ye et al.
DrivingForward: Feed-forward 3D Gaussian Splatting for Driving Scene Reconstruction from Flexible Surround-view Input
Qijian Tian, Xin Tan, Yuan Xie et al.
Multi-Objective Evolution of Heuristic Using Large Language Model
Shunyu Yao, Fei Liu, Xi Lin et al.
Robust Autonomy Emerges from Self-Play
Marco Cusumano-Towner, David Hafner, Alexander Hertzberg et al.
Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts
Marta Skreta, Tara Akhound-Sadegh, Viktor Ohanesian et al.
Improving the Diffusability of Autoencoders
Ivan Skorokhodov, Sharath Girish, Benran Hu et al.
Which Attention Heads Matter for In-Context Learning?
Kayo Yin, Jacob Steinhardt
ParaHome: Parameterizing Everyday Home Activities Towards 3D Generative Modeling of Human-Object Interactions
Jeonghwan Kim, Jisoo Kim, Jeonghyeon Na et al.
AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities
Guillaume Astruc, Nicolas Gonthier, Clement Mallet et al.
From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Jiacheng Liu, Chang Zou, Yuanhuiyi Lyu et al.
Competition Dynamics Shape Algorithmic Phases of In-Context Learning
Core Francisco Park, Ekdeep Singh Lubana, Hidenori Tanaka
Reconstructive Visual Instruction Tuning
Haochen Wang, Anlin Zheng, Yucheng Zhao et al.
Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models
Yoad Tewel, Rinon Gal, Dvir Samuel et al.
Dynamic Diffusion Transformer
Wangbo Zhao, Yizeng Han, Jiasheng Tang et al.
ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning
Ruchika Chavhan, Da Li, Timothy Hospedales
Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling
Zhihao Li, Yufei Wang, Heliang Zheng et al.
Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
Shuang Wu, Youtian Lin, Feihu Zhang et al.
WISA: World simulator assistant for physics-aware text-to-video generation
Jing Wang, Ao Ma, Ke Cao et al.
$R^2$-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning
Mintong Kang, Bo Li
Text4Seg: Reimagining Image Segmentation as Text Generation
Mengcheng Lan, Chaofeng Chen, Yue Zhou et al.
Compositional Entailment Learning for Hyperbolic Vision-Language Models
Avik Pal, Max van Spengler, Guido D'Amely di Melendugno et al.
Theory, Analysis, and Best Practices for Sigmoid Self-Attention
Jason Ramapuram, Federico Danieli, Eeshan Gunesh Dhekane et al.
Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions
Michael Zhang, W. Bradley Knox, Eunsol Choi
MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos
Xuehai He, Weixi Feng, Kaizhi Zheng et al.
LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs
Yuhao Wu, Ming Shan Hee, Zhiqiang Hu et al.
LLaVA-MoD: Making LLaVA Tiny via MoE-Knowledge Distillation
Fangxun Shu, Yue Liao, Lei Zhang et al.
Towards General Visual-Linguistic Face Forgery Detection
Ke Sun, Shen Chen, Taiping Yao et al.
LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models
Shenghao Fu, Qize Yang, Qijie Mo et al.
AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP
wenxin ma, Xu Zhang, Qingsong Yao et al.
LION-FS: Fast & Slow Video-Language Thinker as Online Video Assistant
Wei Li, Bing Hu, Rui Shao et al.
Harmonizing Visual Representations for Unified Multimodal Understanding and Generation
Size Wu, Wenwei Zhang, Lumin Xu et al.
Preference Optimization for Reasoning with Pseudo Feedback
Fangkai Jiao, Geyang Guo, Xingxing Zhang et al.
Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment
Gregor Bachmann, Sotiris Anagnostidis, Albert Pumarola et al.
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation
Hongxin Zhang, Zeyuan Wang, Qiushi Lyu et al.
Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming
Yilun Hao, Yang Zhang, Chuchu Fan
SCALM: Detecting Bad Practices in Smart Contracts Through LLMs
Zongwei Li, Xiaoqi Li, Wenkai Li et al.
Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models
Lingzhi Wang, Xingshan Zeng, Jinsong Guo et al.
Stable-Hair: Real-World Hair Transfer via Diffusion Model
Yuxuan Zhang, Qing Zhang, Yiren Song et al.
MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQL
Arian Askari, Christian Poelitz, Xinye Tang
Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?
Rylan Schaeffer, Hailey Schoelkopf, Brando Miranda et al.
The Diffusion Duality
Subham Sekhar Sahoo, Justin Deschenaux, Aaron Gokaslan et al.
On the Emergence of Position Bias in Transformers
Xinyi Wu, Yifei Wang, Stefanie Jegelka et al.
Words or Vision: Do Vision-Language Models Have Blind Faith in Text?
Ailin Deng, Tri Cao, Zhirui Chen et al.
Tensor Product Attention Is All You Need
Yifan Zhang, Yifeng Liu, Huizhuo Yuan et al.
What to align in multimodal contrastive learning?
Benoit Dufumier, Javiera Castillo Navarro, Devis Tuia et al.
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
Yongxin Guo, Zhenglin Cheng, Xiaoying Tang et al.
Looped Transformers for Length Generalization
Ying Fan, Yilun Du, Kannan Ramchandran et al.
LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning
Zhe Li, Weihao Yuan, Yisheng He et al.
UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens
Ruichuan An, Sihan Yang, Renrui Zhang et al.
SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation
Zekun Qi, Wenyao Zhang, Yufei Ding et al.
CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning
Ji Qi, Ming Ding, Weihan Wang et al.
Scaling Wearable Foundation Models
Girish Narayanswamy, Xin Liu, Kumar Ayush et al.
On the Relation between Trainability and Dequantization of Variational Quantum Learning Models
Elies Gil-Fuster, Casper Gyurik, Adrian Perez-Salinas et al.
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering
Ziyu Zhao, tao shen, Didi Zhu et al.
Preserving Diversity in Supervised Fine-Tuning of Large Language Models
Ziniu Li, Congliang Chen, Tian Xu et al.
PartGen: Part-level 3D Generation and Reconstruction with Multi-view Diffusion Models
Minghao Chen, Roman Shapovalov, Iro Laina et al.
Pow3R: Empowering Unconstrained 3D Reconstruction with Camera and Scene Priors
Wonbong Jang, Philippe Weinzaepfel, Vincent Leroy et al.
CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation
Hui Zhang, Dexiang Hong, Yitong Wang et al.
Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
Luca Bartolomei, Fabio Tosi, Matteo Poggi et al.
Generative Gaussian Splatting for Unbounded 3D City Generation
Haozhe Xie, Zhaoxi Chen, Fangzhou Hong et al.
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer
Hao Chen, Ze Wang, Xiang Li et al.
LEGION: Learning to Ground and Explain for Synthetic Image Detection
Hengrui Kang, Siwei Wen, Zichen Wen et al.
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
Sifan Wang, Ananyae bhartari, Bowen Li et al.
Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing
Xiangyu Zhao, Peiyuan Zhang, Kexian Tang et al.
SCBench: A KV Cache-Centric Analysis of Long-Context Methods
Yucheng Li, Huiqiang Jiang, Qianhui Wu et al.
Emergence of a High-Dimensional Abstraction Phase in Language Transformers
Emily Cheng, Diego Doimo, Corentin Kervadec et al.
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation
Yiming Wang, Pei Zhang, Baosong Yang et al.
Attentive Eraser: Unleashing Diffusion Model’s Object Removal Potential via Self-Attention Redirection Guidance
Wenhao Sun, Xue-Mei Dong, Benlei Cui et al.
PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion
Sophia Tang, Yinuo Zhang, Pranam Chatterjee, PhD
Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries
HUAKUN LUO, Haixu Wu, Hang Zhou et al.
Reasoning Models Better Express Their Confidence
Dongkeun Yoon, Seungone Kim, Sohee Yang et al.
AI as Humanity’s Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text
Ximing Lu, Melanie Sclar, Skyler Hallinan et al.
Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Amirmojtaba Sabour, Sanja Fidler, Karsten Kreis
Can LLMs Understand Time Series Anomalies?
Zihao Zhou, Rose Yu
LongVALE: Vision-Audio-Language-Event Benchmark Towards Time-Aware Omni-Modal Perception of Long Videos
Tiantian Geng, Jinrui Zhang, Qingni Wang et al.
Make It Count: Text-to-Image Generation with an Accurate Number of Objects
Lital Binyamin, Yoad Tewel, Hilit Segev et al.
SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images
Zixuan Huang, Mark Boss, Aaryaman Vasishta et al.
VidMuse: A Simple Video-to-Music Generation Framework with Long-Short-Term Modeling
Zeyue Tian, Zhaoyang Liu, Ruibin Yuan et al.
HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages
Zhilin Wang, Jiaqi Zeng, Olivier Delalleau 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.
MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts
Peng Jin, Bo Zhu, Yuan Li et al.
System 1.x: Learning to Balance Fast and Slow Planning with Language Models
Swarnadeep Saha, Archiki Prasad, Justin Chen et al.
REEF: Representation Encoding Fingerprints for Large Language Models
Jie Zhang, Dongrui Liu, Chen Qian et al.
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step
Mingyuan Zhou, Huangjie Zheng, Yi Gu et al.
Guided Real Image Dehazing Using YCbCr Color Space
Wenxuan Fang, Junkai Fan, Yu Zheng et al.
LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation
Mushui Liu, Yuhang Ma, Zhen Yang et al.