Most Cited 2025 "space-to-object regression" Papers

A Computational Framework for Modeling Emergence of Color Vision in the Human Brain

Atsunobu Kotani, Yi-Ren Ng

Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation

Yan Sun, Stanley Kok

Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD

Ze Peng, Jian Zhang, Yisen Wang et al.

Flaws of ImageNet, Computer Vision's Favourite Dataset

Nikita Kisel, Illia Volkov, Kateřina Hanzelková et al.

Lossy Compression with Pretrained Diffusion Models

jeremy vonderfecht, Feng Liu

Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning

Haozhe Ma, Zhengding Luo, Thanh Vinh Vo et al.

SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration

Jintao Zhang, Jia wei, Pengle Zhang et al.

PIN: Prolate Spheroidal Wave Function-based Implicit Neural Representations

Viraj Dhananjaya Bandara Jayasundara Jayasundara Mudiyanselage, Heng Zhao, Demetrio Labate et al.

DeMo: Deep Motion Field Consensus with Learnable Kernels for Two-view Correspondence Learning

Yifan Lu, Jiajun Le, Zizhuo Li et al.

Extendable and Iterative Structure Learning Strategy for Bayesian Networks

Hamid Kalantari, Russell Greiner, Pouria Ramazi

Transformers Provably Solve Parity Efficiently with Chain of Thought

Juno Kim, Taiji Suzuki

Generalized Behavior Learning from Diverse Demonstrations

Varshith Sreeramdass, Rohan Paleja, Letian Chen et al.

ILLUSION: Unveiling Truth with a Comprehensive Multi-Modal, Multi-Lingual Deepfake Dataset

Kartik Thakral, Rishabh Ranjan, Akanksha Singh et al.

RuAG: Learned-rule-augmented Generation for Large Language Models

Yudi Zhang, Pei Xiao, Lu Wang et al.

Improving Deep Regression with Tightness

Shihao Zhang, Yuguang Yan, Angela Yao

GSE: Group-wise Sparse and Explainable Adversarial Attacks

Shpresim Sadiku, Moritz Wagner, Sebastian Pokutta

The impact of allocation strategies in subset learning on the expressive power of neural networks

Ofir Schlisselberg, Ran Darshan

Wavelet Diffusion Neural Operator

Peiyan Hu, Rui Wang, Xiang Zheng et al.

VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text

Tianyu Zhang, Suyuchen Wang, Lu Li et al.

OccProphet: Pushing the Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with an Observer-Forecaster-Refiner Framework

Junliang Chen, Huaiyuan Xu, Yi Wang et al.

Agree to Disagree: Demystifying Homogeneous Deep Ensembles through Distributional Equivalence

Yipei Wang, Xiaoqian Wang

Discovering Clone Negatives via Adaptive Contrastive Learning for Image-Text Matching

Renjie Pan, Jihao Dong, Hua Yang

Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization

Juntao Dai, Taiye Chen, Yaodong Yang et al.

IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation

Xinchen Zhang, Ling Yang, Guohao Li et al.

Resolution Attack: Exploiting Image Compression to Deceive Deep Neural Networks

Wangjia Yu, Xiaomeng Fu, Qiao Li et al.

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations

Katie Matton, Robert Ness, John Guttag et al.

ProtPainter: Draw or Drag Protein via Topology-guided Diffusion

Zhengxi Lu, Shizhuo Cheng, Yuru Jiang et al.

Redefining the task of Bioactivity Prediction

Yanwen Huang, Bowen Gao, Yinjun JIA et al.

CtD: Composition through Decomposition in Emergent Communication

Boaz Carmeli, Ron Meir, Yonatan Belinkov

Revisit Micro-batch Clipping: Adaptive Data Pruning via Gradient Manipulation

Lun Wang

Model Risk-sensitive Offline Reinforcement Learning

Gwangpyo Yoo, Honguk Woo

Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks

Rui Hu, Yifan Zhang, Zhuoran Li et al.

Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction

Shengju Yu, Zhibin Dong, Siwei Wang et al.

UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization

Peiwen Yuan, Shaoxiong Feng, Yiwei Li et al.

Personality Alignment of Large Language Models

Minjun Zhu, Yixuan Weng, Linyi Yang et al.

UniRestore3D: A Scalable Framework For General Shape Restoration

Yuang Wang, Yujian Zhang, Sida Peng et al.

Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation

Hossein Mirzaei Sadeghlou, Mojtaba Nafez, Jafar Habibi et al.

From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs

Iiro Kumpulainen, Sebastian Dalleiger, Jilles Vreeken et al.

Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks

Yeon-Chang Lee, Hojung Shin, Sang-Wook Kim

MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Peng Xia, Kangyu Zhu, Haoran Li et al.

Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension

Jiahan Li, Tong Chen, Shitong Luo et al.

Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning

Tian-Shuo Liu, Xu-Hui Liu, Ruifeng Chen et al.

Enhancing Pre-trained Representation Classifiability can Boost its Interpretability

Reassessing How to Compare and Improve the Calibration of Machine Learning Models

Muthu Chidambaram, Rong Ge

Bridging the Gap Between f-divergences and Bayes Hilbert Spaces

Linus Lach, Alexander Fottner, Yarema Okhrin

DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks

Wei Liu, Li Yang, Mingxuan Zhao et al.

SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems

Patrick Emami, Zhaonan Li, Saumya Sinha et al.

Revisit the Open Nature of Open Vocabulary Semantic Segmentation

Qiming Huang, Han Hu, Jianbo Jiao

Multi-Scale Fusion for Object Representation

Rongzhen Zhao, Vivienne Huiling Wang, Juho Kannala et al.

Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data

Jiajie Li, Brian Quaranto, Chenhui Xu et al.

SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations

Zhaorun Chen, Francesco Pinto, Minzhou Pan et al.

Improving Long-Text Alignment for Text-to-Image Diffusion Models

Luping Liu, Chao Du, Tianyu Pang et al.

On the Computation of the Fisher Information in Continual Learning

Gido van de Ven

3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery

Xiuyuan Hu, Guoqing Liu, Can Chen et al.

A Geometric Framework for Understanding Memorization in Generative Models

Brendan Ross, Hamidreza Kamkari, Tongzi Wu et al.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection

Guangsheng Bao, Yanbin Zhao, Juncai He et al.

Investigating Pattern Neurons in Urban Time Series Forecasting

Chengxin Wang, Yiran Zhao, shaofeng cai et al.

Can Watermarks be Used to Detect LLM IP Infringement For Free?

Zhengyue Zhao, Xiaogeng Liu, Somesh Jha et al.

Neural Approximate Mirror Maps for Constrained Diffusion Models

Berthy Feng, Ricardo Baptista, Katherine Bouman

GANDALF: Generative AttentioN based Data Augmentation and predictive modeLing Framework for personalized cancer treatment

Aishwarya Jayagopal, Yanrong Zhang, Robert Walsh et al.

On the Fourier analysis in the SO(3) space : the EquiLoPO Network

Dmitrii Zhemchuzhnikov, Sergei Grudinin

Grammar Reinforcement Learning: path and cycle counting in graphs with a Context-Free Grammar and Transformer approach

Jason Piquenot, Maxime Berar, Romain Raveaux et al.

HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere

Hatef Otroshi Shahreza, Sébastien Marcel

Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance

Dongmin Park, Sebin Kim, Taehong Moon et al.

Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents

Boyu Gou, Demi Ruohan Wang, Boyuan Zheng et al.

Decentralized Optimization with Coupled Constraints

Demyan Yarmoshik, Alexander Rogozin, Nikita Kiselev et al.

A Visual Dive into Conditional Flow Matching

Anne Gagneux, Ségolène Martin, Rémi Emonet et al.

A3D: Does Diffusion Dream about 3D Alignment?

Savva Ignatyev, Nina Konovalova, Daniil Selikhanovych et al.

Long Context Compression with Activation Beacon

Peitian Zhang, Zheng Liu, Shitao Xiao et al.

K-HALU: Multiple Answer Korean Hallucination Benchmark for Large Language Models

Jaehyung Seo, Heuiseok Lim

CipherPrune: Efficient and Scalable Private Transformer Inference

Yancheng Zhang, Jiaqi Xue, Mengxin Zheng et al.

Data Selection via Optimal Control for Language Models

Yuxian Gu, Li Dong, Hongning Wang et al.

VVC-Gym: A Fixed-Wing UAV Reinforcement Learning Environment for Multi-Goal Long-Horizon Problems

Xudong Gong, Feng Dawei, Kele Xu et al.

Scaling Laws for Downstream Task Performance in Machine Translation

Berivan Isik, NATALIA PONOMAREVA, Hussein Hazimeh et al.

CURIE: Evaluating LLMs on Multitask Scientific Long-Context Understanding and Reasoning

Hao Cui, Zahra Shamsi, Gowoon Cheon et al.

SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Xin Wang, Yu Zheng, Zhongwei Wan et al.

Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond

Giuseppe Serra, Florian Buettner

Diversity-Rewarded CFG Distillation

Geoffrey Cideron, Andrea Agostinelli, Johan Ferret et al.

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Chankyu Lee, Rajarshi Roy, Mengyao Xu et al.

GenXD: Generating Any 3D and 4D Scenes

Yuyang Zhao, Chung-Ching Lin, Kevin Lin et al.

Meta-Continual Learning of Neural Fields

Seungyoon Woo, Junhyeog Yun, Gunhee Kim

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving

Xiang Li, Pengfei Li, Yupeng Zheng et al.

DPLM-2: A Multimodal Diffusion Protein Language Model

Xinyou Wang, Zaixiang Zheng, Fei YE et al.

DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation

Hourun Li, Yifan Wang, Zhiping Xiao et al.

Disentangled Contrastive Bundle Recommendation with Conditional Diffusion

Jiuqiang Li

Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis

Weiwei Lin, Chenhang HE

Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context

Spencer Frei, Gal Vardi

MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning

Haotian Zhang, Mingfei Gao, Zhe Gan et al.

NarrativeBridge: Enhancing Video Captioning with Causal-Temporal Narrative

Asmar Nadeem, Faegheh Sardari, Robert Dawes et al.

Exploring Local Memorization in Diffusion Models via Bright Ending Attention

Chen Chen, Daochang Liu, Mubarak Shah et al.

Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank

Wenhao Zhan, Scott Fujimoto, Zheqing Zhu et al.

Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification

Wen Wen, Han Li, Tieliang Gong et al.

TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics

Lu Yi, Jie Peng, Yanping Zheng et al.

Process Reward Model with Q-value Rankings

Wendi Li, Yixuan Li

UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models

Fanghua Yu, Jinjin Gu, Jinfan Hu et al.

Efficient Cross-Episode Meta-RL

Gresa Shala, André Biedenkapp, Pierre Krack et al.

Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding

Jinbiao Chen, Zhiguang Cao, Jiahai Wang et al.

RB-Modulation: Training-Free Stylization using Reference-Based Modulation

Litu Rout, Yujia Chen, Nataniel Ruiz et al.

Single Teacher, Multiple Perspectives: Teacher Knowledge Augmentation for Enhanced Knowledge Distillation

Md Imtiaz Hossain, Sharmen Akhter, Choong Seon Hong et al.

Your Weak LLM is Secretly a Strong Teacher for Alignment

Leitian Tao, Yixuan Li

CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts

Jihye Choi, Jayaram Raghuram, Yixuan Li et al.

Lean-STaR: Learning to Interleave Thinking and Proving

Haohan Lin, Zhiqing Sun, Sean Welleck et al.

Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures

Yiming Chen, Yuan Zhang, Liyuan Cao et al.

4K4DGen: Panoramic 4D Generation at 4K Resolution

Renjie Li, Panwang Pan, Bangbang Yang et al.

Unleashing the Power of Task-Specific Directions in Parameter Efficient Fine-tuning

Chongjie Si, Zhiyi Shi, Shifan Zhang et al.

Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning

Lequan Lin, Dai Shi, Andi Han et al.

When Graph Neural Networks Meet Dynamic Mode Decomposition

Dai Shi, Lequan Lin, Andi Han et al.

DINOv2: Learning Robust Visual Features without Supervision

Pierre Fernandez, Piotr Bojanowski, Gabriel Synnaeve et al.

Uncertainty Herding: One Active Learning Method for All Label Budgets

Wonho Bae, Danica Sutherland, Gabriel Oliveira

$q$-exponential family for policy optimization

Lingwei Zhu, Haseeb Shah, Han Wang et al.

SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection

Han Shen, Pin-Yu Chen, Payel Das et al.

Addressing Label Shift in Distributed Learning via Entropy Regularization

Zhiyuan Wu, Changkyu Choi, Xiangcheng Cao et al.

TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights

Aiwei Liu, Haoping Bai, Zhiyun Lu et al.

Cross-Entropy Is All You Need To Invert the Data Generating Process

Patrik Reizinger, Alice Bizeul, Attila Juhos et al.

In Search of Forgotten Domain Generalization

Prasanna Mayilvahanan, Roland Zimmermann, Thaddäus Wiedemer et al.

Towards Hierarchical Rectified Flow

Yichi Zhang, Yici Yan, Alex Schwing et al.

Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning

Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar et al.

Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models

Alireza Ganjdanesh, Reza Shirkavand, Shangqian Gao et al.

HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models

Hayk Manukyan, Andranik Sargsyan, Barsegh Atanyan et al.

Relax and Merge: A Simple Yet Effective Framework for Solving Fair $k$-Means and $k$-sparse Wasserstein Barycenter Problems

Shihong Song, Guanlin Mo, Hu Ding

To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation

Wanlin Zhang, Weichen Lin, Ruomin Huang et al.

Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset

Yiqin Yang, Quanwei Wang, Chenghao Li et al.

VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning

Yichao Liang, Nishanth Kumar, Hao Tang et al.

Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning

Giseung Park, Youngchul Sung

SPD Attack - Prevention of AI Powered Image Editing by Image Immunization

Parth Badgujar, Shorya Singhal, Devansh Bhardwaj

Value-aligned Behavior Cloning for Offline Reinforcement Learning via Bi-level Optimization

Xingyu Jiang, Ning Gao, Xiuhui Zhang et al.

Hybrid Regularization Improves Diffusion-based Inverse Problem Solving

Hongkun Dou, Zeyu Li, Jinyang Du et al.

OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data

Shubham Toshniwal, Wei Du, Ivan Moshkov et al.

HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining

Minjae Jeong, Yechan Hwang, Jaejin Lee et al.

Logic-Logit: A Logic-Based Approach to Choice Modeling

Shuhan Zhang, Wendi Ren, Shuang Li

Learning Evolving Tools for Large Language Models

Guoxin Chen, Zhong Zhang, Xin Cong et al.

Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds

Shuangqi Li, Hieu Le, Jingyi Xu et al.

Robust Representation Consistency Model via Contrastive Denoising

jiachen lei, Julius Berner, Jiongxiao Wang et al.

Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning

Amin Karimi Monsefi, Mengxi Zhou, Nastaran Monsefi et al.

OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees

Kaiyan Zhang, Jiayuan Zhang, Haoxin Li et al.

Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models

Guanting Dong, Keming Lu, Chengpeng Li et al.

CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness

Khyathi Chandu, Linjie Li, Anas Awadalla et al.

Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation

Jiahao Cui, Hui Li, Yao Yao et al.

GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians

Shuyi Jiang, Qihao Zhao, Hossein Rahmani et al.

Flat Reward in Policy Parameter Space Implies Robust Reinforcement Learning

HyunKyu Lee, Sung Whan Yoon

Integral Performance Approximation for Continuous-Time Reinforcement Learning Control

Brent Wallace, Jennie Si

A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules

Shih-Hsin Wang, Yuhao Huang, Justin Baker et al.

Efficient Perplexity Bound and Ratio Matching in Discrete Diffusion Language Models

Etrit Haxholli, Yeti Z. Gurbuz, Oğul Can et al.

Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification

Santiago Cortes-Gomez, Carlos Patiño, Yewon Byun et al.

Uncovering Overfitting in Large Language Model Editing

Mengqi Zhang, Xiaotian Ye, Qiang Liu et al.

ParetoFlow: Guided Flows in Multi-Objective Optimization

Ye Yuan, Can Chen, Christopher Pal et al.

HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks

Jiuding Sun, Jing Huang, Sidharth Baskaran et al.

Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification

Yunzhen Feng, Elvis Dohmatob, Pu Yang et al.

GReaTer: Gradients Over Reasoning Makes Smaller Language Models Strong Prompt Optimizers

Sarkar Snigdha Sarathi Das, Ryo Kamoi, Bo Pang et al.

Agent-to-Sim: Learning Interactive Behavior Models from Casual Longitudinal Videos

Gengshan Yang, Andrea Bajcsy, Shunsuke Saito et al.

MAPS: Advancing Multi-Modal Reasoning in Expert-Level Physical Science

Erle Zhu, Yadi Liu, Zhe Zhang et al.

Scaling Long Context Training Data by Long-Distance Referrals

Yonghao Zhuang, Lanxiang Hu, Longfei Yun et al.

AutoBencher: Towards Declarative Benchmark Construction

XIANG LI, Farzaan Kaiyom, Evan Liu et al.

Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study

Shawn Tan, Songlin Yang, Aaron Courville et al.

Innovative Thinking, Infinite Humor: Humor Research of Large Language Models through Structured Thought Leaps

Han Wang, Yilin Zhao, Dian Li et al.

How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework

Yinuo Ren, Haoxuan Chen, Grant Rotskoff et al.

ODE-based Smoothing Neural Network for Reinforcement Learning Tasks

Yinuo Wang, Wenxuan Wang, Xujie Song et al.

What is Wrong with Perplexity for Long-context Language Modeling?

Lizhe Fang, Yifei Wang, Zhaoyang Liu et al.

Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness

Baolong Bi, Shenghua Liu, Yiwei Wang et al.

Residual Kernel Policy Network: Enhancing Stability and Robustness in RKHS-Based Reinforcement Learning

Yixian Zhang, Huaze Tang, Huijing Lin et al.

Doubly robust identification of treatment effects from multiple environments

Piersilvio De Bartolomeis, Julia Kostin, Javier Abad et al.

Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-Based Decision-Making Systems

Ruochen Jiao, Shaoyuan Xie, Justin Yue et al.

Factor Graph-based Interpretable Neural Networks

Yicong Li, Kuanjiu Zhou, Shuo Yu et al.

ProteinBench: A Holistic Evaluation of Protein Foundation Models

Fei YE, Zaixiang Zheng, Dongyu Xue et al.

Enhancing Prediction Performance through Influence Measure

Shuguang Yu, Wenqian Xu, Xinyi Zhou et al.

Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment

Chenhang Cui, An Zhang, Yiyang Zhou et al.

MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models

Peng Xia, Siwei Han, Shi Qiu et al.

Learning LLM-as-a-Judge for Preference Alignment

Ziyi Ye, Xiangsheng Li, Qiuchi Li et al.

Reliable and Diverse Evaluation of LLM Medical Knowledge Mastery

Yuxuan Zhou, Xien Liu, Chen Ning et al.

Step-Calibrated Diffusion for Biomedical Optical Image Restoration

Yiwei Lyu, Sung Jik Cha, Cheng Jiang et al.

Learning Graph Quantized Tokenizers

Limei Wang, Kaveh Hassani, Si Zhang et al.

PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration

Yuxuan Sun, Yunlong Zhang, Yixuan Si et al.

From Decoupling to Adaptive Transformation: a Wider Optimization Space for PTQ

Zhaojing Wen, Qiulin Zhang, Yuan Zhang et al.

Scaling Large Language Model-based Multi-Agent Collaboration

Chen Qian, Zihao Xie, YiFei Wang et al.

Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models

Lin Zhu, Xinbing Wang, Chenghu Zhou et al.

When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs'' for Human-AI Interaction

Zhenchang Xing, Yang Liu, Zhuo Cheng et al.

Quantifying Generalization Complexity for Large Language Models

Zhenting Qi, Hongyin Luo, Xuliang Huang et al.

Multi-Reward as Condition for Instruction-based Image Editing

Xin Gu, Ming Li, Libo Zhang et al.

A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems

Shulan Zhu, Chenglong Bao, Defeng Sun et al.

A Benchmark for Semantic Sensitive Information in LLMs Outputs

Qingjie Zhang, Han Qiu, Di Wang et al.

Lipschitz Bandits in Optimal Space

Xiaoyi Zhu, Zengfeng Huang

TEASER: Token Enhanced Spatial Modeling for Expressions Reconstruction

Yunfei Liu, Lei Zhu, Lijian Lin et al.

Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization

Shuang Liu, Yihan Wang, Yifan Zhu et al.

GROOT-2: Weakly Supervised Multimodal Instruction Following Agents

Shaofei Cai, Bowei Zhang, Zihao Wang et al.

Computing Circuits Optimization via Model-Based Circuit Genetic Evolution

Zhihai Wang, Jie Wang, Xilin Xia et al.

Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement

Xueyao Zhang, Xiaohui Zhang, Kainan Peng et al.

OmniBind: Large-scale Omni Multimodal Representation via Binding Spaces

zehan wang, Ziang Zhang, Minjie Hong et al.

RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction

Tanqiu Jiang, Zian Wang, Jiacheng Liang et al.

Sort-free Gaussian Splatting via Weighted Sum Rendering

Qiqi Hou, Randall Rauwendaal, Zifeng Li et al.

Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist

Zihao Zhou, Shudong Liu, Maizhen Ning et al.

Gyrogroup Batch Normalization

Ziheng Chen, Yue Song, Xiaojun Wu et al.

ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning

Zihan Ye, Shreyank Gowda, Shiming Chen et al.

GrabS: Generative Embodied Agent for 3D Object Segmentation without Scene Supervision

Zihui Zhang, Yafei YANG, Hongtao Wen et al.

QP-SNN: Quantized and Pruned Spiking Neural Networks

Wenjie Wei, Malu Zhang, Zijian Zhou et al.

TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention

Lijie Yang, Zhihao Zhang, Zhuofu Chen et al.

Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence

Weize Chen, Ziming You, Ran Li et al.

Adam-mini: Use Fewer Learning Rates To Gain More

Yushun Zhang, Congliang Chen, Ziniu Li et al.

Automatic Curriculum Expert Iteration for Reliable LLM Reasoning

Zirui Zhao, Hanze Dong, Amrita Saha et al.

ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery

Ziru Chen, Shijie Chen, Yuting Ning et al.

Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA

Sangmin Bae, Adam Fisch, Hrayr Harutyunyan et al.