Most Cited 2025 "reward modeling" Papers

Imbalances in Neurosymbolic Learning: Characterization and Mitigating Strategies

Efthymia Tsamoura, Kaifu Wang, Dan Roth

Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?

Junchi Yu, Yujie Liu, Jindong Gu et al.

MamBEV: Enabling State Space Models to Learn Birds-Eye-View Representations

Hongyu Ke, Jack Morris, Kentaro Oguchi et al.

3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes

Sean Lamont, Christian Walder, Amir Dezfouli et al.

The Complexity of Correlated Equilibria in Generalized Games

Martino Bernasconi, Matteo Castiglioni, Andrea Celli et al.

DeepASA: An Object-Oriented Multi-Purpose Network for Auditory Scene Analysis

Dongheon Lee, Younghoo Kwon, Jung-Woo Choi

PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language Models in Physical Environments

Weijie Zhou, Xuantang Xiong, Yi Peng et al.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown

Bowen Wang, Zhouqiang Jiang, Yasuaki Susumu et al.

The Impact of Coreset Selection on Spurious Correlations and Group Robustness

Amaya Dharmasiri, William Yang, Polina Kirichenko et al.

MoMaps: Semantics-Aware Scene Motion Generation with Motion Maps

Jiahui Lei, Kyle Genova, George Kopanas et al.

LLM-Assisted Semantic Guidance for Sparsely Annotated Remote Sensing Object Detection

Wei Liao, Chunyan Xu, Chenxu Wang et al.

TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification

Dongyoon Yang, Jihu Lee, Yongdai Kim

Time-Embedded Algorithm Unrolling for Computational MRI

Junno Yun, Yasar Utku Alcalar, Mehmet Akcakaya

Transductive Conformal Inference for Full Ranking

Jean-Baptiste Fermanian, Pierre Humbert, Gilles Blanchard

SPACE: SPike-Aware Consistency Enhancement for Test-Time Adaptation in Spiking Neural Networks

Xinyu Luo, Kecheng Chen, Pao-Sheng Sun et al.

Explicit Depth-Aware Blurry Video Frame Interpolation Guided by Differential Curves

yan zaoming, pengcheng lei, Tingting Wang et al.

Sketched Gaussian Mechanism for Private Federated Learning

Qiaobo Li, Zhijie Chen, Arindam Banerjee

Group-wise Scaling and Orthogonal Decomposition for Domain-Invariant Feature Extraction in Face Anti-Spoofing

Seungjin Jung, Kanghee Lee, Yonghyun Jeong et al.

DP-LLM: Runtime Model Adaptation with Dynamic Layer-wise Precision Assignment

Sangwoo Kwon, Seong Hoon Seo, Jae W. Lee et al.

GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals

Jiachen Lu, Hailan Shanbhag, Haitham Al Hassanieh

Machine Unlearning under Overparameterization

Jacob Block, Aryan Mokhtari, Sanjay Shakkottai

Formal Models of Active Learning from Contrastive Examples

Farnam Mansouri, Hans Simon, Adish Singla et al.

HyperET: Efficient Training in Hyperbolic Space for Multi-modal Large Language Models

Zelin Peng, Zhengqin Xu, Qingyang Liu et al.

Attention-based clustering

Rodrigo Maulen Soto, Pierre Marion, Claire Boyer

Concept Incongruence: An Exploration of Time and Death in Role Playing

Xiaoyan Bai, Ike Peng, Aditya Singh et al.

Im2Haircut: Single-view Strand-based Hair Reconstruction for Human Avatars

Vanessa Sklyarova, Egor Zakharov, Malte Prinzler et al.

Incorporating Dense Knowledge Alignment into Unified Multimodal Representation Models

Yuhao Cui, Xinxing Zu, Wenhua Zhang et al.

MindForge: Empowering Embodied Agents with Theory of Mind for Lifelong Cultural Learning

Mircea Lică, Ojas Shirekar, Baptiste Colle et al.

Self-Supervised Cross-View Correspondence with Predictive Cycle Consistency

Alan Baade, Changan Chen

PoseCrafter: Extreme Pose Estimation with Hybrid Video Synthesis

Qing Mao, Tianxin Huang, Yu Zhu et al.

GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining

Chunyu Wei, Wenji Hu, Xingjia Hao et al.

Steering Guidance for Personalized Text-to-Image Diffusion Models

Sunghyun Park, Seokeon Choi, Hyoungwoo Park et al.

The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis

Hoang Pham, The Anh Ta, Tom Jacobs et al.

Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models

Yue Xu, Chengyan Fu, Li Xiong et al.

Sign-In to the Lottery: Reparameterizing Sparse Training

Advait Gadhikar, Tom Jacobs, chao zhou et al.

SVLTA: Benchmarking Vision-Language Temporal Alignment via Synthetic Video Situation

Hao Du, Bo Wu, Yan Lu et al.

AFUNet: Cross-Iterative Alignment-Fusion Synergy for HDR Reconstruction via Deep Unfolding Paradigm

Xinyue Li, Zhangkai Ni, Wenhan Yang

OverLayBench: A Benchmark for Layout-to-Image Generation with Dense Overlaps

Bingnan Li, Chen-Yu Wang, Haiyang Xu et al.

A Hyperdimensional One Place Signature to Represent Them All: Stackable Descriptors For Visual Place Recognition

Connor Malone, Somayeh Hussaini, Tobias Fischer et al.

SegMASt3R: Geometry Grounded Segment Matching

Rohit Jayanti, Swayam Agrawal, Vansh Garg et al.

Temporal Smoothness-Aware Rate-Distortion Optimized 4D Gaussian Splatting

Hyeongmin Lee, Kyungjune Baek

SilentStriker: Toward Stealthy Bit-Flip Attacks on Large Language Models

HAOTIAN XU, Qingsong Peng, Jie Shi et al.

CamPoint: Boosting Point Cloud Segmentation with Virtual Camera

Jianhui Zhang, Luo Yizhi, Zicheng Zhang et al.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision

Dmitrii Torbunov, Yihui Ren, Animesh Ghose et al.

Characterization and Learning of Causal Graphs from Hard Interventions

Zihan Zhou, Muhammad Qasim Elahi, Murat Kocaoglu

GroundingFace: Fine-grained Face Understanding via Pixel Grounding Multimodal Large Language Model

Yue Han, Jiangning Zhang, Junwei Zhu et al.

Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization

Ziqi Wang, Jiashun Liu, Ling Pan

Self Iterative Label Refinement via Robust Unlabeled Learning

Hikaru Asano, Tadashi Kozuno, Yukino Baba

Decoding Correlation-Induced Misalignment in the Stable Diffusion Workflow for Text-to-Image Generation

Yunze Tong, Fengda Zhang, Didi Zhu et al.

PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization

Honglin Li, Zhongyi Shui, Yunlong Zhang et al.

MCNC: Manifold-Constrained Reparameterization for Neural Compression

Chayne Thrash, Reed Andreas, Ali Abbasi et al.

Graph Diffusion that can Insert and Delete

Matteo Ninniri, Marco Podda, Davide Bacciu

AutoEdit: Automatic Hyperparameter Tuning for Image Editing

Chau Pham, Quan Dao, Mahesh Bhosale et al.

StreamBP: Memory-Efficient Exact Backpropagation for Long Sequence Training of LLMs

Qijun Luo, Mengqi Li, Lei Zhao et al.

Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs

Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla

Coordinate-based Speed of Sound Recovery for Aberration-Corrected Photoacoustic Computed Tomography

Tianao Li, Manxiu Cui, Cheng Ma et al.

Competitive Advantage Attacks to Decentralized Federated Learning

Yuqi Jia, Minghong Fang, Neil Gong

Self-Supervised Learning for Color Spike Camera Reconstruction

Yanchen Dong, Ruiqin Xiong, Xiaopeng Fan et al.

DAP-MAE: Domain-Adaptive Point Cloud Masked Autoencoder for Effective Cross-Domain Learning

Ziqi Gao, Qiufu Li, Linlin Shen

DiSRT-In-Bed: Diffusion-Based Sim-to-Real Transfer Framework for In-Bed Human Mesh Recovery

Jing Gao, Ce Zheng, Laszlo Jeni et al.

DMol: A Highly Efficient and Chemical Motif-Preserving Molecule Generation Platform

Peizhi Niu, Yu-Hsiang Wang, Vishal Rana et al.

Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference

Harry Amad, Zhaozhi Qian, Dennis Frauen et al.

Conditional Representation Learning for Customized Tasks

Honglin Liu, Chao Sun, Peng Hu et al.

ArtiFade: Learning to Generate High-quality Subject from Blemished Images

Shuya Yang, Shaozhe Hao, Yukang Cao et al.

MonoPlace3D: Learning 3D-Aware Object Placement for 3D Monocular Detection

Rishubh Parihar, Srinjay Sarkar, Sarthak Vora et al.

Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel–Young Losses

Yuzhou Cao, Han Bao, Lei Feng et al.

Non-convex entropic mean-field optimization via Best Response flow

Razvan-Andrei Lascu, Mateusz Majka

Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining

Nathan Stromberg, Christos Thrampoulidis, Lalitha Sankar

Exploring the Design Space of Diffusion Bridge Models

Shaorong Zhang, Yuanbin Cheng, Greg Ver Steeg

Inference with correlated priors using sisters cells

Sina Tootoonian, Andreas Schaefer

Odd-One-Out: Anomaly Detection by Comparing with Neighbors

Ankan Kumar Bhunia, Changjian Li, Hakan Bilen

FreeDance: Towards Harmonic Free-Number Group Dance Generation via a Unified Framework

Yiwen Zhao, Yang Wang, Liting Wen et al.

Risk-Sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samples

Yangming Li, Max Ruiz Luyten, Mihaela van der Schaar

Beyond the Average: Distributional Causal Inference under Imperfect Compliance

Undral Byambadalai, Tomu Hirata, Tatsushi Oka et al.

Graph Neural Network Based Action Ranking for Planning

Rajesh Mangannavar, Stefan Lee, Alan Fern et al.

PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations?

Martin Spitznagel, Jan Vaillant, Janis Keuper

Dense Dispersed Structured Light for Hyperspectral 3D Imaging of Dynamic Scenes

Suhyun Shin, Seungwoo Yoon, Ryota Maeda et al.

Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization

Xiaochuan Gong, Jie Hao, Mingrui Liu

Highlighting What Matters: Promptable Embeddings for Attribute-Focused Image Retrieval

Siting Li, Xiang Gao, Simon Du

Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure

Can Pouliquen, Mathurin Massias, Titouan Vayer

MetaFind: Scene-Aware 3D Asset Retrieval for Coherent Metaverse Scene Generation

Zhenyu Pan, Yucheng Lu, Han Liu

LIM: Large Interpolator Model for Dynamic Reconstruction

Remy Sabathier, Niloy J. Mitra, David Novotny

QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

Changxin Ke, Rui Zhang, Shuo Wang et al.

Precise Asymptotics and Refined Regret of Variance-Aware UCB

Yingying Fan, Yuxuan Han, Jinchi Lv et al.

HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery

Vaibhav Rathore, Divyam Gupta, Biplab Banerjee

GSAlign: Geometric and Semantic Alignment Network for Aerial-Ground Person Re-Identification

Qiao Li, Jie Li, Yukang Zhang et al.

Infinite Neural Operators: Gaussian processes on functions

Daniel Augusto de Souza, Yuchen Zhu, Jake Cunningham et al.

Symbolic Representation for Any-to-Any Generative Tasks

Jiaqi Chen, Xiaoye Zhu, Yue Wang et al.

AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding

Ahmed Masry, Juan Rodriguez, Tianyu Zhang et al.

AutoPrompt: Automated Red-Teaming of Text-to-Image Models via LLM-Driven Adversarial Prompts

Yufan Liu, Wanqian Zhang, Huashan Chen et al.

PINO: Person-Interaction Noise Optimization for Long-Duration and Customizable Motion Generation of Arbitrary-Sized Groups

Sakuya Ota, Qing Yu, Kent Fujiwara et al.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation

Bowen Song, Zecheng Zhang, Zhaoxu Luo et al.

Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems

Jeffrey Alido, Tongyu Li, Yu Sun et al.

A learnability analysis on neuro-symbolic learning

Hao-Yuan He, Ming LI

THD-BAR: Topology Hierarchical Derived Brain Autoregressive Modeling for EEG Generic Representations

Wenchao Yang, Weidong Yan, Wenkang Liu et al.

An Adaptive Algorithm for Bilevel Optimization on Riemannian Manifolds

Xu Shi, Rufeng Xiao, Rujun Jiang

Inverse decision-making using neural amortized Bayesian actors

Dominik Straub, Tobias Fabian Niehues, Jan Peters et al.

TeRA: Rethinking Text-guided Realistic 3D Avatar Generation

Yanwen Wang, Yiyu Zhuang, Jiawei Zhang et al.

Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs

Kai Wang, Siqiang Luo, Caihua Shan et al.

Metropolis-Hastings Sampling for 3D Gaussian Reconstruction

Hyunjin Kim, Haebeom Jung, Jaesik Park

HumorDB: Can AI understand graphical humor?

Vedaant V Jain, Gabriel Kreiman, Felipe Feitosa

DyGS-SLAM: Real-Time Accurate Localization and Gaussian Reconstruction for Dynamic Scenes

Xinggang Hu, Chenyangguang Zhang, Mingyuan Zhao et al.

ViewCraft3D: High-fidelity and View-Consistent 3D Vector Graphics Synthesis

Chuang Wang, Haitao Zhou, Ling Luo et al.

Epistemic Uncertainty for Generated Image Detection

Jun Nie, Yonggang Zhang, Tongliang Liu et al.

Towards Pre-trained Graph Condensation via Optimal Transport

Yeyu Yan, Shuai Zheng, Wenjun Hui et al.

Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs

Gerardo Flores, Alyssa H. Smith, Julia Fukuyama et al.

U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matching

Junsheng Zhou, XingYu Shi, Haichuan Song et al.

HyperNVD: Accelerating Neural Video Decomposition via Hypernetworks

Maria Pilligua, Danna Xue, Javier Vazquez-Corral

DiSCO-3D : Discovering and Segmenting Sub-Concepts from Open-vocabulary Queries in NeRF

Doriand Petit, Steve Bourgeois, Vincent Gay-Bellile et al.

How to Auto-optimize Prompts for Domain Tasks? Adaptive Prompting and Reasoning through Evolutionary Domain Knowledge Adaptation

Yang Zhao, Pu Wang, Hao Frank Yang

SCoT: Unifying Consistency Models and Rectified Flows via Straight-Consistent Trajectories

zhangkai wu, Xuhui Fan, Hongyu Wu et al.

Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies

Runze Yan, Xun Shen, Akifumi Wachi et al.

EDBench: Large-Scale Electron Density Data for Molecular Modeling

Hongxin Xiang, Ke Li, Mingquan Liu et al.

NoiseController: Towards Consistent Multi-view Video Generation via Noise Decomposition and Collaboration

Haotian Dong, Xin WANG, Di Lin et al.

VRM: Knowledge Distillation via Virtual Relation Matching

Weijia Zhang, Fei Xie, Weidong Cai et al.

Scaling can lead to compositional generalization

Florian Redhardt, Yassir Akram, Simon Schug

Blockwise Flow Matching: Improving Flow Matching Models For Efficient High-Quality Generation

Dogyun Park, Taehoon Lee, Minseok Joo et al.

DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation

Sang-Jun Park, Keun-Soo Heo, Dong-Hee Shin et al.

SWEb: A Large Web Dataset for the Scandinavian Languages

Tobias Norlund, Tim Isbister, Amaru Cuba Gyllensten et al.

High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation

Ziye Wang, Yiran Qin, Lin Zeng et al.

Minimax Adaptive Online Nonparametric Regression over Besov spaces

Paul Liautaud, Pierre Gaillard, Olivier Wintenberger

Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction

Anthony GX-Chen, Kenneth Marino, Rob Fergus

The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples

Hsiang Hsu, Pradeep Niroula, Zichang He et al.

STNet: Spectral Transformation Network for Solving Operator Eigenvalue Problem

Hong Wang, Yixuan Jiang, Jie Wang et al.

Adaptive Data Analysis for Growing Data

Neil Marchant, Benjamin Rubinstein

A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design

Haydn Jones, Natalie Maus, Josh magnus Ludan et al.

Bootstrap Off-policy with World Model

Guojian Zhan, Likun Wang, Xiangteng Zhang et al.

Medusa: A Multi-Scale High-order Contrastive Dual-Diffusion Approach for Multi-View Clustering

Liang Chen, Zhe Xue, Yawen Li et al.

Parameterized Synthetic Text Generation with SimpleStories

Lennart Finke, Chandan Sreedhara, Thomas Dooms et al.

Abstract Counterfactuals for Language Model Agents

Edoardo Pona, Milad Kazemi Mehrabadi, Yali Du et al.

Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular MDPs

Shulun Chen, Runlong Zhou, Zihan Zhang et al.

Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size

Rustem Islamov, Niccolò Ajroldi, Antonio Orvieto et al.

Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems

Ni Zhang, Zhiguang Cao

GSV3D: Gaussian Splatting-based Geometric Distillation with Stable Video Diffusion for Single-Image 3D Object Generation

Ye Tao, jiawei zhang, Yahao Shi et al.

VADTree: Explainable Training-Free Video Anomaly Detection via Hierarchical Granularity-Aware Tree

Wenlong Li, Yifei Xu, Yuan Rao et al.

HADAMRNN: BINARY AND SPARSE TERNARY ORTHOGONAL RNNS

Armand Foucault, Francois Malgouyres, Franck Mamalet

FakeRadar: Probing Forgery Outliers to Detect Unknown Deepfake Videos

Zhaolun Li, Jichang Li, Yinqi Cai et al.

Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training

VQ-SGen: A Vector Quantized Stroke Representation for Creative Sketch Generation

Jiawei Wang, Zhiming Cui, Changjian Li

LLM Query Scheduling with Prefix Reuse and Latency Constraints

Gregory Dexter, Shao Tang, Ata Fatahi et al.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning

Jiong Yin, Liang Li, Jiehua Zhang et al.

From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging

Tao Liu, Dafeng Zhang, Gengchen Li et al.

Learning to Add, Multiply, and Execute Algorithmic Instructions Exactly with Neural Networks

Artur Back de Luca, George Giapitzakis, Kimon Fountoulakis

3D Gaussian Map with Open-Set Semantic Grouping for Vision-Language Navigation

Jianzhe Gao, Rui Liu, Wenguan Wang

Instant4D: 4D Gaussian Splatting in Minutes

Zhanpeng Luo, Haoxi Ran, Li Lu

After the Party: Navigating the Mapping From Color to Ambient Lighting

Florin-Alexandru Vasluianu, Tim Seizinger, Zongwei Wu et al.

MRSAudio: A Large-Scale Multimodal Recorded Spatial Audio Dataset with Refined Annotations

Wenxiang Guo, Changhao Pan, Zhiyuan Zhu et al.

SparseVILA: Decoupling Visual Sparsity for Efficient VLM Inference

Samir Khaki, Junxian Guo, Jiaming Tang et al.

Towards Smart Point-and-Shoot Photography

Jiawan Li, Fei Zhou, Zhipeng Zhong et al.

Image Reconstruction from Readout-Multiplexed Single-Photon Detector Arrays

Shashwath Bharadwaj, Ruangrawee Kitichotkul, Akshay Agarwal et al.

Curvature Tuning: Provable Training-free Model Steering From a Single Parameter

Leyang Hu, Matteo Gamba, Randall Balestriero

Wavelet Canonical Coherence for Nonstationary Signals

Haibo Wu, Marina Knight, Keiland Cooper et al.

OpenHype: Hyperbolic Embeddings for Hierarchical Open-Vocabulary Radiance Fields

Lisa Weijler, Sebastian Koch, Fabio Poiesi et al.

De^2Gaze: Deformable and Decoupled Representation Learning for 3D Gaze Estimation

Yunfeng Xiao, Xiaowei Bai, Baojun Chen et al.

From Shortcut to Induction Head: How Data Diversity Shapes Algorithm Selection in Transformers

Ryotaro Kawata, Yujin Song, Alberto Bietti et al.

Clip-and-Verify: Linear Constraint-Driven Domain Clipping for Accelerating Neural Network Verification

Duo Zhou, Jorge Chavez, Hesun Chen et al.

JADE: Joint Alignment and Deep Embedding for Multi-Slice Spatial Transcriptomics

Yuanchuan Guo, Jun Liu, Huimin Cheng et al.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video

Xiao Li, Qi Chen, Xiulian Peng et al.

COS3D: Collaborative Open-Vocabulary 3D Segmentation

Runsong Zhu, Ka-Hei Hui, Zhengzhe Liu et al.

scSplit: Bringing Severity Cognizance to Image Decomposition in Fluorescence Microscopy

Ashesh Ashesh, Florian Jug

TITAN-Guide: Taming Inference-Time Alignment for Guided Text-to-Video Diffusion Models

Christian Simon, Masato Ishii, Akio Hayakawa et al.

Two‑Stage Learning of Stabilizing Neural Controllers via Zubov Sampling and Iterative Domain Expansion

Haoyu Li, Xiangru Zhong, Bin Hu et al.

FairDD: Fair Dataset Distillation

Qihang Zhou, ShenHao Fang, Shibo He et al.

Rotary Masked Autoencoders are Versatile Learners

Uros Zivanovic, Serafina Di Gioia, Andre Scaffidi et al.

Spk2SRImgNet: Super-Resolve Dynamic Scene from Spike Stream via Motion Aligned Collaborative Filtering

Yuanlin Wang, Yiyang Zhang, Ruiqin Xiong et al.

Tree-Guided Diffusion Planner

Hyeonseong Jeon, Cheolhong Min, Jaesik Park

Controllable-LPMoE: Adapting to Challenging Object Segmentation via Dynamic Local Priors from Mixture-of-Experts

Yanguang Sun, Jiawei Lian, jian Yang et al.

PRESTO: Preimage-Informed Instruction Optimization for Prompting Black-Box LLMs

Jaewon Chu, Seunghun Lee, Hyunwoo J. Kim

Differentially Private Bilevel Optimization: Efficient Algorithms with Near-Optimal Rates

Andrew Lowy, Daogao Liu

Efficient RAW Image Deblurring with Adaptive Frequency Modulation

Wenlong Jiao, Binglong Li, Wei Shang et al.

Inferring stochastic dynamics with growth from cross-sectional data

Stephen Zhang, Suryanarayana Maddu, Xiaojie Qiu et al.

Characterizing control between interacting subsystems with deep Jacobian estimation

Adam J. Eisen, Mitchell Ostrow, Sarthak Chandra et al.

APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction

Sasan Sharifipour, Constantino Álvarez Casado, Mohammad Sabokrou et al.

MemoryTalker: Personalized Speech-Driven 3D Facial Animation via Audio-Guided Stylization

Hyung Kyu Kim, Sangmin Lee, HAK GU KIM

Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving

Fangzhou Wu, Sandeep Silwal

RDD: Retrieval-Based Demonstration Decomposer for Planner Alignment in Long-Horizon Tasks

Mingxuan Yan, Yuping Wang, Zechun Liu et al.

Towards A Translative Model of Sperm Whale Vocalization

Orr Paradise, Liangyuan Chen, Pranav Muralikrishnan et al.

Preserving LLM Capabilities through Calibration Data Curation: From Analysis to Optimization

Bowei He, Lihao Yin, Hui-Ling Zhen et al.

Asymmetric Duos: Sidekicks Improve Uncertainty

Tim G. Zhou, Evan Shelhamer, Geoff Pleiss

Boosting Point-Supervised Temporal Action Localization through Integrating Query Reformation and Optimal Transport

Mengnan Liu, Le Wang, Sanping Zhou et al.

THE ROBUSTNESS OF DIFFERENTIABLE CAUSAL DISCOVERY IN MISSPECIFIED SCENARIOS

Huiyang Yi, Yanyan He, Duxin Chen et al.

IF-Guide: Influence Function-Guided Detoxification of LLMs

Zachary Coalson, Juhan Bae, Nicholas Carlini et al.

Perturb-and-Revise: Flexible 3D Editing with Generative Trajectories

Susung Hong, Johanna Suvi Karras, Ricardo Martin et al.

Data Distillation for extrapolative protein design through exact preference optimization

Mostafa Karimi, Sharmi Banerjee, Tommi Jaakkola et al.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions

Siyuan Yao, Rui Zhu, Ziqi Wang et al.

Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism

Mete Erdogan, Cengiz Pehlevan, Alper Erdogan

AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection

Saleh Momeni, Changnan Xiao, Bing Liu

ImHead: A Large-scale Implicit Morphable Model for Localized Head Modeling

Rolandos Alexandros Potamias, Stathis Galanakis, Jiankang Deng et al.

Analyzing Similarity Metrics for Data Selection for Language Model Pretraining

Dylan Sam, Ayan Chakrabarti, Afshin Rostamizadeh et al.

Leveraging Global Stereo Consistency for Category-Level Shape and 6D Pose Estimation from Stereo Images

Junning Qiu, Minglei Lu, Fei Wang et al.

WIR3D: Visually-Informed and Geometry-Aware 3D Shape Abstraction

Richard Liu, Daniel Fu, Noah Tan et al.

StrandHead: Text to Hair-Disentangled 3D Head Avatars Using Human-Centric Priors

Xiaokun Sun, Zeyu Cai, Ying Tai et al.

Vulnerability-Aware Spatio-Temporal Learning for Generalizable Deepfake Video Detection

Dat NGUYEN, Marcella Astrid, Anis Kacem et al.

Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability

Hoang Son Nguyen, Xiao Fu

MokA: Multimodal Low-Rank Adaptation for MLLMs

Yake Wei, Yu Miao, Dongzhan Zhou et al.

Online Feedback Efficient Active Target Discovery in Partially Observable Environments

Anindya Sarkar, Binglin Ji, Yevgeniy Vorobeychik

Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning

Zichen Tian, Yaoyao Liu, Qianru Sun

Adaptive Rank Allocation: Speeding Up Modern Transformers with RaNA Adapters

Roberto Garcia, Jerry Liu, Daniel Sorvisto et al.

Simulating Society Requires Simulating Thought

Chance Jiajie Li, Jiayi Wu, Zhenze MO et al.

A Sustainable AI Economy Needs Data Deals That Work for Generators

Ruoxi Jia, Luis Oala, Wenjie Xiong et al.