Most Cited 2025 "statutory revisions" Papers
22,274 papers found • Page 96 of 112
Conference
Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion
Jinbiao Chen, Jiahai Wang, Zhiguang Cao et al.
Adaptive Deployment of Untrusted LLMs Reduces Distributed Threats
Jiaxin Wen, Vivek Hebbar, Caleb Larson et al.
DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent
Taiyi Wang, Zhihao Wu, Jianheng Liu et al.
Aligning Language Models with Demonstrated Feedback
Omar Shaikh, Michelle Lam, Joey Hejna 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.
Contextual Document Embeddings
John X. Morris, Alexander Rush
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.
SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models
Kehua Feng, Keyan Ding, Jing Yu 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.
Linear Transformer Topological Masking with Graph Random Features
Isaac Reid, Kumar Dubey, Deepali Jain et al.
DINOv2: Learning Robust Visual Features without Supervision
Pierre Fernandez, Piotr Bojanowski, Gabriel Synnaeve et al.
Robustness of Quantum Algorithms for Nonconvex Optimization
Weiyuan Gong, Chenyi Zhang, Tongyang Li
Uncertainty Herding: One Active Learning Method for All Label Budgets
Wonho Bae, Danica Sutherland, Gabriel Oliveira
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.
Large Language Models are Interpretable Learners
Ruochen Wang, Si Si, Felix Yu 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.
Quality Measures for Dynamic Graph Generative Models
Ryien Hosseini, Filippo Simini, Venkatram Vishwanath et al.
On Bits and Bandits: Quantifying the Regret-Information Trade-off
Itai Shufaro, Nadav Merlis, Nir Weinberger 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.
Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning
Shijie Liu, Andrew Cullen, Paul Montague et al.
Tractable Multi-Agent Reinforcement Learning through Behavioral Economics
Eric Mazumdar, Kishan Panaganti, Laixi Shi
Look Before You Leap: Universal Emergent Mechanism for Retrieval in Language Models
Alexandre Variengien, Eric Winsor
Diffusing States and Matching Scores: A New Framework for Imitation Learning
Runzhe Wu, Yiding Chen, Gokul Swamy et al.
Positional Embeddings in Transformer Models: Evolution from Text to Vision Domains
Abhinav Kumar, Adesh Gupta, Shivank Garg et al.
Diffusion-based Decoupled Deterministic and Uncertain Framework for Probabilistic Multivariate Time Series Forecasting
Qi Li, Zhenyu Zhang, Lei Yao et al.
Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
Yiqin Yang, Quanwei Wang, Chenghao Li et al.
Harnessing Diversity for Important Data Selection in Pretraining Large Language Models
Chi Zhang, Huaping Zhong, Kuan Zhang et al.
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning
Yichao Liang, Nishanth Kumar, Hao Tang et al.
Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models
Yuchen Yuchen, Xiangzhong Fang, Hanting Chen et al.
BBCaL: Black-box Backdoor Detection under the Causality Lens
Zihan Guan, Junfeng Guo, Mengxuan Hu et al.
Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning
Giseung Park, Youngchul Sung
Equivariant Masked Position Prediction for Efficient Molecular Representation
Junyi An, Chao Qu, Yun-Fei Shi et al.
Tree of Attributes Prompt Learning for Vision-Language Models
Tong Ding, Wanhua Li, Zhongqi Miao et al.
Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes
Jianqi Chen, Panwen Hu, Xiaojun Chang et al.
Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons
Shahaf Bassan, Ron Eliav, Shlomit Gur
GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment
Yuancheng Xu, Udari Sehwag, Alec Koppel et al.
SPD Attack - Prevention of AI Powered Image Editing by Image Immunization
Parth Badgujar, Shorya Singhal, Devansh Bhardwaj
Towards Bridging Generalization and Expressivity of Graph Neural Networks
Shouheng Li, Floris Geerts, Dongwoo Kim et al.
Medium-Difficulty Samples Constitute Smoothed Decision Boundary for Knowledge Distillation on Pruned Datasets
Yudong Chen, Xuwei Xu, Frank de Hoog et al.
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.
MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models
Pei Wang, Yanan Wu, Zekun Wang 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.
Robustness Reprogramming for Representation Learning
Zhichao Hou, MohamadAli Torkamani, Hamid Krim et al.
OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees
Kaiyan Zhang, Jiayuan Zhang, Haoxin Li et al.
NeuralPlane: Structured 3D Reconstruction in Planar Primitives with Neural Fields
Hanqiao Ye, Yuzhou Liu, Yangdong Liu et al.
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models
Guanting Dong, Keming Lu, Chengpeng Li et al.
Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection
Yun Zhu, Jia-Chen Gu, Caitlin Sikora et al.
Taming Transformer Without Using Learning Rate Warmup
Xianbiao Qi, Yelin He, Jiaquan Ye et al.
Preference Diffusion for Recommendation
Shuo Liu, An Zhang, Guoqing Hu et al.
Biologically Plausible Brain Graph Transformer
Ciyuan Peng, Yuelong Huang, Qichao Dong 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.
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search
Max Liu, Chan-Hung Yu, Wei-Hsu Lee et al.
W-PCA Based Gradient-Free Proxy for Efficient Search of Lightweight Language Models
Shang Wang
Flat Reward in Policy Parameter Space Implies Robust Reinforcement Learning
HyunKyu Lee, Sung Whan Yoon
Can One Modality Model Synergize Training of Other Modality Models?
Jae-Jun 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.
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
Sicong Liu, Yang Shu, Chenjuan Guo et al.
Efficient Perplexity Bound and Ratio Matching in Discrete Diffusion Language Models
Etrit Haxholli, Yeti Z. Gurbuz, Oğul Can et al.
VideoGLUE: Video General Understanding Evaluation of Foundation Models
Boqing Gong, Yin Cui, Long Zhao et al.
Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification
Santiago Cortes-Gomez, Carlos Patiño, Yewon Byun et al.
TIPS: Text-Image Pretraining with Spatial awareness
Kevis-Kokitsi Maninis, Kaifeng Chen, Soham Ghosh 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.
A Stochastic Approach to the Subset Selection Problem via Mirror Descent
Dan Greenstein, Elazar Gershuni, Ilan Ben-Bassat et al.
GReaTer: Gradients Over Reasoning Makes Smaller Language Models Strong Prompt Optimizers
Sarkar Snigdha Sarathi Das, Ryo Kamoi, Bo Pang et al.
Masked Temporal Interpolation Diffusion for Procedure Planning in Instructional Videos
Yufan Zhou, Zhaobo Qi, Lingshuai Lin 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.
Century: A Framework and Dataset for Evaluating Historical Contextualisation of Sensitive Images
Canfer Akbulut, Kevin Robinson, Maribeth Rauh et al.
Scaling Long Context Training Data by Long-Distance Referrals
Yonghao Zhuang, Lanxiang Hu, Longfei Yun et al.
Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models
Qingni Wang, Tiantian Geng, Zhiyuan Wang et al.
Gaussian-Based Instance-Adaptive Intensity Modeling for Point-Supervised Facial Expression Spotting
Yicheng Deng, Hideaki Hayashi, Hajime Nagahara
AutoBencher: Towards Declarative Benchmark Construction
XIANG LI, Farzaan Kaiyom, Evan Liu et al.
Avoid Overclaims: Summary of Complexity Bounds for Algorithms in Minimization and Minimax Optimization
Siqi Zhang, Yifan Hu
Multi-Label Node Classification with Label Influence Propagation
Yifei Sun, Zemin Liu, Bryan Hooi et al.
Digi-Q: Learning VLM Q-Value Functions for Training Device-Control Agents
Hao Bai, Yifei Zhou, Li Li et al.
CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation
Yifeng Xu, Zhenliang He, Shiguang Shan et al.
ELFS: Label-Free Coreset Selection with Proxy Training Dynamics
Haizhong Zheng, Elisa Tsai, Yifu Lu et al.
On LLM Knowledge Distillation - A Comparison between Forward KL and Reverse KL
Yihan Cao, Yanbin Kang
EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents
Junting Chen, Checheng Yu, Xunzhe Zhou et al.
Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study
Shawn Tan, Songlin Yang, Aaron Courville et al.
Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection
Chunlei Li, Yilei Shi, Jingliang Hu et al.
Innovative Thinking, Infinite Humor: Humor Research of Large Language Models through Structured Thought Leaps
Han Wang, Yilin Zhao, Dian Li et al.
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains
Vighnesh Subramaniam, Yilun Du, Joshua B Tenenbaum et al.
Backtracking Improves Generation Safety
Yiming Zhang, Jianfeng Chi, Hailey Nguyen et al.
What Are Good Positional Encodings for Directed Graphs?
Yinan Huang, Haoyu Wang, Pan Li
From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions
Changle Qu, Sunhao Dai, Xiaochi Wei et al.
Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models
Andrea Tirinzoni, Ahmed Touati, Jesse Farebrother et al.
A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops
Shi Fu, Yingjie Wang, Yuzhu Chen et al.
MADGEN: Mass-Spec attends to De Novo Molecular generation
Yinkai Wang, Xiaohui Chen, Liping Liu 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.
Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity
Rheeya Uppaal, Apratim Dey, Yiting He et al.
Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility
Martin Kuo, Jingyang Zhang, Jianyi Zhang 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.
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.
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
Jingyuan Zhang, Yiyang Duan, Shuaicheng Niu et al.
Re-Imagining Multimodal Instruction Tuning: A Representation View
Yiyang Liu, James Liang, Ruixiang Tang et al.
Graph-Guided Scene Reconstruction from Images with 3D Gaussian Splatting
Chong Cheng, Gaochao Song, Yiyang Yao et al.
ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing
Shaorong Chen, Jun Xia, Jingbo Zhou et al.
Factor Graph-based Interpretable Neural Networks
Yicong Li, Kuanjiu Zhou, Shuo Yu et al.
Improved Approximation Algorithms for $k$-Submodular Maximization via Multilinear Extension
Huanjian Zhou, Lingxiao Huang, Baoxiang Wang
The Crucial Role of Samplers in Online Direct Preference Optimization
Ruizhe Shi, Runlong Zhou, Simon Du
I2VControl-Camera: Precise Video Camera Control with Adjustable Motion Strength
Wanquan Feng, Jiawei Liu, Pengqi Tu et al.
BenTo: Benchmark Reduction with In-Context Transferability
Hongyu Zhao, Ming Li, Lichao Sun et al.
Group Ligands Docking to Protein Pockets
Jiaqi Guan, Jiahan Li, Xiangxin Zhou 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.
N-ForGOT: Towards Not-forgetting and Generalization of Open Temporal Graph Learning
Liping Wang, Xujia Li, Jingshu Peng et al.
UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting
Haoyuan Li, Yanpeng Zhou, Tao Tang 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.
DiffPC: Diffusion-based High Perceptual Fidelity Image Compression with Semantic Refinement
Yichong Xia, Yimin Zhou, Jinpeng Wang et al.
UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery
Ruifeng Li, Mingqian Li, Wei Liu et al.
Learning LLM-as-a-Judge for Preference Alignment
Ziyi Ye, Xiangsheng Li, Qiuchi Li et al.
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance
Jiasheng Ye, Peiju Liu, Tianxiang Sun et al.
HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing
MUDE HUI, Siwei Yang, Bingchen Zhao et al.
Reliable and Diverse Evaluation of LLM Medical Knowledge Mastery
Yuxuan Zhou, Xien Liu, Chen Ning 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.
On Quantizing Neural Representation for Variable-Rate Video Coding
Junqi Shi, Zhujia Chen, Hanfei Li et al.
From Decoupling to Adaptive Transformation: a Wider Optimization Space for PTQ
Zhaojing Wen, Qiulin Zhang, Yuan Zhang et al.
Inverse Rendering using Multi-Bounce Path Tracing and Reservoir Sampling
Yuxin Dai, Qi Wang, Jingsen Zhu 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.
AgentRefine: Enhancing Agent Generalization through Refinement Tuning
Dayuan Fu, Keqing He, Yejie Wang et al.
DynFrs: An Efficient Framework for Machine Unlearning in Random Forest
Shurong Wang, Zhuoyang Shen, Xinbao Qiao et al.
Asymmetric Factorized Bilinear Operation for Vision Transformer
Junjie Wu, Qilong Wang, Jiangtao Xie 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.
InstaRevive: One-Step Image Enhancement via Dynamic Score Matching
Yixuan Zhu, Haolin Wang, Ao Li 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.
A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
Yinqi Bai, Jie Wang, Lei Chen 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.
MixEval-X: Any-to-any Evaluations from Real-world Data Mixture
Jinjie Ni, Yifan Song, Deepanway Ghosal et al.
RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction
Tanqiu Jiang, Zian Wang, Jiacheng Liang et al.
Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization
Zichen Wang, Yaokun Ji, Jianing Tian et al.
Sort-free Gaussian Splatting via Weighted Sum Rendering
Qiqi Hou, Randall Rauwendaal, Zifeng Li et al.
OMG: Opacity Matters in Material Modeling with Gaussian Splatting
Silong Yong, Venkata Nagarjun Pudureddiyur Manivannan, Bernhard Kerbl 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.
Do Egocentric Video-Language Models Truly Understand Hand-Object Interactions?
BOSHEN XU, Ziheng Wang, Yang Du et al.
ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning
Zihan Ye, Shreyank Gowda, Shiming Chen et al.
Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions
Zhihao He, Hang Yu, Zi Gong 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.
LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement
Zijie Geng, Jie Wang, Ziyan Liu et al.
Differentiable Integer Linear Programming
Zijie Geng, Jie Wang, Xijun Li et al.
Accelerating Neural ODEs: A Variational Formulation-based Approach
Hongjue Zhao, Yuchen Wang, Hairong Qi et al.
Why RoPE Struggles to Maintain Long-Term Decay in Long Sequences?
Wei Shen, Chao Yin, Yuliang Liu et al.
TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
Lijie Yang, Zhihao Zhang, Zhuofu Chen et al.
Neuralized Markov Random Field for Interaction-Aware Stochastic Human Trajectory Prediction
Zilin Fang, David Hsu, Gim H Lee
Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation
Itamar Zimerman, ameen ali ali, Lior Wolf
DeciMamba: Exploring the Length Extrapolation Potential of Mamba
Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein 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.
GS-CPR: Efficient Camera Pose Refinement via 3D Gaussian Splatting
Changkun Liu, Shuai Chen, Yash Bhalgat 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.
Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
Ziwei Huang, Jianan Zhou, Zhiguang Cao et al.
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
Sangmin Bae, Adam Fisch, Hrayr Harutyunyan et al.
Strong Preferences Affect the Robustness of Preference Models and Value Alignment
Ziwei Xu, Mohan Kankanhalli
Teaching LLMs How to Learn with Contextual Fine-Tuning
Younwoo Choi, Muhammad Adil Asif, Ziwen Han et al.
Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation
Yongxian Wei, Zixuan Hu, Li Shen et al.