Most Cited 2025 "microtransactions" Papers
22,274 papers found • Page 103 of 112
Conference
Steering Large Language Model Activations in Sparse Spaces
Reza Bayat, Ali Rahimi-Kalahroudi, Mohammad Pezeshki et al.
Self-Evolving Critique Abilities in Large Language Models
Zhengyang Tang, Ziniu Li, Zhenyang Xiao et al.
MS-SSM: A Multi-Scale State Space Model for Efficient Sequence Modeling
Mahdi Karami, Ali Behrouz, Peilin Zhong et al.
Supposedly Equivalent Facts That Aren’t? Entity Frequency in Pre-training Induces Asymmetry in LLMs
Yuan He, Bailan He, Zifeng Ding et al.
Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base
Linxin Song, Xuwei Ding, Jieyu Zhang et al.
Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration
Ran Xu, Wenqi Shi, Yuchen Zhuang et al.
Sample Efficient Preference Alignment in LLMs via Active Exploration
Viraj Mehta, Syrine Belakaria, Vikramjeet Das et al.
$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources
Apoorv Khandelwal, Tian Yun, Nihal V. Nayak et al.
LLM Unlearning Without an Expert Curated Dataset
Xiaoyuan Zhu, Muru Zhang, Ollie Liu et al.
RRO: LLM Agent Optimization Through Rising Reward Trajectories
Zilong Wang, Jingfeng Yang, Sreyashi Nag et al.
Imagine All The Relevance: Scenario-Profiled Indexing with Knowledge Expansion for Dense Retrieval
Sangam Lee, Ryang Heo, SeongKu Kang et al.
M²IV: Towards Efficient and Fine-grained Multimodal In-Context Learning via Representation Engineering
Yanshu Li, Yi Cao, Hongyang He et al.
Language models align with brain regions that represent concepts across modalities
Maria Ryskina, Greta Tuckute, Alexander Fung et al.
Robo-Instruct: Simulator-Augmented Instruction Alignment For Finetuning Code LLMs
Zichao Hu, Junyi Jessy Li, Arjun Guha et al.
ALOPE: Adaptive Layer Optimization for Translation Quality Estimation using Large Language Models
Archchana Sindhujan, Shenbin Qian, Chan Chi Chun Matthew et al.
Retrieval-Augmented Generation with Conflicting Evidence
Han Wang, Archiki Prasad, Elias Stengel-Eskin et al.
CASCADE Your Datasets for Cross-Mode Knowledge Retrieval of Language Models
Runlong Zhou, Yi Zhang
Sherkala-Chat: Building a State-of-the-Art LLM for Kazakh in a Moderately Resourced Setting
Fajri Koto, Rituraj Joshi, Nurdaulet Mukhituly et al.
Advancing Language Multi-Agent Learning with Credit Re-Assignment for Interactive Environment Generalization
Zhitao He, Zijun Liu, Peng Li et al.
Self-Steering Language Models
Gabriel Grand, Joshua B. Tenenbaum, Vikash Mansinghka et al.
Style over Substance: Distilled Language Models Reason Via Stylistic Replication
Philip Lippmann, Jie Yang
SmolVLM: Redefining small and efficient multimodal models
Andrés Marafioti, Orr Zohar, Miquel Farré et al.
QAPyramid: Fine-grained Evaluation of Content Selection for Text Summarization
Shiyue Zhang, David Wan, Arie Cattan et al.
Multi-Token Attention
Olga Golovneva, Tianlu Wang, Jason E Weston et al.
Hardware-Efficient Attention for Fast Decoding
Ted Zadouri, Hubert Strauss, Tri Dao
LawFlow: Collecting and Simulating Lawyers’ Thought Processes on Business Formation Case Studies
Debarati Das, Khanh Chi Le, Ritik Sachin Parkar et al.
FineWeb2: One Pipeline to Scale Them All — Adapting Pre-Training Data Processing to Every Language
Guilherme Penedo, Hynek Kydlíček, Vinko Sabolčec et al.
Fluid Language Model Benchmarking
Valentin Hofmann, David Heineman, Ian Magnusson et al.
Approximating Language Model Training Data from Weights
John Xavier Morris, Junjie Oscar Yin, Woojeong Kim et al.
Can LLM "Self-report"?: Evaluating the Validity of Self-report Scales in Measuring Personality Design in LLM-based Chatbots
Huiqi Zou, Pengda Wang, Zihan Yan et al.
DEL: Context-Aware Dynamic Exit Layer for Efficient Self-Speculative Decoding
Hossein Entezari Zarch, Lei Gao, Chaoyi Jiang et al.
SAT: Dynamic Spatial Aptitude Training for Multimodal Language Models
Arijit Ray, Jiafei Duan, Ellis L Brown II et al.
SEAL: Steerable Reasoning Calibration of Large Language Models for Free
Runjin Chen, Zhenyu Zhang, Junyuan Hong et al.
Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning
Anja Šurina, Amin Mansouri, Lars C.P.M. Quaedvlieg et al.
ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning
Shuyue Stella Li, Jimin Mun, Faeze Brahman et al.
Gating is Weighting: Understanding Gated Linear Attention through In-context Learning
Yingcong Li, Davoud Ataee Tarzanagh, Ankit Singh Rawat et al.
Multi-Agent Systems Execute Arbitrary Malicious Code
Harold Triedman, Rishi Dev Jha, Vitaly Shmatikov
Adaptive Computation Pruning for the Forgetting Transformer
Zhixuan Lin, Johan Obando-Ceron, Xu Owen He et al.
Bayesian scaling laws for in-context learning
Aryaman Arora, Dan Jurafsky, Christopher Potts et al.
PolyGuard: A Multilingual Safety Moderation Tool for 17 Languages
Priyanshu Kumar, Devansh Jain, Akhila Yerukola et al.
Insights from the Inverse: Reconstructing LLM Training Goals Through Inverse Reinforcement Learning
Jared Joselowitz, Ritam Majumdar, Arjun Jagota et al.
How Post-Training Reshapes LLMs: A Mechanistic View on Knowledge, Truthfulness, Refusal, and Confidence
Hongzhe Du, Weikai Li, Min Cai et al.
Adaptive Layer-skipping in Pre-trained LLMs
Xuan Luo, Weizhi Wang, Xifeng Yan
EllieSQL: Cost-Efficient Text-to-SQL with Complexity-Aware Routing
Yizhang Zhu, Runzhi JIANG, Boyan Li et al.
AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation
Itay Nakash, Nitay Calderon, Eyal Ben-David et al.
Traceable and Explainable Multimodal Large Language Models: An Information-Theoretic View
Zihan Huang, Junda Wu, Rohan Surana et al.
LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation
Juzheng Zhang, Jiacheng You, Ashwinee Panda et al.
Efficient Self-Improvement in Multimodal Large Language Models: A Model-Level Judge-Free Approach
Shijian Deng, Wentian Zhao, Yu-Jhe Li et al.
VaPR - Vision-language Preference alignment for Reasoning
Rohan Wadhawan, Fabrice Y Harel-Canada, Zi-Yi Dou et al.
Humans overrely on overconfident language models, across languages
Neil Rathi, Dan Jurafsky, Kaitlyn Zhou
Don’t lie to your friends: Learning what you know from collaborative self-play
Jacob Eisenstein, Reza Aghajani, Adam Fisch et al.
SuperBPE: Space Travel for Language Models
Alisa Liu, Jonathan Hayase, Valentin Hofmann et al.
From Queries to Criteria: Understanding How Astronomers Evaluate LLMs
Alina Hyk, Kiera McCormick, Mian Zhong et al.
The Dual-Route Model of Induction
Sheridan Feucht, Eric Todd, Byron C Wallace et al.
Task-Circuit Quantization: Leveraging Knowledge Localization and Interpretability for Compression
Hanqi Xiao, Yi-Lin Sung, Elias Stengel-Eskin et al.
EvidenceBench: A Benchmark for Extracting Evidence from Biomedical Papers
Jianyou Wang, Weili Cao, Kaicheng Wang et al.
Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample Creation
Shiven Sinha, Shashwat Goel, Ponnurangam Kumaraguru et al.
More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment
Yifan Wang, Runjin Chen, Bolian Li et al.
Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors
Fan Nie, Lan Feng, Haotian Ye et al.
Impact of LLM Alignment on Impression Formation in Social Interactions
Ala N. Tak, Anahita Bolourani, Daniel B. Shank et al.
NoWag: A Unified Framework for Shape Preserving Com- pression of Large Language Models
Lawrence Ray Liu, Inesh Chakrabarti, Yixiao Li et al.
Beyond Blanket Masking: Examining Granularity for Privacy Protection in Images Captured by Blind and Low Vision Users
Jeffri Murrugarra-Llerena, Haoran Niu, K. Suzanne Barber et al.
Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models
Ruikang Liu, Yuxuan Sun, Manyi Zhang et al.
Overfill: Two-Stage Models for Efficient Language Model Decoding
Woojeong Kim, Junxiong Wang, Jing Nathan Yan et al.
ReFeed: Multi-dimensional Summarization Refinement with Reflective Reasoning on Feedback
Taewon Yun, Jihwan Oh, Hyangsuk Min et al.
Task Vectors in In-Context Learning: Emergence, Formation, and Benefits
Liu Yang, Ziqian Lin, Kangwook Lee et al.
The Surprising Effectiveness of Membership Inference with Simple N-Gram Coverage
Skyler Hallinan, Jaehun Jung, Melanie Sclar et al.
Adaptively Coordinating with Novel Partners via Learned Latent Strategies
Benjamin Li, Shuyang Shi, Lucia Romero et al.
Unmasking Puppeteers: Leveraging Biometric Leakage to Expose Impersonation in AI-Based Videoconferencing
Danial Samadi Vahdati, Tai Nguyen, Ekta Prashnani et al.
HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations
Shuaicheng Zhang, Haohui Wang, Junhong Lin et al.
EnCompass: Enhancing Agent Programming with Search Over Program Execution Paths
Zhening Li, Armando Solar-Lezama, Yisong Yue et al.
InstanceAssemble: Layout-Aware Image Generation via Instance Assembling Attention
Qiang Xiang, Shuang Sun, Binglei Li et al.
Unbalanced Optimal Total Variation Transport: A Theoretical Approach to Spatial Resource Allocation Problems
Nhan-Phu Chung, Jinhui Han, Bohan Li et al.
A Cramér–von Mises Approach to Incentivizing Truthful Data Sharing
Alex Clinton, Thomas Zeng, Yiding Chen et al.
Cross City Traffic Flow Generation via Retrieval Augmented Diffusion Model
Yudong Li, Jingyuan Wang, Xie Yu et al.
LoSplit: Loss-Guided Dynamic Split for Training-Time Defense Against Graph Backdoor Attacks
Di Jin, Yuxiang Zhang, Bingdao Feng et al.
GTR-Loc: Geospatial Text Regularization Assisted Outdoor LiDAR Localization
Shangshu Yu, Wen Li, Xiaotian Sun et al.
Continual Release Moment Estimation with Differential Privacy
Nikita Kalinin, Jalaj Upadhyay, Christoph Lampert
SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering
Ruimeng Liu, Xin Zou, Chang Tang et al.
HybridNorm: Towards Stable and Efficient Transformer Training via Hybrid Normalization
Zhijian Zhuo, Yutao Zeng, Ya Wang et al.
Uncertainty-Informed Meta Pseudo Labeling for Surrogate Modeling with Limited Labeled Data
Xingyu Ren, Pengwei Liu, Pengkai Wang et al.
DeltaFormer: Unlock the state space of Transformer
Mingyu Xu, Tenglong Ao, Jiaao He et al.
MotionRAG: Motion Retrieval-Augmented Image-to-Video Generation
Chenhui Zhu, Yilu Wu, Shuai Wang et al.
Inductive Domain Transfer In Misspecified Simulation-Based Inference
Ortal Senouf, Antoine Wehenkel, Cédric Vincent-Cuaz et al.
Leader360V: A Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment
WEIMING ZHANG, Dingwen Xiao, Aobotao DAI et al.
Fuse2Match: Training-Free Fusion of Flow, Diffusion, and Contrastive Models for Zero-Shot Semantic Matching
Jing Zuo, Jiaqi Wang, Yonggang Qi et al.
Sound Logical Explanations for Mean Aggregation Graph Neural Networks
Matthew Morris, Ian Horrocks
Confounding Robust Deep Reinforcement Learning: A Causal Approach
Mingxuan Li, Junzhe Zhang, Elias Bareinboim
Smooth Quadratic Prediction Markets
Enrique Nueve, Bo Waggoner
Scalable Best-of-N Selection for Large Language Models via Self-Certainty
Zhewei Kang, Xuandong Zhao, Dawn Song
Siegel Neural Networks
Xuan Son Nguyen, Aymeric Histace, Nistor Grozavu
PMLF: A Physics-Guided Multiscale Loss Framework for Structurally Heterogeneous Time Series
Xinghong Chen, Weilin Wu, Kunping Yang et al.
Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules
Yueqi Zhang, Peiwen Yuan, Yiwei Li et al.
Contextual Tokenization for Graph Inverted Indices
Pritish Chakraborty, Indradyumna Roy, Soumen Chakrabarti et al.
Multi-Objective One-Shot Pruning for Large Language Models
Weiyu Chen, Hansi Yang, Yunhao Gou et al.
Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining
Raghuveer Thirukovalluru, Rui Meng, Ye Liu et al.
Generative Distribution Embeddings
Nic Fishman, Gokul Gowri, Peng Yin et al.
Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need
Kecheng Chen, Pingping Zhang, Hui Liu et al.
Improving Progressive Generation with Decomposable Flow Matching
Moayed Haji-Ali, Willi Menapace, Ivan Skorokhodov et al.
Beyond Last-Click: An Optimal Mechanism for Ad Attribution
Nan An, Weian Li, Qi Qi et al.
Sampled Estimators For Softmax Must Be Biased
Li-Chung Lin, Yaxu Liu, Chih-Jen Lin
Sequential Monte Carlo for Policy Optimization in Continuous POMDPs
Hany Abdulsamad, Sahel Mohammad Iqbal, Simo Sarkka
PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors
Hilal Asi, Vitaly Feldman, Hannah Keller et al.
Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality
Mincheol Park, Heeji Won, Won Woo Ro et al.
Defining and Discovering Hyper-meta-paths for Heterogeneous Hypergraphs
Yaming Yang, Ziyu Zheng, Weigang Lu et al.
Clustering via Hedonic Games: New Concepts and Algorithms
Gergely Csáji, Alexander Gundert, Jörg Rothe et al.
DevFD : Developmental Face Forgery Detection by Learning Shared and Orthogonal LoRA Subspaces
Tianshuo Zhang, Li Gao, Siran Peng et al.
vHector and HeisenVec: Scalable Vector Graphics Generation Through Large Language Models
Leonardo Zini, Elia Frigieri, Sebastiano Aloscari et al.
Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness
Stephen Pfohl, Natalie Harris, Chirag Nagpal et al.
GOATex: Geometry & Occlusion-Aware Texturing
Hyunjin Kim, Kunho Kim, Adam Lee et al.
Multimodal LiDAR-Camera Novel View Synthesis with Unified Pose-free Neural Fields
Weiyi Xue, Fan Lu, Yunwei Zhu et al.
Optimal Rates for Generalization of Gradient Descent for Deep ReLU Classification
Yuanfan Li, Yunwen Lei, Zheng-Chu Guo et al.
Aha! - Predicting What Matters Next: Online Highlight Detection Without Looking Ahead
Aiden Chang, Celso de Melo, Stephanie Lukin
I2VControl-Camera: Precise Video Camera Control with Adjustable Motion Strength
Wanquan Feng, Jiawei Liu, Pengqi Tu et al.
SIGMA: Selective Gated Mamba for Sequential Recommendation
Ziwei Liu, Qidong Liu, Yejing Wang et al.
RGB-Only Supervised Camera Parameter Optimization in Dynamic Scenes
Fang Li, Hao Zhang, Narendra Ahuja
Which Algorithms Have Tight Generalization Bounds?
Michael Gastpar, Ido Nachum, Jonathan Shafer et al.
Enhancing Consistency of Flow-Based Image Editing through Kalman Control
Haozhe Chi, Zhicheng Sun, Yang Jin et al.
Learning Interestingness in Automated Mathematical Theory Formation
George Tsoukalas, Rahul Saha, Amitayush Thakur et al.
From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review
Yaohui Zhang, Haijing ZHANG, Wenlong Ji et al.
Homogeneous Keys, Heterogeneous Values: Exploiting Local KV Cache Asymmetry for Long-Context LLMs
Wanyun Cui, Mingwei Xu
Localist Topographic Expert Routing: A Barrel Cortex-Inspired Modular Network for Sensorimotor Processing
Tianfang Zhu, Dongli Hu, Jiandong Zhou et al.
Controlled Visual Hallucination via Thalamus-Driven Decoupling Network for Domain Adaptation of Black-Box Predictors
Yuwu Lu, Chunzhi Liu
Effects of Dropout on Performance in Long-range Graph Learning Tasks
Jasraj Singh, Keyue Jiang, Brooks Paige et al.
The Price of Opportunity Fairness in Matroid Allocation Problems
Rémi Castera, Felipe Garrido-Lucero, Patrick Loiseau et al.
OmniTry: Virtual Try-On Anything without Masks
Yutong Feng, Linlin Zhang, Hengyuan Cao et al.
MobileODE: An Extra Lightweight Network
Le Yu, Jun Wu, Bo Gou et al.
Purest Quantum State Identification
Yingqi Yu, Honglin Chen, Jun Wu et al.
Aligning by Misaligning: Boundary-aware Curriculum Learning for Multimodal Alignment
Hua Ye, Hang Ding, Siyuan Chen et al.
Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features
Zixuan Xie, Xinyu Liu, Rohan Chandra et al.
Principled Model Routing for Unknown Mixtures of Source Domains
Christoph Dann, Yishay Mansour, Teodor Vanislavov Marinov et al.
Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?
Xi Chen, Kaituo Feng, Changsheng Li et al.
Vision as a Dialect: Unifying Visual Understanding and Generation via Text-Aligned Representations
Jiaming Han, Hao Chen, Yang Zhao et al.
HiMoLE: Towards OOD-Robust LoRA via Hierarchical Mixture of Experts
Yinuo Jiang, Yan Xiaodong, Keyan Ding et al.
Spike-RetinexFormer: Rethinking Low-light Image Enhancement with Spiking Neural Networks
Hongzhi Wang, Xiubo Liang, Jinxing Han et al.
TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model
Yichen Liu, Yan Lin, Shengnan Guo et al.
Gate to the Vessel: Residual Experts Restore What SAM Overlooks
Weili Jiang, Jinrong Lv, Xun Gong et al.
ShapeCraft: LLM Agents for Structured, Textured and Interactive 3D Modeling
Shuyuan Zhang, ChenHan Jiang, Zuoou Li et al.
What do you know? Bayesian knowledge inference for navigating agents
Matthias Schultheis, Jana-Sophie Schönfeld, Constantin Rothkopf et al.
Nearly-Linear Time and Massively Parallel Algorithms for $k$-anonymity
Kevin Aydin, Honghao Lin, David Woodruff et al.
BlurDM: A Blur Diffusion Model for Image Deblurring
Jin-Ting He, Fu-Jen Tsai, Yan-Tsung Peng et al.
A Beyond-Worst-Case Analysis of Greedy k-means++
Qingyun Chen, Sungjin Im, Ben Moseley et al.
Restricted Global-Aware Graph Filters Bridging GNNs and Transformer for Node Classification
Jingyuan Zhang, Xin Wang, Lei Yu et al.
Yggdrasil: Bridging Dynamic Speculation and Static Runtime for Latency-Optimal Tree-Based LLM Decoding
Yue Guan, Changming Yu, Shihan Fang et al.
Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers?
Yihao Li, Saeed Salehi, Lyle Ungar et al.
Lifelong Test-Time Adaptation via Online Learning in Tracked Low-Dimensional Subspace
Dexin Duan, Rui Xu, Peilin Liu et al.
Towards Reliable LLM-based Robots Planning via Combined Uncertainty Estimation
Shiyuan Yin, Chenjia Bai, Zihao Zhang et al.
Train on Pins and Test on Obstacles for Rectilinear Steiner Minimum Tree
Xingbo Du, Ruizhe Zhong, Junchi Yan
Beyond Node-Centric Modeling: Sketching Signed Networks with Simplicial Complexes
Wei Wu, Xuan Tan, Yan Peng et al.
KScope: A Framework for Characterizing the Knowledge Status of Language Models
Yuxin Xiao, Shan Chen, Jack Gallifant et al.
DenoiseRotator: Enhance Pruning Robustness for LLMs via Importance Concentration
Tianteng Gu, Bei Liu, Bo Xiao et al.
Where Does It Exist from the Low-Altitude: Spatial Aerial Video Grounding
Yang Zhan, Yuan Yuan
Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting
Jiahui Zhang, Zhengyang Zhou, Wenjie Du et al.
Quantifying and Alleviating Co-Adaptation in Sparse-View 3D Gaussian Splatting
Kangjie Chen, Yingji Zhong, Zhihao Li et al.
Scalable Signature Kernel Computations via Local Neumann Series Expansions
Matthew Tamayo-Rios, Alexander Schell, Rima Alaifari
DEGauss: Defending Against Malicious 3D Editing for Gaussian Splatting
Lingzhuang Meng, Mingwen Shao, Yuanjian Qiao et al.
Locally Optimal Private Sampling: Beyond the Global Minimax
Hrad Ghoukasian, Bonwoo Lee, Shahab Asoodeh
TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks
Xiang Meng, Mehdi Makni, Rahul Mazumder
Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Video Temporal Grounding
Jian Hu, Zixu Cheng, Shaogang Gong et al.
Prior-Guided Diffusion Planning for Offline Reinforcement Learning
Donghyeon Ki, JunHyeok Oh, Seong-Woong Shim et al.
Partition-Then-Adapt: Combating Prediction Bias for Reliable Multi-Modal Test-Time Adaptation
Guowei Wang, Fan Lyu, Changxing Ding
Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning
Yang Li, Aming WU, Zihao Zhang et al.
Seeing through Uncertainty: Robust Task-Oriented Optimization in Visual Navigation
Yiyuan Pan, Yunzhe XU, Zhe Liu et al.
AlignedGen: Aligning Style Across Generated Images
Jiexuan Zhang, Yiheng Du, Qian Wang et al.
An Adaptive Quantum Circuit of Dempster's Rule of Combination for Uncertain Pattern Classification
Fuyuan Xiao, Yu Zhou, Witold Pedrycz
Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation
Sanjana Ramprasad, Byron Wallace
MixPrompt: Efficient Mixed Prompting for Multimodal Semantic Segmentation
Zhiwei Hao, Zhongyu Xiao, Jianyuan Guo et al.
Factor Decorrelation Enhanced Data Removal from Deep Predictive Models
Wenhao Yang, Lin Li, Xiaohui Tao et al.
Wavy Transformer
Satoshi Noguchi, Yoshinobu Kawahara
Efficient Algorithms for Robust and Partial Semi-Discrete Optimal Transport
Pankaj Agarwal, Sharath Raghvendra, Pouyan Shirzadian et al.
Scalable Cross-View Sample Alignment for Multi-View Clustering with View Structure Similarity
Jun Wang, Zhenglai Li, Chang Tang et al.
Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery
Ming Hu, Zhengdi Yu, feilong tang et al.
Follow-the-Perturbed-Leader Nearly Achieves Best-of-Both-Worlds for the m-Set Semi-Bandit Problems
Jingxin Zhan, Yuchen Xin, Chenjie Sun et al.
Pro3D-Editor: A Progressive Framework for Consistent and Precise 3D Editing
Yang Zheng, Mengqi Huang, Nan Chen et al.
Estimation of Stochastic Optimal Transport Maps
Sloan Nietert, Ziv Goldfeld
UFT: Unifying Supervised and Reinforcement Fine-Tuning
Mingyang Liu, Gabriele Farina, Asuman Ozdaglar
Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning
Haochen Zhang, Zhong Zheng, Lingzhou Xue
Large Stepsizes Accelerate Gradient Descent for Regularized Logistic Regression
Jingfeng Wu, Pierre Marion, Peter Bartlett
First Attentions Last: Better Exploiting First Attentions for Efficient Parallel Training
Gyudong Kim, Hyukju Na, Jin Kim et al.
MotionBind: Multi-Modal Human Motion Alignment for Retrieval, Recognition, and Generation
Kaleab Kinfu, Rene Vidal
Neural Collapse under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data
Hancheng Min, Zhihui Zhu, Rene Vidal
SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations
Buyun Liang, Liangzu Peng, Jinqi Luo et al.
scGeneScope: A Treatment-Matched Single Cell Imaging and Transcriptomics Dataset and Benchmark for Treatment Response Modeling
Joel Dapello, Marcel Nassar, Ridvan Eksi et al.
Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation
Toshinori Kitamura, Arnob Ghosh, Tadashi Kozuno et al.
Generating Physically Sound Designs from Text and a Set of Physical Constraints
Gregory Barber, Todd Henry, Mulugeta Haile
Accident Anticipation via Temporal Occurrence Prediction
Tianhao Zhao, Yiyang Zou, Zihao Mao et al.
Topology-aware Graph Diffusion Model with Persistent Homology
Joonhyuk Park, Donghyun Lee, Yujee Song et al.
Online Mixture of Experts: No-Regret Learning for Optimal Collective Decision-Making
Larkin Liu, Jalal Etesami
Collective Counterfactual Explanations: Balancing Individual Goals and Collective Dynamics
Ahmad-Reza Ehyaei, Ali Shirali, Samira Samadi
Self supervised learning for in vivo localization of microelectrode arrays using raw local field potential
Tianxiao He, Malhar Patel, Chenyi Li et al.
Precise Diffusion Inversion: Towards Novel Samples and Few-Step Models
Jing Zuo, Luoping Cui, Chuang Zhu et al.
Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning
Marwa Abdulhai, Ryan Cheng, Donovan Clay et al.
Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks
Susmit Agrawal, Krishn Vishwas Kher, Saksham Mittal et al.
Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning
Amir Rezaei Balef, Claire Vernade, Katharina Eggensperger
Information Retrieval Induced Safety Degradation in AI Agents
Cheng Yu, Benedikt Stroebl, Diyi Yang et al.
Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees
Chenguang Duan, Yuling Jiao, Huazhen Lin et al.
Rethinking Approximate Gaussian Inference in Classification
Bálint Mucsányi, Nathaël Da Costa, Philipp Hennig
High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search
Xilin Xia, Jie Wang, Wanbo Zhang et al.
Stop DDoS Attacking the Research Community with AI-Generated Survey Papers
Jianghao Lin, Rong Shan, Jiachen Zhu et al.
Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
Chaewoon Bae, Doyun Choi, Jaehyun Lee et al.