Awesome Papers

Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data (2025)
Spencer Frei et al.
5.84
Helios: Real Real-Time Long Video Generation Model (2026)
Shenghai Yuan et al.
4.92
KBLaM: Knowledge Base augmented Language Model (2025)
Xi Wang et al.
2.26
ActionParty: Multi-Subject Action Binding in Generative Video Games (2026)
Alexander Pondaven et al.
2.05
WildDet3D: Scaling Promptable 3D Detection in the Wild (2026)
Weikai Huang et al.
1.29
DGAE: Diffusion-Guided Autoencoder for Efficient Latent Representation Learning (2026)
Dongxu Liu et al.
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MetaToolAgent: Towards Generalizable Tool Usage in LLMs through Meta-Learning (2026)
Zheng Fang et al.
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Gradient-Enhanced Partitioned Gaussian Processes for Real-Time Quadrotor Dynamics Modeling (2026)
Xinhuan Sang et al.
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Parameter-Efficient Fine-Tuning of DINOv2 for Large-Scale Font Classification (2026)
Daniel Chen et al.
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Computable Bernstein Certificates for Cross-Fitted Clipped Covariance Estimation (2026)
Even He et al.
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BFS-PO: Best-First Search for Large Reasoning Models (2026)
Fiorenzo Parascandolo et al.
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Efficient Logistic Regression with Mixture of Sigmoids (2026)
Federico Di Gennaro et al.
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ARM: Advantage Reward Modeling for Long-Horizon Manipulation (2026)
Yiming Mao et al.
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UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees (2026)
Prateek Chanda et al.
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Continuous-time Online Learning via Mean-Field Neural Networks: Regret Analysis in Diffusion Environments (2026)
Erhan Bayraktar et al.
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RAG-KT: Cross-platform Explainable Knowledge Tracing with Multi-view Fusion Retrieval Generation (2026)
Zhiyi Duan et al.
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Sci-Reasoning: A Dataset Decoding AI Innovation Patterns (2026)
Jiachen Liu et al.
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Does Inference Scaling Improve Reasoning Faithfulness? A Multi-Model Analysis of Self-Consistency Tradeoffs (2026)
Deep Mehta
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RealMem: Benchmarking LLMs in Real-World Memory-Driven Interaction (2026)
Haonan Bian et al.
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Can Textual Reasoning Improve the Performance of MLLMs on Fine-grained Visual Classification? (2026)
Jie Zhu et al.
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Mecellem Models: Turkish Models Trained from Scratch and Continually Pre-trained for the Legal Domain (2026)
Özgür Uğur et al.
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DeepSearchQA: Bridging the Comprehensiveness Gap for Deep Research Agents (2026)
Nikita Gupta et al.
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WorldBench: Disambiguating Physics for Diagnostic Evaluation of World Models (2026)
Rishi Upadhyay et al.
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MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods (2026)
Honglin Lin et al.
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DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation (2026)
Haozhe Xie et al.
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Context Compression via Explicit Information Transmission (2026)
Jiangnan Ye et al.
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Optimal Turkish Subword Strategies at Scale: Systematic Evaluation of Data, Vocabulary, Morphology Interplay (2026)
Duygu Altinok
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VecGlypher: Unified Vector Glyph Generation with Language Models (2026)
Xiaoke Huang et al.
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Words & Weights: Streamlining Multi-Turn Interactions via Co-Adaptation (2026)
Chenxing Wei et al.
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Phi-4-reasoning-vision-15B Technical Report (2026)
Jyoti Aneja et al.
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4DEquine: Disentangling Motion and Appearance for 4D Equine Reconstruction from Monocular Video (2026)
Jin Lyu et al.
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Automatic Generation of High-Performance RL Environments (2026)
Seth Karten et al.
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DVD: Deterministic Video Depth Estimation with Generative Priors (2026)
Hongfei Zhang et al.
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Working Notes on Late Interaction Dynamics: Analyzing Targeted Behaviors of Late Interaction Models (2026)
Antoine Edy et al.
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AIBench: Evaluating Visual-Logical Consistency in Academic Illustration Generation (2026)
Zhaohe Liao et al.
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FORGE:Fine-grained Multimodal Evaluation for Manufacturing Scenarios (2026)
Xiangru Jian et al.
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Cross-Modal Emotion Transfer for Emotion Editing in Talking Face Video (2026)
Chanhyuk Choi et al.
0.00
EXAONE 4.5 Technical Report (2026)
Eunbi Choi et al.
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Precise Debugging Benchmark: Is Your Model Debugging or Regenerating? (2026)
Wang Bill Zhu et al.
0.00
Modeling Multiple Support Strategies within a Single Turn for Emotional Support Conversations (2026)
Jie Zhu et al.
0.00
Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence (2026)
Guanting Dong et al.
0.00
MultiWorld: Scalable Multi-Agent Multi-View Video World Models (2026)
Haoyu Wu et al.
0.00
Safety Drift After Fine-Tuning: Evidence from High-Stakes Domains (2026)
Emaan Bilal Khan et al.
0.00
Compliance versus Sensibility: On the Reasoning Controllability in Large Language Models (2026)
Xingwei Tan et al.
0.00
Instruction-Guided Poetry Generation in Arabic and Its Dialects (2026)
Abdelrahman Sadallah et al.
0.00
Claw-Eval-Live: A Live Agent Benchmark for Evolving Real-World Workflows (2026)
Chenxin Li et al.
0.00
LongMemEval-V2: Evaluating Long-Term Agent Memory Toward Experienced Colleagues (2026)
Di Wu et al.
0.00
PRISM: Prior Rectification and Uncertainty-Aware Structure Modeling for Diffusion-Based Text Image Super-Resolution (2026)
Zihang Xu et al.
0.00
PanoWorld: Towards Spatial Supersensing in 360^circ Panorama World (2026)
Changpeng Wang et al.
0.00
Unlocking Complex Visual Generation via Closed-Loop Verified Reasoning (2026)
Hanbo Cheng et al.
0.00
High-Performance Tensor Contraction without Transposition (2025)
Devin A. Matthews
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Structured adaptive and random spinners for fast machine learning computations (2025)
Mariusz Bojarski et al.
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Joint auto-encoders: a flexible multi-task learning framework (2026)
Baruch Epstein et al.
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Online Dynamic Programming (2025)
Holakou Rahmanian et al.
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Multiple-Instance, Cascaded Classification for Keyword Spotting in Narrow-Band Audio (2025)
Ahmad AbdulKader et al.
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Drug Selection via Joint Push and Learning to Rank (2025)
Yicheng He et al.
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tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow (2025)
You Xie et al.
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Efficient Time-Series Approximation with Linear Recurrent Neural Networks: Architecture Learning and Predictive Power (2025)
Frieder Stolzenburg et al.
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HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation (2025)
Weijie J. Su and Yuancheng Zhu
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Deep Learning using Rectified Linear Units (ReLU) (2026)
Abien Fred Agarap
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SUNLayer: Stable denoising with generative networks (2026)
Ruhui Jin et al.
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Deep Multimodal Subspace Clustering Networks (2025)
Mahdi Abavisani et al.
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Blended Conditional Gradients: the unconditioning of conditional gradients (2025)
G\'abor Braun et al.
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Deep Learning Estimation of Absorbed Dose for Nuclear Medicine Diagnostics (2026)
Luciano Melodia
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Tight Regret Bounds for Bayesian Optimization in One Dimension (2025)
Jonathan Scarlett
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The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization (2025)
Constantinos Daskalakis and Ioannis Panageas
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Safe RuleFit: Learning Optimal Sparse Rule Model by Meta Safe Screening (2025)
Hiroki Kato et al.
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Network Distance Based on Laplacian Flows on Graphs (2025)
Dianbin Bao et al.
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CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning (2026)
C\'edric Colas et al.
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Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data (2025)
Santiago Silva et al.
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Relative Importance Sampling for off-Policy Actor-Critic in Deep Reinforcement Learning (2025)
Mahammad Humayoo et al.
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Efficient Kernel Learning from Side Information Using ADMM (2026)
En-Liang Hu
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A Learning Framework for Distribution-Based Game-Theoretic Solution Concepts (2025)
Tushant Jha et al.
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Improving Machine Hearing on Limited Data Sets (2025)
Pavol Harar et al.
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Domain Independent SVM for Transfer Learning in Brain Decoding (2025)
Shuo Zhou et al.
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Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networks (2025)
Rodolfo Valiente et al.
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Max-Sliced Wasserstein Distance and its use for GANs (2025)
Ishan Deshpande et al.
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Predicting human decisions with behavioral theories and machine learning (2025)
Ori Plonsky et al.
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Deep Sparse Representation-based Classification (2025)
Mahdi Abavisani and Vishal M. Patel
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An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments (2025)
Andrea Bajcsy et al.
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Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning (2025)
Mohammad Jafari et al.
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Machine Learning Cryptanalysis of a Quantum Random Number Generator (2025)
Nhan Duy Truong et al.
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Naive Feature Selection: a Nearly Tight Convex Relaxation for Sparse Naive Bayes (2025)
Armin Askari et al.
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A Geometric Modeling of Occam's Razor in Deep Learning (2025)
Ke Sun and Frank Nielsen
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Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks (2025)
Pu Zhao et al.
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Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder (2025)
Shichen Cao et al.
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Architecture Selection via the Trade-off Between Accuracy and Robustness (2025)
Zhun Deng et al.
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Image-Adaptive GAN based Reconstruction (2026)
Shady Abu Hussein et al.
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Learning-Driven Exploration for Reinforcement Learning (2025)
Muhammad Usama and Dong Eui Chang
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Visual Space Optimization for Zero-shot Learning (2025)
Xinsheng Wang et al.
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Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations (2025)
Shigang Li et al.
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MTCNET: Multi-task Learning Paradigm for Crowd Count Estimation (2025)
Abhay Kumar et al.
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Scientific Statement Classification over arXiv.org (2025)
Deyan Ginev et al.
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Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification (2025)
Eduardo H. P. Pooch et al.
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AutoGMM: Automatic Gaussian Mixture Modeling in Python (2025)
Tingshan Liu et al.
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Restricted Minimum Error Entropy Criterion for Robust Classification (2025)
Yuanhao Li et al.
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Learning Concepts Definable in First-Order Logic with Counting (2025)
Steffen van Bergerem
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Active learning for level set estimation under input uncertainty and its extensions (2025)
Yu Inatsu et al.
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Reformulation of RBM to Unify Linear and Nonlinear Dimensionality Reduction (2026)
Jiangsheng You et al.
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Drawing Early-Bird Tickets: Towards More Efficient Training of Deep Networks (2025)
Haoran You et al.
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