Key papers

• ISO: An RLVR-Native Optimization Stack (2026)
  Hanqing Zhu et al.
  8.80
• H$^2$SD: Hybrid Hindsight Self-Distillation (2026)
  Qiye Cai et al.
  8.51
• NexForge: Scaling Agent Capabilities through Requirement-Driven Task Synthesis for LLMs (2026)
  Jiarong Zhao et al.
  7.90
• Weak-to-Strong Learning in Decision Making (2026)
  Jingwei Ji et al.
  6.17
• A Controlled Study of Attention-Only Transformers (2026)
  Henry Ndubuaku et al.
  5.90
• Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches (2026)
  Rick Wilming et al.
  4.95
• Measuring Reward-Seeking via Contrastive Belief Updates (2026)
  Axel H{\o}jmark et al.
  4.95
• Is Quantum Optimization Ready? An Effort Towards Neural Network Compression using Adiabatic Quantum Computing (2025)
  Zhehui Wang et al.
  4.87
• Staleness-Learning Rate Scaling Laws for Asynchronous RLHF (2026)
  Jingwei Song et al.
  4.33
• Domain Knowledge Based Temporal-Spatial Graph Convolution Network for ECG Recognition (2026)
  Wenting Ma et al.
  4.33
• Rank-Then-Act: Reward-Free Control from Frame-Order Progress (2026)
  Yuriy Maksyuta et al.
  4.33
• Evidence-State Rewards for Long-Context Reasoning (2026)
  Ya Gao et al.
  4.33
• A rubric-based controlled comparison of frontier language models on expert-authored clinical reasoning tasks (2026)
  Samiha A. Ismail et al.
  4.33
• DBNN: Neural Spike Classification Using a Deep Binarized Neural Network (2026)
  Binyi Ren et al.
  4.33
• X-FEMR: A Token-level Explainable Approach for Electronic Health Records Foundation Models using Transformer-based Models (2026)
  Jie Huang et al.
  4.33
• AI for Cultural Heritage Textiles: Fine-Tuned Latent Diffusion for Novel Ulos Motif Synthesis (2026)
  Humasak Tommy Argo Simanjuntak et al.
  4.33
• Calibration-Family Overfit: Why Trusted Sabotage Monitors Don't Transfer Across Lineages (2026)
  Lucas Pinto
  4.33
• TriRoute: Unified Learned Routing for Joint Adaptive Attention, Experts, and KV-Cache Allocation (2026)
  Andrii Balashov et al.
  4.33
• Audio Sentiment Analysis via Distillation and Cross-Modal Integration of Generated Multilingual Transcripts (2026)
  Andrei-George Durdun et al.
  4.33
• STAGformer: A Spatio-temporal Agent Graph Transformer for Micro Mobility Demand Forecasting (2026)
  Ye Zihao
  4.33
• WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning (2026)
  Sangwoo Lee et al.
  4.33
• HiFuzz: Hierarchical Reinforcement Learning for Semantic-Aware and Adaptive CPU Fuzzing (2026)
  Ya Wang et al.
  4.33
• Open-Ended Scenario Reasoning for Specialist Model Adaptation (2026)
  Youcheng Zong et al.
  4.33
• Cross-Trajectory Chimera Interventions Reveal Dissociable Roles of Weight Magnitude and Direction in Grokking (2026)
  Truong Xuan Khanh
  4.33
• STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning (2026)
  Roy Segal et al.
  4.33
• When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models (2026)
  Jasmeet Singh Bindra
  4.33
• Optimized Instance Alteration for Explaining and Assessing Robustness of Classifiers (2026)
  Evgenii Kuriabov et al.
  4.33
• UASPL: Uncertainty-Aware Self-Paced Learning with Evidential Neural Networks (2026)
  Yifan Zhang et al.
  4.33
• At-Grok Is Not Converged:A Measurement-Validity Audit for Grokking Representation Metrics (2026)
  Truong Xuan Khanh
  4.33
• The Rank-One Corner: How Much Value Equivalence Does a Task Need from a World Model? (2026)
  Donna Vakalis
  4.33
• Automated Tensor Scheduling for Hybrid CPU-GPU LLM Inference on Consumer Devices (2026)
  Yangyijian Liu et al.
  4.33
• Can a Language Model Learn Facts Continually in Its Weights? (2026)
  Charles O'Neill
  4.33
• Bringing Back Rule Induction to Fluid Intelligence Research? An Initial Validation of the ARC-AGI Benchmark in Humans (2026)
  Jasmin Thelen et al.
  4.33
• OmniPMNet: Bridging discrete and gridded PM10 forecasts via omni-query neural processes (2026)
  Shuangshuang He et al.
  4.33
• Semidirect Fourier Delta Attention: Phase-Controlled Delta Memory with Constructive Chunk-WY Kernels (2026)
  Tiantian Zhang
  4.33
• AAAI-26 Dual Submissions: Novel Challenges (2026)
  Kiri L. Wagstaff et al.
  4.33
• CARE-LoRA: Compressed Activation REconstruction for Memory-Efficient LoRA (2026)
  Gengyu Zhang et al.
  4.33
• Scale-Aware Attention for Scarce Neural Data: An RG-Flow Transformer on Sleep-EDF EEG (2026)
  Dibakar Sigdel
  4.33
• When Does Reward Teach State? A Hidden-Automaton Instrument and the Group-Language Boundary (2026)
  Jim Allchin
  4.33
• Graph-Constrained Policy Learning for Extreme Clinical Code Prediction (2026)
  Amritpal Singh et al.
  4.33
• Constructed Reality, Contested Priors: Decoupling and the Architecture of Cognitive Relapse Under the Free Energy Principle (2026)
  MD Ibrahim Hossain Ridoy
  4.33
• LIDAR-AD: A Decoder-Free Latent-Interaction Dreamer with Action-Residual Chains for Autonomous Driving (2026)
  Yongzhi Liu et al.
  4.33
• Gene Expression-Informed Jointly Controlled Generative Modeling for Precision Molecular Design (2026)
  Hang Yuan et al.
  4.33
• Mitigating The Effect of Class Imbalance in Data with Hierarchical and Dependable Structure (2026)
  Bipin Chhetri et al.
  4.33
• Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs (2026)
  Nikita Kozodoi et al.
  4.33
• Sparse Autoencoders for Interpretable Out-of-Distribution Detection (2026)
  Ayush Karmacharya (Purdue University) et al.
  4.33
• Continual Learning with Elastic Regularization and Synthetic Replay for Federated MLLM Fine-Tuning (2026)
  Jing Liu et al.
  4.33
• From Geometric Recovery to Causal Validation: A Reproducible Audit of Sparse Autoencoder Features, from Superposition Geometry to Causal Inertness (2026)
  Mohamed Abdessalem Bal
  4.33
• Forgetful Attention: A Trainable Support-Vector Memory with Certified Selection and Exact Unlearning (2026)
  Vishwajith Ramesh
  4.33
• Speculate with Memory: Lossless Acceleration for LLM Agents (2026)
  Yu Li et al.
  4.33
• The Sound of Absence: Audio-Language Embedding Models Struggle with Negation (2026)
  Chun-Yi Kuan et al.
  4.33
• Generating Developable 3D Molecules via Pocket-Conditioned Diffusion and Property-Aware Optimization (2026)
  Ruoxi Gao et al.
  4.33
• Differentiable Clone-Structured Causal Graphs for End-to-End Cognitive Map Learning from Image Sequences (2026)
  Arash Nikzad et al.
  4.33
• From Preimage Search To Source-Grounded Feature Inversion (2026)
  Kaixiang Shu
  4.33
• Lightweight Multi-Scale Anomaly Detection for Resource-Constrained Edge Devices (2026)
  Raheen Junaid Wani et al.
  4.33
• AdaPCLA: Adaptive Prior-Calibrated Logit Adjustment for Long-Tailed Longitudinal EHR Generation (2026)
  Shuai Cui et al.
  4.33
• Extractable Memorization From First Principles (2026)
  A. Feder Cooper et al.
  4.33
• Learning-based Probabilistic Load Forecasting with Post-hoc and In-model Uncertainty (2026)
  Sarah Al-Shareeda et al.
  4.33
• What Makes a Representational Prior Work? Feature Families, Label-Free Invariances, and Critical Windows in Grokking (2026)
  Gunner Levi Howe
  4.33
• AVQ-Attention: Adaptive Vector-Quantized Attention (2026)
  Winfried van den dool et al.
  4.33