| 1 | Precision in Rice Variety Classification using Stacking-Based Ensemble Learning | Md. Masudul Islam, Galib Muhammad Shahriar Himel, Md. Golam Moazzam +1 | cs.CV | 2026-09-09 |
| 2 | IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier | Blake Stenstrom, Charangan Vasantharajan, Brian Sathianathan | cs.CL | 2026-09-09 |
| 3 | Forgetting Only What Matters: Layer-Selective Unlearning toward Robust LLMs | Ravi Ranjan, Olivera Kotevska, Agoritsa Polyzou | cs.LG | 2026-09-09 |
| #4 | Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization | Ayan Majumdar, Shounak Paul, Pushpdeep Singh +6 | cs.CL | 2026-09-09 |
| #5 | Data-Driven Risk Fields for Safer End-to-End Autonomous Driving | Yuanxin Tian, Zhiyuan Liu, Jinhao Li +3 | cs.RO | 2026-09-09 |
| #6 | OmniMed-FL: A Robust Multimodal Federated Learning Framework for Clinical Diagnosis | Ayush Debnath, Ruelia Saha, Sudip Misra | cs.LG | 2026-09-09 |
| #7 | A Later Test Set Is Not a New Domain: Pretraining Familiarity Survives a Contamination-Free Hold-Out | Mahdi Naser Moghadasi, Faezeh Ghaderi | cs.LG | 2026-09-09 |
| #8 | Learning to Adapt and Calibrate: Score Distribution Alignment for Few-Shot Uncertainty Prediction in Medical VLMs | Xuan Cuong Ngo, Ngan Le | cs.CV | 2026-09-09 |
| #9 | Decoupled Self-Forcing Distillation for Streaming Talking Head Generation | Yanru An, Ruiyan Wang, Wenwu Wei +7 | cs.CV | 2026-09-09 |
| #10 | View-Structured Conformal Prediction for 3D Gaussian Splatting | Junzheng Chu, Bin Pan, Zhenwei Shi | cs.LG | 2026-09-09 |
| #11 | GANDR: Claim Auditing for Verifiable Legal Answer Generation | Chen Qian, Yimeng Wang, Yu Chen +2 | cs.CL | 2026-09-09 |
| #12 | KVShareArena: KV-Cache Reuse Across Contexts and Model Checkpoints | Xi Shi, Qian Lou | cs.CL | 2026-09-09 |
| #13 | What Should an Agent Forget? Separating What Is Stored from What Is Used | Yuhang Li, Yuchen Li | cs.AI | 2026-09-09 |
| #14 | The Answer Path and the Grounding Instruction in LLM Question Answering over Knowledge Graphs | Arquimedes Canedo | cs.CL | 2026-09-09 |
| #15 | Why Sample What You Can Enumerate? Exact Policy Optimization for Genomic Tool Selection | Haoyue Liu, Xiaoyu Ma, Ye Chen +2 | cs.AI | 2026-09-09 |
| #16 | Kernel-Managed Shared Memory for System-Wide Personalization | Ryan Lum, Yongfeng Zhang | cs.AI | 2026-09-09 |
| #17 | TransGaze-Object: Transformer Based Driver Gaze Object Prediction Framework in Real Driving | Pavan Kumar Sharma, Ayush Pande, Pranamesh Chakraborty | cs.CV | 2026-09-09 |
| #18 | Agent-Based ML-LLM Fusion with Self-Optimizing Prompts for Plateau Weather Alerts | Shuai Yan, Yang Xu, Shan He | cs.AI | 2026-09-09 |
| #19 | Zero-Shot Temporal Localisation of Audio Deepfakes in Multi-Speaker Conversations | Soumyadeep Roy | cs.SD | 2026-09-09 |
| #20 | Elastoformer: Enabling Dynamic Adaptivity via Elastic Model Transformation | Sudaksh Kalra, Dolly Sapra | cs.CV | 2026-09-09 |
| #21 | MetroLLM-Bench: Evaluating Language Models as Transit Kiosk Runtimes | Remco Hendriks | cs.LG | 2026-09-09 |
| #22 | An Explainable Machine Learning Framework for Predicting Blood-Brain Barrier Permeability Using Molecular Descriptors | Fatemeh Mahmoudi | cs.LG | 2026-09-09 |
| #23 | Time-Frequency Geometric Cross-Attention for Chunked Vision-Language-Action Models | Shengye Dong, Haochen Niu, Hao Liu +3 | cs.AI | 2026-09-09 |
| #24 | FlowCPO: A Unified Divergence View of Preference Alignment for Flow Models | Yansen Han, Shengyi Liao, Peng Sun +4 | stat.ML | 2026-09-09 |
| #25 | Deep and shallow biases in language models | An Vo, Vy Tuong Dang, Khai-Nguyen Nguyen +4 | cs.CL | 2026-09-09 |
| #26 | Forward-Free LLM Depth Pruning via Weight Redundancy | Vincent-Daniel Yun, Woosang Lim | cs.LG | 2026-09-09 |
| #27 | Scored vs. Generated Readouts in Behavioral Language Models: An Empirical Study of Elicitation Format | Touchapon Kraisingkorn, Krittin Pachtrachai, Wachiravit Modecrua | cs.AI | 2026-09-09 |
| #28 | AgentAudit: An Open, Extensible Framework for Full-Lifecycle Trust Evaluation of AI Agents | Shrey Nag, Sachita, Abhishek Kumar Singh +2 | cs.AI | 2026-09-09 |
| #29 | With a Thermomix You Lose the Ability to Cook: A Kitchen Machine Analogy for Applications of Generative AI in Education | Nikol Rummel, Valentina Nachtigall, Ernesto Panadero | cs.CY | 2026-09-09 |
| #30 | The Era by Eon Benchmark: A Generated Enterprise Estate with Exact Ground Truth for Benchmarking LLM Agents | Benjamin Gruenbaum, Doron Porat, Assaf Natanzon +3 | cs.AI | 2026-09-09 |
| #31 | Subgroup Membership Inference Audits of Differentially Private Synthetic Text | Yidan Sun, Viktor Schlegel, Srinivasan Nandakumar +2 | cs.CR | 2026-09-09 |
| #32 | In Medical Claims Data, Enhancing Predictive Performance for Major Adverse Cardiovascular Events Using Cross Attention | Yuhei Fujioka, Daitaro Misawa, Tatsuyoshi Ikenoue +1 | cs.LG | 2026-09-09 |
| #33 | UnitBoost: Managing Compound LLM Systems with a Merge Operator, Not a Model | Xing Zhang, Guanghui Wang, Yanwei Cui +2 | cs.AI | 2026-09-09 |
| #34 | Fine-Tuning a KV Cache Concatenation-Aware Model or Recomputing KV Caches? Why Not Both? | Fumihiko Tachibana, Daisuke Miyashita, Jun Deguchi | cs.LG | 2026-09-09 |
| #35 | CARRE: Counterfactual Action Retrieval and Reason Evaluation for Explainable Churn Prescription | MinJoo Kim, SanJin Park, SeungHwan Cho | cs.CL | 2026-09-09 |
| #36 | EFQ-Softmax: Exp-Free Quantization for Softmax | Haohui Han, Yuming Wan, Hongni Wang +4 | cs.LG | 2026-09-09 |
| #37 | Kernel-Complexity Edge Sanitization for Training-Free Defense against Structural Graph Attacks | Yaning Jia, Shenyang Deng, Yaoqing Yang +3 | cs.LG | 2026-09-09 |
| #38 | Safe to Stop? Risk-Constrained Stopping for Sequential Clinical Diagnosis Agents | Yuexin Wu, Vasile Rus | cs.AI | 2026-09-09 |
| #39 | SEA-SpeechBench: A Large-Scale Multitask Benchmark for Speech Understanding Across Southeast Asia | Jingyi Liao, Wenyu Zhang, Zhuohan Liu +6 | cs.CL | 2026-09-09 |
| #40 | RobustSGPO: Search-Space Control for Agent Harness Evolution | Zibo Zhao, Jijun Shi, Mo Zhou +9 | cs.AI | 2026-09-09 |
| #41 | Marker-free eye-gaze estimation using a single image and depth from defocus | David Hurtubise-Martin, Feriel Fass, Djemel Ziou +1 | cs.CV | 2026-09-09 |
| #42 | Differentially Private Average Treatment Effect Estimation by Propensity Score Blocking | Duncan Stewardson, Grayson W. White, Adam Groce | stat.ME | 2026-09-08 |
| #43 | CHIMERA Challenge Task 2 and 3: Response Subtypes Classification and Progression Survival Prediction in Bladder Cancer Patients using Multimodal Datasets | Catherine Chia, Tongjie Wang, Robert Spaans +12 | eess.IV | 2026-09-08 |
| #44 | Infra-Bench CLS: A Global, Open-Source Benchmark for Critical Infrastructure Classification with Earth Observation Foundation Models | Justin Guthrie, Edward Oughton, Konrad Wessels +2 | cs.CV | 2026-09-08 |
| #45 | Gaussian Approximation for Multivariate Martingale Sums from Uniformly Ergodic Markov Chains | Yixuan Zhang, Qiaomin Xie | math.PR | 2026-09-08 |
| #46 | Concept drift mitigation through community and spectral graph analysis for the detectionof cyberattacks in network traffic | Julien Michel, Abdul Qadir Khan, Majed Jaber +1 | cs.CR | 2026-09-08 |
| #47 | Edu-QuRating: Multi-Dimensional Educational Data Curation with Distilled Pairwise Judgements | Oliver G. B. Garrod, Robin A. A. Ince, Meng Liu +5 | cs.CL | 2026-09-08 |
| #48 | Vision-language models know more about agriculture than they show and rubric-grounded verifications close the gap | Earl Ranario, Jared Smith, Lars Lundqvist +1 | cs.CV | 2026-09-08 |
| #49 | X-amine509: Predicting the Practical Risk Level of Enterprise X.509 Certificates | Cameron Keith, Shubh Patel, JD Kilgallin +1 | cs.CR | 2026-09-08 |
| #50 | VANTAGE-Bench: Evaluating the Infrastructure AI Gap in Vision-Language Models | Zaid Pervaiz Bhat, Nimra Nayyar, Arihant Jain +6 | cs.CV | 2026-09-08 |