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AI research papersOriginal sources. A clear timeline.
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Recent AI research papers
arXiv · cs.AI / cs.CL / cs.LGPreprints are research claims, not peer-review endorsements. Open each original for the abstract, methods and license.
An Explainable Header-Centric Framework for Large-Scale Semantic Table Interpretation and Data Quality Assessment
Marcelo Valentim Silva, Hannes Herrmann, Valerie Maxville
Teaching PPG How not Who: Fixed-Effects Distillation from ECG
Zhongli Wu, Zhuangzhi Gao, Yuankai Wang, Gregory Y. H. Lip, Bilal H. Kirmani, Yalin Zheng
Beyond the Ergodic Wall: A Discrete Geometric Physics Sandbox for Analysing AI Scaling Limits and Complexity Collapse
Simon Richard Daniel
Clarify, Then Focus: Statement Normalization for Conversation Analytics at Scale
Mikhail L. Arbuzov (Independent researcher), Karan Dave (Independent researcher), Evgeniya Dontsova (Independent researcher), Yaodong Hu (Independent researcher), Vincent Lao (Independent researcher), Navita Jain (Independent researcher), Sisong Bei (Independent researcher), Dmitry Dimov (Independent researcher)
Verification and Self-Improvement in Agentic AI: Foundations and Limits
Chien-Ping Lu
Conversational Task Disambiguation over Tabular Data: Leakage-Aware Formulation, Benchmark Suite, and Training
Nafiseh Ghoroghchian, Luis Scoccola, Tina Sedaghat, Omid Vaheb, Hannah Chen, Dino D'Agostino, Keyvan Golestan
Beyond Owls: Subliminal Learning Can Transfer Learned Capabilities and Backdoors
Jan Dubi\'nski, Anna Sztyber-Betley, Jan Betley, Owain Evans
The Harness as the Only Mutable Surface: Compliance-Bounded Self-Evolution of LLM Agents in Credit Pipelines, with a Measured Admission Gate
Ravil Akhtyamov
Cognitive Thermometers: Machine Learning and Logical Complexity
Shane Steinert-Threlkeld, Jakub Szymanik
Phase-HDC: Replacing Optimizer History with Gradient Thresholds in Discrete Phase Learning
Ahmed Nebli
Coverage, Not Difficulty, Sets How Much Synthetic Data an Activation Probe Needs
Ankush Checkervarty
Synthesis Through Simulation: Generating Coherent Enterprise Data via Scalable Agent-System Interaction
Yipeng Li, Ashutosh Hathidara, Jane Lo, Harshavardhan Abichandani, Gunraj Singh, Atin Ghosh
Visible Reasoning Is Not a Universal Optimizer: Persona- and Thinking-Dependent Effects in Analytics Code Generation
Bhawani Shankar Leelar, Pawan Chorasiya, Davin Hill, Robert E. Tillman, Tamer Soliman
Diffu-LoRA: A Novel Low-Rank Adaptation for Personalized Diffusion Models
Tianjing Li, Wei Zhu
Wieszcz-XIX: A 3.1-Billion-Word Corpus of Pre-1918 Polish and Temporally Bounded Language Models Trained From Scratch
Szymon Kocur
Freeze the Decoder, Heal the Encoder: Parameter-Efficient Adaptation for SVD-Based KV-Cache Compression
Yufeng Wang
PXtal: Learning to Align Powder X-Ray Diffraction and Crystal Structures under Information Asymmetry across Modalities
Zhuoran Yang, Christopher M. Collins, Bei Peng, Luke M. Daniels, Matthew J. Rosseinsky, Vladimir V. Gusev
Leakage-Controlled Multimodal Learning for Diagnosis and Progression Prediction in Alzheimer's Disease Research
Akeem Temitope Otapo, Ghazaleh Khodabandelou, Zuheng Ming, Alice Othmani
NEMORA: Neural Equivariant Multipole Operators for Long-Range Atomistic Learning
Jay L. Kaplan, Samuel Varner, Rebecca Willett, Juan J. de Pablo
Self-Organization from Constrained Geometric Radiation
Ming Lei
Temporal transformer CAN encoder with federated lightweight heads for anomaly detection
Konstantinos Gyftodimos, Kyriakos Chiotis, Elena Politi, George Dimitrakopoulos, Eirini Liotou
When Routing Reveals Membership: Privacy Leakage from MoE Router Telemetry
Yixin Tan, Jiayang Liu, Lu Sun, Yuke Hu, Zheng Li, Rui Wen
Recurrent Self-Improvement: Dynamic Cross-Loop On-Policy Distillation for Looped Language Models
Yi Wang, Rui Qian, Yu Li, Haoyang Yao, Wenjie Wang
Nullify: Null-Space Activation Steering for Training-Free LLM Unlearning
Wei Zhai, Xiang Liu, Qiang Huang, Rui Qian, Lemao Liu, Ziwei Li, Ziqi Wang, Zhitao Huang, Dejing Dou
Agent-Controlled Forgetting for Tool-Using Agents: Reversible Context Curation in Practice
Jan-Peter Franke
D-SLR: The Disjoint Row-Sparse plus Low-Rank Decomposition
Vincent Szolnoky
Learning infinite context windows in recurrent architectures via spatial neural computing
Aleix Salvador-Pomarol, Arthur N. Montanari, Earl K. Miller, Adilson E. Motter, Jorge Cort\'es
Coverage-Aware Reasoning with Medical Tokens for Diagnosis Prediction
Kaisong Zhang, Haotian Fang, Junmeng Zhou, Hang Lv, Yulan Pan, Yanchao Tan
SPERA: Spherical Prior EEG Foundation Model with Geometry- and Frequency-Aware Latent Prediction
Minsu Kim, Ye-Sung Kim, Hyeseong Jeon, Wooseok Hyung, Joshua Lee, Chang-Hwan Im
Exact SO(3)-Equivariant Isotropic Kernels for Rotation-Robust Neural Dynamics
Ridham Patel
Speaking the Navigator's Language: Trajectory-Grounded Instruction Translation for Frozen Aerial VLN Agents
Xi Chen, Zhe Liu, Xiaogang Xu, Jiafei Xu, Chunyi Zhou, Yuan Su, Rui Zeng, Tianyu Du, Kelu Yao, Chao Li, Shouling Ji
Sample-Efficiency of Kolmogorov-Arnold Networks
Kevin Riehl, Shaimaa K. El-Baklish, Fan Wu, Anastasios Kouvelas
Lossy Compressive Text Autoencoders
Vinko Sabol\v{c}ec, Angelos Katharopoulos, David Grangier
Explaining the Saliency Map Sparsity of Adversarially-Trained Neural Networks
Yannick Lunk, Atell Yehor Krasnopolsky, Damien Garreau, Leon Bungert
Large Language Model-Assisted Preparation of Transportation Management Plans: A Case Study with WisDOT WisTMP System
Zihao Sheng, Pei Li, Zilin Huang, Yen-Jung Chen, Yuhao Luo, Zhengyang Wan, Steven T. Parker, David A. Noyce, Sikai Chen