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Research

Papers

Publications linked to models, labs and benchmarks. Authors, venues and abstracts come from arXiv and publisher pages; model links come from model cards citing the paper.

341 papers

Papers
TitleAuthorsOrganizationPublishedIntroduces Models (and artifacts) whose model card or documentation cites this paper — inbound described_by relations.DatasetsBenchmarksCode
A Trust-Network-Based Federated Learning Framework for Multi-Center Aging Clock PredictionarXiv:2609.10108cs.LGChunxu Zhang, Bo Li, Wenliang Wang +211 Sept 2026
Active Adaptation, Not Static Defense: Temporal Dynamics of Preventative Steering in Adversarial Fine-TuningarXiv:2609.10142cs.CLJing Guan, Yachao Yang, Zhaoliang Liu +211 Sept 2026
Hierarchical and Permutation-Invariant Feature Transformation Learning via Policy-Guided Embedding SearcharXiv:2609.10225cs.LGRui Liu, Tao Zhe, Yanyong Huang +211 Sept 2026
One Loop, Two Gains: Can Active Learning win the Lottery for Free?arXiv:2609.10311cs.LGBenedikt Tscheschner, Eduardo Veas, Marc Masana11 Sept 2026
OmniMed-FL: A Robust Multimodal Federated Learning Framework for Clinical DiagnosisarXiv:2609.10364cs.LGAyush Debnath, Ruelia Saha, Sudip Misra11 Sept 2026
Forgetting Only What Matters: Layer-Selective Unlearning toward Robust LLMsarXiv:2609.10439cs.LGRavi Ranjan, Olivera Kotevska, Agoritsa Polyzou11 Sept 2026
Semigroup-JEPA: Latent Dynamics Consistency for Zero-Shot Physics GeneralizationarXiv:2609.10464cs.LGAndy Zeyi Liu, Haoran Sun, Lucas Baker +211 Sept 2026
IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model IdentifierarXiv:2609.10494cs.CLBlake Stenstrom, Charangan Vasantharajan, Brian Sathianathan11 Sept 2026
MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory PredictionarXiv:2604.10169cs.AIWenchang Duan, Zhenguo Gao, Jinguo Xian +111 Sept 2026
Non-Stationarity Breaks Permutation Surrogates in Multi-Agent Reinforcement Learning: Diagnosis and RemediesarXiv:2604.23716cs.AINikolaos Al. Papadopoulos, Konstantinos E. Psannis11 Sept 2026
Cultural Binding Heads in Language ModelsarXiv:2605.28543cs.AIAvrile Floro, Luca Benedetto11 Sept 2026
KernelGenBench: Can LLMs and Agents Write Efficient Kernels Across Operator Sources and Hardware Platforms?arXiv:2607.27231cs.AIPeiyu Zang, Jian Tao, Jialing Zhang +211 Sept 2026
Influence-Oriented Personalized Federated LearningarXiv:2410.03315cs.LGYue Tan, Guodong Long, Jing Jiang +111 Sept 2026
Efficient Diversity-based Experience Replay for Deep Reinforcement LearningarXiv:2410.20487cs.LGKaiyan Zhao, Yiming Wang, Yuyang Chen +211 Sept 2026
Query Brand Entity Linking in E-Commerce SearcharXiv:2502.01555cs.IRDong Liu, Sreyashi Nag11 Sept 2026
Safe Learning Under Irreversible Dynamics via Asking for HelparXiv:2502.14043cs.LGBenjamin Plaut, Juan Li\'evano-Karim, Hanlin Zhu +111 Sept 2026
Predicting Estimated Times of Restoration for Electrical Outages Using Longitudinal Tabular TransformersarXiv:2505.00225cs.LGBogireddy Sai Prasanna Teja, Valliappan Muthukaruppan, Carls Benjamin11 Sept 2026
SloMoDeblur: A Large-Scale Smartphone Image Deblurring DatasetarXiv:2506.19445cs.CVSyed Mumtahin Mahmud, Mahdi Mohd Hossain Noki, Prothito Shovon Majumder +211 Sept 2026
Instance-Aware Algorithm Selection for Maximum Clique via a Dual-Channel Graph Neural ArchitecturearXiv:2508.08005cs.LGXiang Li, Shanshan Wang, Chenglong Xiao11 Sept 2026
Meta-RL with Bayesian Linear Task ModelsarXiv:2512.20974cs.LGJingyang You, Hanna Kurniawati11 Sept 2026
From Rubrics to Reliable Scores: Evidence-Grounded Text Evaluation with LLM JudgesarXiv:2601.08654cs.CLYihan Hong, Huaiyuan Yao, Bolin Shen +211 Sept 2026
Toward Learning POMDPs Beyond Full-Rank Actions and State ObservabilityarXiv:2601.18930cs.LGSeiji Shaw, Travis Manderson, Chad Kessens +111 Sept 2026
Tactile Memory with Soft Robot: Robust Object Insertion via Masked Encoding and Soft WristarXiv:2601.19275cs.ROTatsuya Kamijo, Mai Nishimura, Nodoka Shibasaki +211 Sept 2026
Revisiting the Shape Convention of Transformer Language ModelsarXiv:2602.06471cs.CLFeng-Ting Liao, Guan-Ting Yi, Tzu-Quan Lin +211 Sept 2026
Bringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement LearningarXiv:2604.10701cs.LGZikang Shan, Han Zhong, Liwei Wang +111 Sept 2026

Author lists and categories are copied from the paper's own metadata (arXiv, publisher). Linked models, datasets, benchmarks and code come from stated relations only; a dash means no source stated one.