Contributions

Momentum

4 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

Jul 6Week of Sep 21

Latest papers 32

All topics
CardsList
  1. Contributions to the hierarchy of probabilistic languages

    Sep 20, 2026Lothar Sebastian Krapp, Remo NitschkeContext-Free GrammarsProbabilistic Model

  2. From Citations to Contributions: LLM-Assisted Credit Scoring of Research Articles

    Sep 7, 2026Sana Ebrahimi, Suraj Shetiya, Abolfazl AsudehCitationsContributions

  3. Convex-Hull-Neighborhood Smooth Dual Generalization: Controlling Local Correction Propagation in Offline RL

    Aug 4, 2026Yi Yang, Zhennan Chen, Mingfeng Lv +3Offline Reinforcement LearningOut-Of-Distribution

  4. Credit the Right Box: Marginal Contribution Assignment for Structured Visual Perception

    Aug 2, 2026Xinheng Han, Jianfei Wang, Yu Chen +4Process-Level SupervisionContextual Grounding

  5. Beyond Routing Weights: Faithful Response-Level Interpretation of Mixture-of-Experts Reward Models via Contribution Contrast

    Jul 31, 2026Yifan Wang, Jinyi Mu, Mayank Jobanputra +4Progress Reward ModelingExpert Demonstrations

  6. ResKV: Reconstructing Omitted Attention Contributions for Fixed-Budget KV Cache Compression

    Jul 31, 2026Yuhang Zhan, Lisi Chen, Shuo ShangKey-Value Cache CompressionCache

  7. Regularizing modality contribution drift in multimodal continual learning

    Jul 29, 2026Zhen Zhang, Jielei Chu, Bin Liu +1Multimodal LearningContinual Learning

  8. When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration

    Jul 16, 2026Célina Treuillier, Denis LalanneArtificial Intelligence LiteracyAuthorship

  9. Towards Value-Constrained Credit Assignment in Fully Delegated AI Cooperatives

    Jun 26, 2026Young Yoon, Jimin Kim, Soyeon ParkCredit AssignmentContributions

  10. LineageMark: Multi-user White-box Watermarking for Contribution Tracing in Model Derivation Chains

    Jun 15, 2026Bingxue Zhang, Xiaofeng Xu, Feida ZhuLarge Language Model WatermarksWatermarks

  11. Co-Evolved Spiking Neural Network Ensembles via Marginal Contribution Fitness

    Jun 12, 2026Catherine Rodriquez, James GhawalySpiking Neural NetworksNeuroevolution

  12. Trajectory-Aware Node Contributions and the Limits of Static Controllability

    Jun 2, 2026Valentina Kuskova, Dmitry Zaytsev, Michael CoppedgeNonlinear DynamicsControllability

  13. Contribution Weights: A Geometrical Analysis of Self-Attention Transformers

    May 29, 2026Harry Jake Cunningham, Nicola Muca CironeTransformer AttentionLinear Attention

  14. A Systematic Evaluation of Molecular Mixture Behavior Prediction

    May 28, 2026Roel J. Leenhouts, Nathan K. Morgan, William Green +2Molecular Property PredictionMixtures

  15. "I Didn't Make the Micro Decisions": Measuring, Inducing, and Exposing Goal-Level AI Contributions in Collaboration

    May 20, 2026Eunsu Kim, Jessica R. Mindel, Kyungjin Kim +1Human-Ai CollaborationCollaboration

  16. The Scientific Contribution Graph: Automated Literature-based Technological Roadmapping at Scale

    May 14, 2026Peter A. JansenScientific DiscoveryRoadmap

  17. Semantic Cooperative Games for Contribution Attribution in LLM-Based Multi-Agent Systems

    May 14, 2026Pengyi Jiang, Xiaoguang Zhu, Quanyan ZhuContributionsSlices

  18. Attribution-Based Neuron Utility for Plasticity Restoration in Deep Networks

    May 7, 2026Patrick Elisii, Lucas Beauchemin, Dawer JamshedReplay-Based Continual LearningPlasticity

  19. GETA-3DGS: Automatic Joint Structured Pruning and Quantization for 3D Gaussian Splatting

    May 3, 2026Baobing Zhang, Wanxin Sui3D GaussianNovel View Synthesis

  20. Data-Free Contribution Estimation in Federated Learning using Gradient von Neumann Entropy

    Apr 24, 2026Asim Ukaye, Mubarak Abdu-Aguye, Nurbek Tastan +1Federated LearningContributions

  21. EnComp: Lightweight Encoder-Only Context Compression for Retrieval-Augmented Question Answering

    Mar 10, 2026Thao Do, Dinh Phu Tran, An Vo +2Question-Answering BenchmarksData Compression Methods

  22. Not Just How Much, But Where: Decomposing Epistemic Uncertainty into Per-Class Contributions

    Feb 24, 2026Mame Diarra Toure, David A. StephensUncertainty-Aware ClassificationBayesian Neural Networks

  23. How Can Incentives and Cut Layer Selection Influence Data Contribution in Split Federated Learning?

    Dec 10, 2024Joohyung Lee, Jungchan Cho, Wonjun Lee +2Stackelberg EquilibriumIncentives

  24. Measuring Human Contribution in AI-Assisted Content Generation

    Aug 27, 2024Yueqi Xie, Tao Qi, Jingwei Yi +7Generative Artificial IntelligenceHuman-Ai Collaboration

  25. Neural Dynamic Data Valuation via Stochastic State-Adjoint Trajectories

    Apr 30, 2024Zhangyong Liang, Ji Zhang, Huanhuan GaoShapley ValueCoalition Formation

  26. Class-wise Contribution Estimation via Logit Maximization for Federated Learning

    Date pendingAsim Ukaye, Nurbek Tastan, Mubarak Abdu-Aguye +1Federated LearningContributions