Early Layers

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3 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

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Period ending 2026-09-21

3 new papers

A weekly snapshot of new work published in Early Layers.

36 papers

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  1. Prediction Is Not Detection: Evaluating Pre-Recognition Claims in Longitudinal Clinical AI

    Sep 22, 2026Jing Yang, Long R. Jiao, Xiujun Cai +1Clinical PredictionEarly Warning

  2. Detecting Deceptive Recruitment: A Signal-theoretic Machine Learning Framework for Early Identification of Labour Exploitation

    Sep 17, 2026Sajid Siraj, Mahnaz Hosseinzadeh, Amin Vafadarnikjoo +1DeceptionDiscriminative

  3. Temporally Consistent Graph Extraction and Matching for Longitudinal Angiographic Images

    Sep 15, 2026Linus Kreitner, Laurin Lux, Carmen Baumann +2Coronary AngiographyFeature Matching

  4. Intelligence Under Time Constraints: Rethinking Test-Time Compute

    Sep 14, 2026Xiaotian ZhangComputational CostTest Time

  5. EchoChange: A Diffusion Language Model with Dual Pass Remasking for Factual Remote Sensing Disaster Change Captioning

    Aug 3, 2026Dongwei Sun, Bowen Yao, Yujie Zhang +3Remote Sensing Image Change CaptioningRemote Sensing

  6. Reliability-Contagion Feasibility in LLM Multi-Agent Networks

    Jul 24, 2026Ruiwu Niu, Xincheng Shu, Ying ZhaoComplex NetworksAgent-Based Model

  7. Early Adoption of Agentic Coding Tools by GitHub Projects

    Jul 15, 2026Maliha Noushin Raida, Daqing HouRepositoryCoding Agents

  8. Doomed from the Start: Early Abort of LLM Agent Episodes via a Recall-Controlled Probe Cascade

    Jul 7, 2026Kai Ruan, Zihe Huang, Ziqi Zhou +4Inference EngineEarly Layers

  9. Predicting Early Stages Of Alzheimer's Disease And Identifying Key Biomarkers Using Deep Artificial Neural Network And Ensemble Of Machine Learning Methodologies

    Jul 2, 2026Debopriya GhoshAlzheimerBiomarker

  10. How Early Is Early Enough? Design-Dependent Observation-Window Sufficiency in Subscription Churn Prediction

    Jul 1, 2026Xiao Han, Yao Xiao, Chenyu Wu +1Churn PredictionEarly Layers

  11. Knowing in Advance When an Evolutionary Outer Loop Will Not Help: A Pre-Registered Cheap-Baseline Screening Rule

    Jun 28, 2026Ramchand KumaresanScreeningEarly Stopping

  12. Prism Transformer: Progressive Head Schedules for Hierarchical Attention Processing

    Jun 25, 2026Shubham AggarwalTransformer ArchitecturesPrism

  13. Phoneme-Level Mispronunciation Screening in Polish-Speaking Children with an Explainable Assistant

    Jun 23, 2026Milosz Dudek, Daria Hemmerling, Kamil Kwarciak +9Mispronunciation DetectionScreening

  14. Predicting Poets' Origins from Verse: A Computational Analysis of Regional Linguistic Fingerprints in the Complete Tang Poems

    Jun 23, 2026Chi-Sheng Chen, Hung-Yun LiuPoetryLinguistics

  15. Small Experiments, Cheaper Decisions: A Case Study in Staged Promotion for Micro-Pretraining

    Jun 9, 2026Felipe Chavarro PolaniaEarly LayersModel Pretraining

  16. Do Video Foundation Models Understand Intuitive Physics? A Layerwise Probing Analysis

    Jun 8, 2026Samuele Punzo, Niccolò Caselli, Ippokratis Pantelidis +3Video PretrainingFrozen Representations

  17. "So There's a Catch-22 Here": How Early Adopters Who Build Multi-Agent LLM Systems Conceptualize Transparency

    Jun 6, 2026Suchismita Naik, Samir Passi, Mihaela Vorvoreanu +2TransparencyMulti-Agent Large Language Model Systems

  18. DiG-Plan: Mitigating Early Commitment for Tool-Graph Planning via Diffusion Guidance

    Jun 4, 2026Yansi Li, Zhuosheng ZhangClassical PlanningPlanning Methods

  19. When Evidence is Sparse: Weakly Supervised Early Failure Alerting in Dialogs and LLM-Agent Trajectories

    Jun 3, 2026Avinash Baidya, Xinran Liang, Ruocheng Guo +2Early Failure PredictionEarly Warning

  20. Computational conceptual history of scientific concepts: From early digital methods to LLMs

    Jun 2, 2026Michael Zichert, Arno SimonsHistoryScientific Discovery

  21. How Early Adopters Used Generative AI Worldwide: Variation by Country Income and Language

    May 29, 2026Madeleine I. G. Daepp, Isaac SlaughterArtificial Intelligence LiteracyGenerative Artificial Intelligence

  22. When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs

    May 25, 2026Ngoc Luyen Le, Marie-Hélène Abel, Bertrand LaforgeEarly WarningLeakage

  23. Understanding and Mitigating Premature Confidence for Better LLM Reasoning

    May 23, 2026Jingchu Gai, Guanning Zeng, Christina Baek +4Large Language Model ReasoningOverconfidence

  24. HawkesLLM: Semantic Uncertainty Propagation in Agentic Text Simulation

    May 21, 2026Zewei Deng, Tinghan Ye, Liyan XieLarge Language Models(LlmsEarly Layers

  25. From Division to Decision: Leveraging Temporal Cell-Stage Segmentation for Embryo Transferability Prediction

    May 18, 2026Yasmine Hachani, Patrick Bouthemy, Elisa Fromont +3ReproductionEarly Layers

  26. Inline Critic Steers Image Editing

    May 12, 2026Weitai Kang, Xiaohang Zhan, Yizhou Wang +4Image EditingLarge-Scale Image Generation

  27. Early Data Exposure Improves Robustness to Subsequent Fine-Tuning

    May 12, 2026Lawrence Feng, Gaurav R. Ghosal, Jacob Mitchell Springer +2Continual Fine-TuningTrainability

  28. ORACLE: Anticipating Scams from Partial Trajectories in Streaming App Usage

    May 9, 2026Wenbo Gao, Songbai Tan, Zhongan Wang +6Fraud DetectionEarly Layers

  29. When AI Meets Science: Research Diversity, Interdisciplinarity, Visibility, and Retractions across Disciplines in a Global Surge

    May 7, 2026Andrés F. Castro Torres, Joan Giner-Miguelez, Mercè CrosasInterdisciplinary Knowledge DiscoveryScientific Discovery

  30. Enhanced 3D Brain Tumor Segmentation Using Assorted Precision Training

    May 5, 2026Adwaitt Pandya, Ozioma C. Oguine, Harita Bhargava +1Brain Tumor SegmentationResnet-18

  31. Transformers with Selective Access to Early Representations

    May 5, 2026Skye Gunasekaran, Téa Wright, Rui-Jie Zhu +1Transformer ArchitecturesEarly Layers

  32. AIs and Humans with Agency

    May 4, 2026David MumfordHuman OversightArtificial Intelligence Agents

  33. Staged Factorial Screening for Budget-Constrained Micro-Pretraining

    Apr 27, 2026Felipe Chavarro PolaniaToken BudgetsExploratory Factor Analysis

  34. Zero-shot World Models Are Developmentally Efficient Learners

    Apr 11, 2026Khai Loong Aw, Klemen Kotar, Wanhee Lee +6IntelligenceCognitive Science

  35. Performance-Efficiency Tradeoffs in Transformers: An Approximation Theory Perspective

    Oct 4, 2025Ruoxi Yu, Haotian Jiang, Jingpu Cheng +3Transformer ArchitecturesActivation Functions

  36. Beyond Prompting: Efficient and Robust Contextual Biasing for Speech LLMs via Logit-Space Integration (LOGIC)

    Date pendingPeidong Wang, Jian Xue, Jinyu LiSpeech Large Language ModelsLogit Lens