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13 papers in the last four weeks, up 8% on the four weeks before. 0.2% of all new papers.

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  1. ibUMAP: Coherent and Scalable Field Evaluation for UMAP Optimization

    Oct 1, 2026Bin Chen, Yumeng Xue, Patrick Paetzold +2Repulsive DistributionApproximate Nearest-Neighbor Search

    University of Konstanz · Renmin University of China

  2. Specificity-Aware Diffusion Steering via Variance-Reduced Sequential Monte Carlo

    Sep 30, 2026Luran Wang, Linrui Ma, Hannes Stärk +1Diffusion SamplingDiffusion Models

    CSAIL, Massachusetts Institute of Technology

  3. Say, Echo, Do: Strategic Narratives and Revealed Positioning in Financial Markets

    Sep 29, 2026Ali Atiah AlzahraniFinancial Sentiment AnalysisInstitutions

    Riyadh, Saudi Arabia

  4. Let the Neurons Die: Exploiting ReLU-Induced Model Degradation

    Sep 28, 2026Kexin Li, Wenjun Qiu, Joshua Abraham +2Rectified Linear Unit NetworksNeurons

    University of Toronto, Toronto, Ontario, Canada

  5. Improving Generative Model Self-Training with Geometrically Modified Outputs

    Sep 28, 2026Patrick Batsell, Thomas Walker, Richard BaraniukGenerative ModelsSelf-Supervised Learning

    Department of Electrical and Computer Engineering Rice University Houston, TX 77005, USA

  6. Mixed-Prior Decision Risk for Open-Set Recognition

    Sep 28, 2026L. A. Erlygin, P. D. Proskura, A. A. ZaytsevOpen-Set RecognitionUncertainty Score

    Skolkovo Institute of Science and Technology (Skoltech), Moscow, Russia · Risk Management, Sber, Moscow, Russia · The Institute for Information Transmission Problems (IITP RAS), Moscow, Russia

  7. Pre-registered tests of solid-state-physics-inspired LLM compression: a cluster-level negative result at small-language-model scale

    Sep 28, 2026Jun-qiang LuLarge Language Model CompressionLarge Language Model Pretraining

    Department of Physics, University of Puerto Rico, Mayagüez, PR 00680, USA

  8. Paging the Experts: A Reproducible Characterization of Flash-Backed MoE Inference on iPhone

    Sep 24, 2026Musa ShamsMixture-Of-Expert InferenceExperts

    Independent Researcher

  9. CRISP: Scalable Importance-Stratified Coresets for Imbalanced Tabular Learning

    Sep 22, 2026Hardhik Mohanty, Indrayana Rustandi, Mohamadreza SheibaniImbalanced ClassificationGeometry-Aware Uncertainty Coresets

    University of Southern California Los Angeles, California, USA · Coinbase San Francisco, California, USA

  10. How to Estimate Whether You Have Found Several Needles in a Haystack: Measuring Calibration in Multi-Label Text Classification

    Sep 22, 2026Sophie Henning, Georg Hofmann, Alexander Schulte +2Multi-Label ClassificationConfidence Estimation

    TU Munich · Munich Center for Machine Learning (MCML) · LMU Munich +3

  11. Intrinsic Sequence-Likelihood Confidence in Retrieval-Dominated Extractive QA: Two Pre-Specified Negatives, and What They Do and Do Not Attribute

    Sep 17, 2026Gunwoo Lee, Changmin Sung, Sang-Hwan Gwak +3Large Language Model ReliabilityNegative Results

    Large-scale AI Research Center, Korea Institute of Science and Technology Information (KISTI), 245 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea. · Department of Applied AI, University of Science and Technology (UST), 217 Gajeong-ro, Yuseong-gu, Daejeon, 34113, Republic of Korea.

  12. Absence is Presence: Understanding Visual Scene Negative Events Under Safety Cognitive Constraint

    Sep 17, 2026Zhiyun Jiang, Hanyong Wang, Binbin Liang +3Image Difference CaptioningNegative Results

    Sichuan University, Chengdu, China · Beijing Institute of Technology, Beijing, China

  13. Learning from Reliable Negatives: Confidence-Anchored Test-Time Adaptation for GUI Grounding

    Sep 14, 2026Yizhou Liu, Fei Tang, Yuchen Yan +8Graphical User InterfaceVision-Language Model Grounding

    Zhejiang University · Ant Group

  14. Portable Semantics, Private Dialects: Reuse and Negative Transfer in Latent Communication Between Language-Model Cells

    Sep 12, 2026Narcis MarincatLanguage PairsLanguage Modeling

    Independent researcher.

  15. Are You Learning Biological Signal or Shortcuts? Auditing and Mitigating Bias in Protein-Protein Interaction Datasets

    Sep 9, 2026Judith Bernett, Anton Spannagl, Joel Ås +2Negative ResultsShortcut Learning

    Department Artificial Intelligence in Biomedical Engineering Friedrich-Alexander-Universität Erlangen-Nürnberg · TUM School of Life Sciences Technical University of Munich · Department of Experimental Oncology IEO European Institute of Oncology IRCCS

  16. Three Types of Negation of Triple and its Elements and an Extension of Triple

    Sep 8, 2026Zhenghua PanNegationRdf

    School of Mathematics and Data Science, Jiangnan University, Wuxi 214122, China

  17. ViTAMINS: An Empirical Study of Training Self-Supervised Vision Transformers with Synthetic Hard Negatives

    Sep 1, 2026Nikos Giakoumoglou, Andreas Floros, Kleanthis-Marios Papadopoulos +1Self-Supervised Vision TransformersContrastive Learning

    Imperial College London

  18. FTU-Seek: Foundation Model-Guided Hard-Negative Learning for Sparse Functional Tissue Unit Segmentation

    Sep 1, 2026Zonghao Liu, Lei Su, Jiguang Yu +4Pathology Foundation ModelsTissue

    Department of Hepatopancreatobiliary Surgery, Clinical Oncology School, Fujian Medical University, Fuzhou, 350014, China. · Innovation Center for Cancer Research, Clinical Oncology School, Fujian Medical University, Fuzhou, 350014, China. · Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. +5

  19. You Shouldn't Have Asked: A Pragmatics-Inspired Taxonomy for Evaluating LLM Refusals

    Aug 31, 2026Ruoxuan Li, Pinqiao Wang, Sheng Li +1RefusalsImplications

    Stony Brook University · University of Virginia

  20. PyKEEN-NSX: A Modular Framework for Static, Dynamic and Schema-Aware Negative Sampling in PyKEEN

    Aug 31, 2026Ivan Diliso, Nicola Fanizzi, Claudia d'AmatoKnowledge Graph EmbeddingsNegative Results

    1Dipartimento di Informatica, University of Bari Aldo Moro, Bari, Italy

  21. Characterizing Necessary Losers to Explain Tournaments Solutions

    Aug 24, 2026Contet Clément, Umberto Grandi, Jérôme MenginCompetitionExplainable Artificial Intelligence

    Institut de Recherche en Informatique de Toulouse (IRIT) · Université de Toulouse · Université Toulouse Capitole

  22. Evaluating Large Language Model Performance on International Maritime Dangerous Goods Code Compliance

    Aug 21, 2026Alexander Thomas, Hubert P. H. Shum, Darren Nellis +4Large Language Model EvaluationMaritime Navigation

    NCB Hazcheck Limited, UK · Durham University, UK

  23. From Prompting to Behavioral Alignment: Personalized LLM Judges for Recommendation Evaluation

    Aug 11, 2026Alireza S. Ziabari, Kat Ellis, Colleen Chan +1Sequential RecommendationLarge Language Model Evaluation

    Netflix Los Angeles, USA · Netflix Los Gatos, USA

  24. Batch Size or Negatives? A Selection Rule for Memory-Constrained Recommender Training

    Aug 11, 2026Artyom Sabitov, Daniil Volkov, Alexey ZaytsevReal-World Content Recommendation ProblemBounded-Memory

    Applied AI Institute, Moscow, Russia Risk department

  25. SoftMCC: An MCC-Brier Calibration Bridge for Threshold-Free Model Selection under Class Imbalance

    Aug 10, 2026Özkan CanayModel SelectionImbalanced Classification

    Department of Information Systems and Technologies Faculty of Computer and Information Sciences Sakarya University, Esentepe Campus 54050 Serdivan, Sakarya, Türkiye

  26. BAP-MOS: Bandit-Based Adaptive Prompting for Boundary-Sensitive Multi-Organ Segmentation

    Aug 8, 2026Satvik Praveen, Shengji Jin, Ahmed Lamidi +2Semi-Supervised Medical Image SegmentationProstate Magnetic Resonance Imaging

    Computer Science & Engineering, University of South Florida, Tampa, USA · Department of Physics and Astronomy, Stony Brook University, Stony Brook, USA

  27. Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval

    Aug 6, 2026Zelong Sun, Jun Wang, Kaicheng Yang +3Multimodal RetrievalChain-of-Thought Reasoning

    Glint Lab

  28. Deep Generalised Mixed Models: a Novel Neural Network Structure for Analysing Hierarchical Data

    Aug 6, 2026Nina van Gerwen, Dimitris Rizopoulos, Manon Hillegers +2Generalized Linear ModelHierarchical

    Department of Biostatistics, Erasmus University Medical Center, the Netherlands · Department of Epidemiology, Erasmus University Medical Center, the Netherlands · Department of Child Psychiatry, Erasmus University Medical Center, the Netherlands +1

  29. Calibrating Artificial Guilt: Neurally Grounded Reward Shaping for Prosocial Multi-Agent Reinforcement Learning

    Aug 5, 2026Aaditya Mehta, Arya ShahPotential-Based Reward ShapingMulti-Agent Reinforcement Learning

    Mahatma Gandhi International School, Ahmedabad, India · Indian Institute of Technology, Gandhinagar, India

  30. When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models

    Aug 5, 2026Byoungjae Min, Kennedy Edemacu, Sae-Hong Cho +3LLM Reasoning StrategiesNegative Results

    Department of Computer Science, Sangmyung University, Seoul, Republic of Korea · College of Staten Island, The City University of New York, New York, NY, USA · School of Computer Engineering, Hansung University, Seoul, Republic of Korea +2

  31. UBLLIE: Unified Backlight and Low-Light Image Enhancement

    Aug 5, 2026Yasmin Yasin, Muhammad Usman, Ibrahim Radwan +1Low-Light Image EnhancementEnhancement

    King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia · Ontario Tech University, Oshawa, Canada · University of Western Australia, Perth, Australia +1

  32. Does the Competitive Component of Adversarial Self-Play Improve Legal Reasoning? A Controlled Negative Result

    Aug 3, 2026Miseog Shawn KimSelf-PlayLegal Reasoning Tasks

    Preprint, 2026-08-02

  33. Auditing Discovery Claims: A Two-Sided Criterion for Agentic Science, with the Negative Side Decidable

    Aug 2, 2026Wenhui Chen, Jianlin Chen, Ziyao Lin +1Independent-Pool Single-Draw OracleModel Auditing

    University of Macau · 2South China University of Technology

  34. Distill Where You Fail: Recovering Learning Signals of Negative RL-Groups from Adaptive Teacher Guidance

    Aug 1, 2026Zhuowen Han, Jinwei Xiao, Zhengxi Lu +9TeacherUni-Opd

    TJUNLP Lab, School of Computer Science and Technology, Tianjin University · Meituan Longcat Team

  35. Don't Contrast the Impossible: Region-Constrained Batching for Contrastive User Modeling on a Local Community Platform

    Jul 31, 2026Seungho Han, Byeongchang Kim, Jin YuUser ModelingContrastive Learning

    Danggeun Market Inc. (Karrot) · Seoul, Korea

  36. Negative controls reveal volume-driven confounding in radiomics and imaging foundation model features

    Jul 30, 2026Katy L. Scott, Sejin Kim, Joshua Siraj +6RadiomicsBiomarker

    Princess Margaret Cancer Centre University Health Network Toronto, ON · Radiation Medicine Program Princess Margaret Cancer Centre Toronto, ON

  37. Back to All-Entity Ranking: Sampler-Dependent Evaluation in Continuous-Time Dynamic Graphs

    Jul 30, 2026Minwoo Yu, Young-guk HaRankingMultiple Centrality Measures

    Smart Computing Laboratory, Department of Computer Science and Engineering, Konkuk University, Seoul 05029, Republic of Korea

  38. What EEG Foundation Models Encode: Dataset Identity and a Negative-Control Suite for Clinical Benchmarks

    Jul 27, 2026Marzieh ZareElectroencephalography Foundation ModelsElectrocardiogram Foundation Models

    Universit´e Laval, School of Psychology, Quebec City, QC, Canada · NeuroGenis Inc., Toronto, ON, Canada

  39. From a Word-Level Dictionary to Sentence-Level Semantics: Multilingual Grievance Labelling with Contextual Models

    Jul 23, 2026Lin Tian, Marian-Andrei RizoiuLinguisticsMultilingual

    Behavioral Data Science University of Technology Sydney Sydney, Australia

  40. Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels

    Jul 20, 2026Wenxiao Fan, Kan LiNoisy LabelsDeep Learning

    School of Computer Science, Beijing Institute of Technology

  41. Capacity and Redundancy Trade-offs in Multi-Task Learning

    Jul 17, 2026Asif KhanMulti--Task LearningRedundancy

    1Harvard Medical School, Boston, USA

  42. Contextualized Early Detection of Online Firestorms: A Sequential LLM-Based Approach

    Jul 16, 2026Besim Shala, Peter Mandl, Andreas Humpe +1Content ModerationThreat Detection

    University of Applied Sciences Munich, Germany

  43. Advanced Image Generation: Negative Prompt Optimization and Latent Classifier Guidance

    Jul 16, 2026Vaddi Charan Sai Nandan Reddy, Harini B, Chandana M SMulti-Reference Image GenerationNegative Results

    Department of Computer Science, PES University, Bangalore, India

  44. Adaptive Ad Load Design for Sponsored Search Markets: Evidence, Theory, and Deployment

    Jul 15, 2026Mohammad Rashid, Hema YoganarasimhanAdsClick-Through Rate Prediction

    University of Washington

  45. Accepted Prefixes Are Not All You Need: A Negative Result on PEFT-Based Block-Diffusion Drafting

    Jul 14, 2026Abdurrahman Javat, Allan KazakovSpeculative DecodingBlock-Diffusion Drafter

    Bahçeşehir University, Department of Artificial Intelligence

  46. Semantic Hardness Is Not Visual Hardness: Sign-Aware Hard Negative Mining for Sign Language Retrieval

    Jul 10, 2026Junmyeong Lee, Chan Hur, ChangSu Choi +5Sign Language TranslationSign

    School of Computing1 · ETRI Medical Informatics Laboratory4 · Graduate School of Culture Technology2 +1

  47. NegROI: Click-Centric Uncertainty-Guided Refinement with Scene-Conditioned Negative Prompts for Robust Interactive 3D Segmentation

    Jul 7, 2026Shuheng Zhang, Feng WuInteractive 3D SegmentationVoxel

    School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China.

  48. Characterizing the Temporal, Emotional, and Social Patterns of Adolescent Substance Use Discussions on Reddit

    Jul 6, 2026Leran Hong, Lei Jin, Jianfeng ZhuPeersNegative Results

    Shenzhen Chinese International College, Shenzhen, China · Department of Information Systems and Business Analytics, Kent State University, Kent, OH USA · Departments of Computer1, Kent State University, Kent, OH USA

  49. Angry but Accurate: Detecting and Profiling the Counter-Misinformation Ecosystem on Twitter

    Jul 3, 2026Eun Cheol Choi, Emilio FerraraMisinformationIndonesian E-Commerce Reviews

  50. LeVLJEPA: End-to-End Vision-Language Pretraining Without Negatives

    Jul 1, 2026Lukas Kuhn, Giuseppe Serra, Randall Balestriero +1Recent Vision-Language ModelsFrozen Vision-Language Models

    German Cancer Research Center · German Cancer Consortium · Brown University +1

  51. Real-Time Hard Negative Sampling via LLM-based Clustering for Large-Scale Two-Tower Retrieval

    Jul 1, 2026Ivan Ji, Liuyi Hu, Harrison +6Negative ResultsRetrievers

    Zihao · 1Meta · Xiangjun

  52. Personalized Object Identification and Localization via In-Context Inference with Vision-Language Models

    Jul 1, 2026Kensuke Nakamura, Byung-Woo HongLocalizationVision-Language Model Grounding

    Artificial Intelligence Department, Chung-Ang University, Seoul, 06974, Korea

  53. Internal-State Probes Read the Situation, Not the Action: Three Negative Results for Pre-Action Misalignment Monitoring

    Jun 29, 2026Max Fomin, Elad David, Amit LeViIntrospection AdaptersMisalignment Persona

    Zenity

  54. Concept Removal Guidance: Evidence-Calibrated Negative Guidance for Safe Diffusion Sampling

    Jun 29, 2026Yoonseok Choi, Chaeyoung Oh, Hyunjun Choi +2Text-To-Image Diffusion ModelsAdversarial Prompts

    Kim Jaechul Graduate School of AI, KAIST, Daejeon, Republic of Korea · Center for Humanoid Research, KIST, Seoul, Republic of Korea

  55. RSICCLLM: A Multimodal Large Language Model for Remote Sensing Image Change Captioning

    Jun 26, 2026Yelin Wang, Zijia Song, Shuo Ye +6Remote SensingMultimodal Large Language Models

    State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China · Harbin Institute of Technology, Shenzhen, China · Great Bay University, Dongguan, China +1

  56. COCOLogic-V2: Identifying Logical Inconsistencies via Truly Hard-Negatives

    Jun 26, 2026David Steinmann, Antonia Wüst, Kristian Kersting +1InductionConcept Bottleneck Models

    Computer Science Department, TU Darmstadt · Hessian Center for AI (hessian.AI) · German Research Center for AI (DFKI) +2

  57. DiARC: Distinguishing Positive and Negative Samples Helps Improving ARC-like Reasoning Ability of Large Language Models

    Jun 25, 2026Yuxuan Yang, Feiyang Li, Yile WangReasoning SkillsNegative Results

    College of Computer Science and Software Engineering, Shenzhen University

  58. When Certainty Is an Artifact: Keyword Lexicon Blindness and the (Mis)Measurement of Rhetorical Stance

    Jun 24, 2026Bo ChenRhetoricAttitude

    Institute of Computing Technology, Chinese Academy of Sciences

  59. Dual Distribution Estimation for Zero-shot Noisy Test-Time Adaptation with VLMs

    Jun 24, 2026Wenjie Zhu, Yabin Zhang, Liang Xu +3Out-Of-Distribution DetectionVision-Language Model Adaptation

    The Hong Kong Polytechnic University · Harbin Institute of Technology (Shenzhen) · Shanghai Jiao Tong University +1

  60. ReNIO: Reweighting Negative Trajectory Importance for LLM On-Policy Distillation

    Jun 22, 2026Chen Lin, Kedi Chen, Wei ZhangMathematical Reasoning BenchmarksNegative Results

    East China Normal University · Shanghai Innovation Institute