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

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  1. BanglaDial-Abuse: A Corpus-Grounded Dataset for Regional Dialect Identification in Abusive Bangla Text

    Oct 1, 2026Hasin Almas SifatBanglaDialects

    Department of Computer Science American International University-Bangladesh Dhaka, Bangladesh

  2. BadAction: Backdoor Attacks on Interactive Video Generation via Action-Guided Triggers

    Sep 30, 2026Zhihang Wu, Zhongqi Wang, Jie Zhang +3Interactive Video GenerationBad

    Key Laboratory of AI Safety of CAS, Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China · University of Chinese Academy of Sciences, Beijing, China · School of Advanced Interdisciplinary Sciences, University of Chinese of Sciences, Beijing, China

  3. The Unequal Influence of Bad Advice: Using Training Data Attribution to Modulate Emergent Misalignment

    Sep 29, 2026Gonçalo Paulo, Louis Jaburi, Nora Belrose +2Emergent MisalignmentLarge Language Model Alignment

    EleutherAI

  4. Weeding Out Bad Seeds: Initial-Noise-Robust Unlearning for Text-to-Image Diffusion Models

    Sep 29, 2026Arian Komaei Koma, Seyed Amir Kasaei, Aida Aryafar +6Text-To-Image Diffusion ModelsDiffusion Models

    Sharif University of Technology · Hong Kong University of Science and Technology

  5. XYEval: Agents say yes to bad advice

    Sep 20, 2026Zhengxuan Wu, Yuxuan Li, Oyvind Tafjord +1Artificial Intelligence AgentsAdvice

    Google DeepMind

  6. Bad Genius: Counterfactual-Guided Harness Evolution Beyond Task-Specific Shortcuts

    Sep 16, 2026Guojun Zhu, Xunheng Huang, Peng Yin +3Agentic EvaluationsAdversarial Evaluation

    School of Mathematical Sciences, University of Chinese Academy of Sciences, China · Department of Statistics & Data Science, National University of Singapore, Singapore · Institute of Automation, Chinese Academy of Sciences, China

  7. Analysis of Federated Aggregation under Model Poisoning and Backdoor Attacks: A Reconstructed Cross-Dataset and Cross-Architecture Benchmark

    Aug 11, 2026Soumya Mazumdar, Vineet Kumar Rakesh, Tapas SamantaSecure AggregationCross-Dataset Benchmark

    Department of Computer Science and Business Systems Gargi Memorial Institute of Technology Affiliated to Maulana Abul Kalam Azad University of Technology Balarampur, Mouza Beralia, Baruipur, Kolkata 700144, West Bengal, India · Computer and Informatics Group, Variable Energy Cyclotron Centre 1/AF, Bidhannagar, Kolkata 700064, West Bengal, India · Engineering Sciences, Homi Bhabha National Institute Anushaktinagar, Mumbai, Maharashtra 400094, India

  8. Good Rankers, Bad Objectives: Bilinear Contrastive Critics under Expressive Policy Search

    Jul 29, 2026Ayushman Singh, Siddharth AphaleAction SelectionContrastive Learning

    Stanford University

  9. BadWAM: When World-Action Models Dream Right but Act Wrong

    Jul 16, 2026Qi Li, Xingyi Yang, Xinchao WangAction GenerationBlack-Box Adversarial Attacks

    National University of Singapore · The Hong Kong Polytechnic University

  10. The Good, the Bad, and the Brittle: Benchmarking Robustness and Generalisation of Histopathology Foundation Models

    Jul 5, 2026Dhyey Yajnik, Amina Asif, Fayyaz MinhasPathology Foundation ModelsComputational Pathology

    Predictive Systems in Biomedicine Lab, Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, United Kingdom

  11. "Don't Say It!": Constraints, Compliance, and Communication when Language Models Play Taboo

    Jul 1, 2026Sara Candussio, Francesca Padovani, Daniel Scalena +1Large Language Models FailCompliance

    AILab, MIGe, Univeristy of Trieste, Italy · Center for Language and Cognition (CLCG), University of Groningen, The Netherlands · University of Milano - Bicocca, Italy

  12. Pigeonholing: how bad prompts hurt models, causing collapse and mistakes

    Jun 23, 2026Hyunji Nam, Keertana Chidambaram, Dorottya Demszky +1Large Language Models FailInstruction-Tuned Models

    Stanford University · University of Washington

  13. BadWorld: Adversarial Attacks on World Models

    Jun 15, 2026Linghui Shen, Mingyue Cui, Xingyi YangVideo World ModelsWorld Models

    The Hong Kong Polytechnic University

  14. Position: Good Embodied Reward Models Need Bad Behavior Data

    May 31, 2026Ran Tian, Yilin Wu, Andrea BajcsyRobotic Data AcquisitionAgent Behavior Modeling

    UC Berkeley · NVIDIA Research · Carnegie Mellon University

  15. BadBone: Backdoor Attacks Against Backbone Models in Visual Prompt Learning

    May 29, 2026Ziqing Yang, Rui Wen, Xinlei He +3Model-Agnostic DefenseBad

    1CISPA Helmholtz Center for Information Security · Institute of Science Tokyo · 3Wuhan University +1

  16. BOKBO (Best of K Bad Options): Calibrated Abstention for VLA Policies

    May 28, 2026Anya Singh, Cabrel Happi, Jai Relan +2AbstentionBad

    Relling Systems

  17. SoundnessBench: Can Your AI Scientist Really Tell Good Research Ideas from Bad Ones?

    May 28, 2026Sy-Tuyen Ho, Minghui Liu, Huy Nghiem +1Artificial Intelligence ScientistsBad

    University of Maryland, College Park

  18. The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction

    May 28, 2026Shu Wan, Abhinav Gorantla, Huan Liu +1Tabular LearningClinical Prediction

    Arizona State University Tempe, United States

  19. When Good Equations Get Bad Scores: Improving Symbolic Regression Through Better Parameter Optimization

    May 22, 2026Boxiao Wang, Kai Li, Zhiwei Chen +5Symbolic RegressionUnified Path-Integral Update

    Institute of Automation, Chinese Academy of Sciences

  20. Bad Seeing or Bad Thinking? Rewarding Perception for Multimodal Reasoning

    May 13, 2026Haozhe Wang, Qixin Xu, Changpeng Wang +4Multimodal ReasoningPerception

    1Hong Kong University of Science and Technology (HKUST) · 2Tsinghua University · 3Zhejiang University +2

  21. BadSKP: Backdoor Attacks on Knowledge Graph-Enhanced LLMs with Soft Prompts

    May 12, 2026Xiaoting Lyu, Yufei Han, Hangwei Qian +6Attacker Large Language ModelLarge Language Model Backbones

    Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi’an Jiaotong University, 710049, Xi’an, Shaanxi, China · INRIA, 35042, Rennes, Bretagne, France · CFAR, A*STAR, 138632, Singapore +4

  22. Good in Bad (GiB): Sifting Through End-user Demonstrations for Learning a Better Policy

    May 2, 2026Noushad Sojib, Ola Ghattas, Momotaz BegumImitation LearningBad

    Department of Computer Science, University of New Hampshire, USA

  23. Estimating Tail Risks in Language Model Output Distributions

    Apr 24, 2026Rico Angell, Raghav Singhal, Zachary Horvitz +4Large Language Model SafetyLarge Language Model Alignment

    Center for Data Science, New York University · Department of Computer Science, New York University · Columbia University

  24. Stealthy Backdoor Attacks against LLMs Based on Natural Style Triggers

    Apr 23, 2026Jiali Wei, Ming Fan, Guoheng Sun +3Attacker Large Language ModelClean Label Backdoor Attack

    School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China · Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an 710049, China

  25. Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification

    Oct 6, 2023Shanshan Han, Wenxuan Wu, Baturalp Buyukates +4Federated LearningModel-Agnostic Defense

    University of California, Irvine · Texas A&M University · University of Birmingham +3