Prompt

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  1. AISPA: User-Centric System Prompt Auditing for Large Language Model Applications

    Jul 30, 2026Xiangning Lin, Shenzhe Zhu, Shu Yang +23Artificial Intelligence GovernanceArtificial Intelligence Systems

  2. APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems

    Jul 30, 2026Shentong Mo, Yatao BianMulti-Objective Policy OptimizationAutomatic Prompt Optimization

  3. LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models

    Jul 30, 2026Shuang Liang, Haoyang Zhou, Yifan Gong +2Reinforcement Learning With Verifiable RewardLarge Language Model Reasoning

  4. LoRA Scaffolded Policy Optimization (LSPO): A Sampling-Time Low-Rank Scaffold for Recovering Reinforcement-Learning Gradient on Zero-Reward Cliff Prompts

    Jul 30, 2026Ken DingReinforcement Learning With Verifiable RewardMulti-Objective Policy Optimization

  5. What makes prompts a graph: necessary and sufficient conditions for prompt graph engineering

    Jul 30, 2026Sandeco MacedoPrompt EngineeringTraditional Dataflow Analysis

  6. Dual Inversion for Text-to-Image Diffusion Models: From Both Prompt and Noise Perspectives

    Jul 29, 2026Xiaolong Liu, Junjian Li, Yuan Xiao +4Text-To-Image Diffusion ModelsText-To-Image

  7. Fewer Clarifications, Better Code: Benchmarking Cross-Session Personalized Ambiguity Adaptation in Coding Assistants

    Jul 29, 2026Zijian Xu, Wenshuo Zhang, Zisen Qin +4Artificial Intelligence AssistantsAutomatic Prompt Optimization

  8. (Im)Paired Programming: Coding Agents Improve Productivity but Harm Understanding

    Jul 29, 2026Nishant Balepur, Connor Baumler, Valerie Chen +3Coding AgentsArtificial Intelligence Agents

  9. Evaluating Prompt Scope and Demonstration Similarity in Local LLM Machine Translation

    Jul 28, 2026Mihael ArcanMachine Translation ModelsPrompt Engineering

  10. Visual prompt engineering for video models

    Jul 28, 2026Robert Geirhos, Yuxuan Li, Thaddäus Wiedemer +7Visual In-Context LearningVisual Reasoning

  11. Rethinking Expert Training for Model Merging with Prompt Learning

    Jul 27, 2026Christos Georgakilas, Aniello Panariello, Samir El Karrat Moreno +3Continual Model MergingModel Merging

  12. Are Prompt Optimizers Blind? Cross-Modal Visual Feedback for Automatic Prompt Optimization

    Jul 27, 2026Haoyue Liu, Xiaoyu Ma, Ye Chen +2Automatic Prompt OptimizationCross-Modal Learning

  13. PRISM: Prompt Refinement via Image-grounded Self-rewarding Mechanism for Text-to-Image Generation

    Jul 27, 2026Guo Tang, HongJie Luo, Tianxu Wang +2Text-To-ImageText Generation

  14. SyRuP: Enhancing System-Prompt Following via Reward-Guided Prediction in LLM Decoding

    Jul 27, 2026Seoyeon Kim, Minjae Kang, Jaehyung KimPrior Prompt Optimization TechniquesPairwise Preferences

  15. Adversarial Prompts for Acceptance Collapse in Speculative Decoding

    Jul 23, 2026Run Wang, Chaoyi Zhou, Xi Liu +7Speculative DecodingAd

  16. Prompt as a Data Type: In-Database LLM Prompt Management and Rewriting

    Jul 23, 2026Denis Mayr Lima Martins, Gottfried VossenPrompt EngineeringComplex Query Answering

  17. Geometric Configurations of Perturbed Jailbreak Prompts

    Jul 22, 2026Lynn Delcon, Andres Algaba, Vincent GinisLarge Language Model JailbreaksJailbreak Evaluations

  18. Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models

    Jul 21, 2026Netanel EliavInstruction-Tuned ModelsPrompt Engineering

  19. From Monolithic to Modular: Segment-level Automatic Prompt Optimization

    Jul 21, 2026Nikita Kulin, Viktor Zhuravlev, Artur Khairullin +4Prior Prompt Optimization TechniquesAutomatic Prompt Optimization

  20. One Rewrite to Fix Them All? Type-Aware Repair Allocation for Text-to-Image Prompt Optimization

    Jul 21, 2026Haoyue Liu, Xiaoyu Ma, Ye Chen +2Text-To-ImagePrior Prompt Optimization Techniques

  21. CPInj: Uncovering Prompt Injection Risks in Textual Collaborative Prompt Optimization

    Jul 21, 2026Xinting Liao, Behnoosh Zamanlooy, Masoumeh Shafieinejad +4Indirect Prompt InjectionPrior Prompt Optimization Techniques

  22. TAPR: Enhancing LLM Performance with a Task-Aware Prompt Rewriter

    Jul 17, 2026Oliver Savolainen, Emanuele Bastianelli, Hosein AzarbonyadPrompt EngineeringLarge Language Model Performance

  23. BayesPO: Bayesian Prompt Optimization via Parallel-Tempered Gradient-Guided Discrete MCMC

    Jul 17, 2026Junjie Zhou, Zhijian OuPrior Prompt Optimization TechniquesPosterior Sampling

  24. Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization

    Jul 17, 2026Yong Chu, Xun Zhou, Zenglin Xu +2Wireless NetworksLocalization Methods

  25. Ask Twice, Look Twice: Prompt Echoing Resolves the Question-First Paradox in Vision-Language Models

    Jul 17, 2026Rakshanda Hassan Abhinandan, John Galeotti, Deva Ramanan +1Prompt EngineeringParadox

  26. MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation

    Jul 16, 2026Yinhan Zhang, Dinwei Tan, Xianghao Kong +3Pre-Trained Video Diffusion ModelsPrompt Tuning

  27. High-Order Question Generation in a Multilingual Educational Context

    Jul 15, 2026Suna-Şeyma Uçar, Itziar Aldabe, Nora Aranberri +1MultilingualClassrooms

  28. Form, Not Content? A Preregistered, Placebo-Controlled Evaluation of Learned Error-Conditioned Self-Repair Through Prompts and Weights in Frozen Small Code Models

    Jul 14, 2026Mehmet IscanControlled StudyPrompt Engineering

  29. NetInjectBench: Benchmarking Indirect Prompt Injection in Tool-Using Large Language Model Agents for Network Operations

    Jul 11, 2026Ruksat Khan Shayoni, Muhammad Faraz Shoaib, S M Asif Hossain +1Indirect Prompt InjectionAuthorization

  30. MAGE: Understanding Stability-Performance Trade-offs in Multi-component Prompt Optimization

    Jul 11, 2026Prateek SinghPrior Prompt Optimization TechniquesAutomatic Prompt Optimization

  31. From Direction to Magnitude: How Multimodal Instruction-Tuning Reorganizes the Geometric Encoding of Identity-Specifying Prompts in Transformer Hidden States

    Jul 10, 2026Jorge A. Castillo, Marco Torres Yévenes, Juan Carlos LanasInstruction-Tuned ModelsMulti-Modal Large Language Models

  32. Trivial Prompt Reframing Bypasses Safety Guardrails in Googleś MedGemma-4B

    Jul 9, 2026Avi-ad Avraam BuskilaLarge Language Model SafetyHigher Attack Success Rates

  33. From Prompts to Contracts: Harness Engineering for Auditable Enterprise LLM Agents

    Jul 9, 2026Joongho Ahn, Moonsoo KimPersonalized Large Language Model AgentsValidity

  34. PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation

    Jul 7, 2026Yuhang Wu, Shuxiang Zhang, Wee Hian Ching +2Text-To-ImageText Generation

  35. Prompting Complexity: Shortest Prompts for Texts and Behaviors in LLMs

    Jul 7, 2026Adrian CosmaInstruction-Tuned ModelsPrompt Engineering

  36. Prompt Coach: An Empirical Evaluation of an Agentic Tutor for Learning Prompt Engineering in Software Development

    Jul 7, 2026Rohit Mehra, Kapil Singi, Vikrant Kaulgud +5Automatic Prompt OptimizationSoftware Engineering

  37. Learning Probabilistic Prompt for Continual Learning

    Jul 6, 2026Hyekang Park, Sanghoon Lee, Geon Lee +2Efficient Continual LearningContinual Learning Methods

  38. SPL: Orchestrating Workflows with Declarative Deterministic-Probabilistic Composition

    Jul 6, 2026Wen G. GongDeterministicMock-Interface Synthesis

  39. LLM-as-a-Tutor: Policy-Aware Prompt Adaptation for Non-Verifiable RL

    Jul 5, 2026Yujin Kim, Namgyu Ho, Sangmin Hwang +7Reinforcement Learning With Verifiable RewardAdaptive Testing

  40. Probe, Don't Prompt: A Hidden-State Probe for Metadata Filtering in Multi-Meta-RAG

    Jul 4, 2026Mykhailo Poliakov, Nadiya ShvaiMetadataPrompt Engineering

  41. CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning

    Jul 4, 2026Jiayi Guan, Tianle Zhang, Li Shen +8Offline Reinforcement LearningDiscrete Diffusion Model

  42. USE: A Unified Self-Ensembling Framework for Test-Time Prompt Tuning

    Jul 4, 2026Siru Jiang, Jian Liang, Ran He +1Prompt TuningStable Test-Time Adaptation

  43. DualView: Preventing Indirect Prompt Injection in Personal AI Agents

    Jul 4, 2026Juhee Kim, Woohyuk Choi, Taehyun Kang +2Indirect Prompt InjectionUntrusted Input

  44. Reflective Dialogue or Prompt Refinement? Effects of Tutor Scaffolding on Students' Independent LLM Use for Programming

    Jul 3, 2026Jerome Brender, Laila El-Hamamsy, Kim Uittenhove +4Socratic DialogueTutors

  45. A Decomposable Probe for Few-Step Diffusion Models: Prompt, Latent, and Score Selectivity across Backbone Families and Distillation Paradigms

    Jul 3, 2026Patrick Mu HaojieDiscrete Diffusion ModelImage Denoising

  46. The Role of Prompt Language and Translation-Theory-Driven Prompts in Large Language Models: A Case Study on Spanish-Chinese Journalistic Translation

    Jul 3, 2026Haohong Lai, Weijia LiTranslation QualityPrompt Engineering

  47. PromptPET: Privacy-Utility Optimized Prompt Obfuscation

    Jul 3, 2026Ke Yang, Olivia Figueira, Umar Iqbal +1Prompt-Level MitigationsPrivacy-Utility Trade-Offs

  48. Prompt Coverage Adequacy

    Jul 2, 2026Florian Tambon, Michael Konstantinou, Cedric Richter +3Test GenerationPrompt Engineering

  49. OpenSafeIntent: Evaluating Intent-Calibrated Safe Completion Across Dual-Use Prompt Sets

    Jul 2, 2026Rheeya Uppaal, Seungwoo Lyu, Selina Sung +1Large Language Model SafetyPrompt-Level Mitigations

  50. EquiSteer: Cross-Attention Steering Towards a Fairer Text-Guided Image Generation

    Jul 1, 2026Tatiana Gaintseva, Akshit Achara, Gregory Slabaugh +2Text-To-Image Diffusion ModelsVideo-Text Alignment

  51. CPG-PAD: Concept-Informed Prompts Guided Presentation Attack Detection

    Jul 1, 2026Haoyuan Zhang, Xiangyu Zhu, Li Gao +3Attention-Guided TransunetFine-Grained Perception

  52. AdaBoosting Text Prompts for Vision-Language Models

    Jul 1, 2026Seokhee Jin, Changhwan Sung, Sunung Mun +2Vision-Language Model AdaptationFew-Shot Learning

  53. Beyond the Prompt: Jailbreaking Function-Calling LLMs via Simulated Moderation Traces

    Jul 1, 2026Junlong Liu, Haobo Wang, Weiqi Luo +1Jailbreak AttacksJailbreaks

  54. No Prompt, No Leaks: A Robust Generative Steganography Framework via Prompt-Free Diffusion

    Jun 30, 2026Jingwen Cai, Fen Xiao, Shuhua Deng +1SteganographyLatent Diffusion Model

  55. Contrastive Reflection for Iterative Prompt Optimization

    Jun 29, 2026Derek Koh, Jinghui Mo, Benjamin H. Le +7Prior Prompt Optimization TechniquesContrastive

  56. Learning from Reliable Latent Prompts for Visual Recognition with Missing Modalities

    Jun 29, 2026Taixi Chen, Nancy GuoMissing ModalitiesCross-Modal Learning

  57. Behavior Prompting Policy: Demonstrations as Prompts for Manipulation

    Jun 29, 2026Austin Patel, Ben Pekarek, Joel Enrique Castro Hernandez +1Visuomotor PolicyManipulation

  58. Know Before You Fetch: Calibrated Retrieval-Budget Allocation for Retrieval-Augmented Generation

    Jun 29, 2026Zhe Dong, Fang Qin, Manish Shah +1Token BudgetsPrompt Engineering

  59. Two-Stage Prompt Optimization for Few-Shot Relation Extraction: From Reasoning-Guided Search to Gradient-Guided Refinement

    Jun 28, 2026Aunabil Chakma, Mihai Surdeanu, Eduardo BlancoPrior Prompt Optimization TechniquesRelation Extraction

  60. Reproducing FACTER: Fairness via Conformal Thresholding and Prompt Repair

    Jun 26, 2026Oscar Miró López-Feliu, Daimy van Loo, Xanthos Kekkos +2RerankingMultilevel Image Thresholding