Prompt

Ask about this field

Recent momentum

emerging

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

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

Weekly history

Recent digests

What was published in this field, kept on the site without email delivery.

Period ending 2026-09-21

6 new papers

A weekly snapshot of new work published in Prompt.

Period ending 2026-09-14

10 new papers

A weekly snapshot of new work published in Prompt.

Period ending 2026-09-07

15 new papers

A weekly snapshot of new work published in Prompt.

Inside this field

Focused directions

313 papers

Latest in Prompt

Browse all topics →
CardsList

  1. STEVE: Stabilizing Textual Gradient-Based Prompt Optimization via Error-Driven Refinement and Regularized Verification

    Sep 20, 2026Yifan Xu, Yixuan Li, Xinzhuo Li +4Prior Prompt Optimization TechniquesText Generation

  2. Cross-Modal Attention Acts as a Frequency Filter: Why Verbose Prompts Improve Robustness in Vision-Language Models

    Sep 17, 2026Farooq Ahmad Wani, Maria Sofia Bucarelli, Mujtaba Hussain Mirza +5Cross-Modal AttentionPrompt Engineering

  3. GAPrompt++: Multi-Granular Geometry-Aware Point Cloud Prompt for 3D Vision Model

    Sep 17, 2026Zixiang Ai, Zhenyu Cui, Yufei Guo +4Certified Point-Cloud3D Geometry

  4. Bridging the Confidence Gap: Temperature Scaling for Calibrating Test-Time Prompt Tuning

    Sep 15, 2026Yuwei Liang, Jian Liang, Dapeng Hu +2Prompt TuningImagenet

  5. Failure-Guided Co-Evolution of Prompts and Training Data

    Sep 14, 2026Tianyu Yuan, Zhuzhong QianAutomatic Prompt OptimizationPrompt Engineering

  6. Not All Prompts Are Equal: Exploration-Guided Prompt Scaffolding for Multimodal Reinforcement Post-Training

    Sep 14, 2026Yuanhao Yue, Qianli Ma, Chengyu Wang +3Prompt EngineeringMultimodal Learning

  7. Mirror, Mirror on the Wall: Prompt Echoing in Small Instruct Language Models

    Sep 14, 2026Inez Okulska, Bartosz Naskręcki, Jan Piotrowski +1Instruction-Tuned ModelsSmall Language Models

  8. Prompt Revision as a Source of Cultural Bias in Text-to-Image Systems

    Sep 12, 2026Aleksandra Urman, Elsa Lichtenegger, Salima Jaoua +7Text-To-ImageStereotype Mitigation

  9. AcFlow: Controlling Text-to-Image Diffusion Transformers via Learned Conditional Activation Flow

    Sep 12, 2026Junran Wang, Zehao Jin, Tianyu Luan +1Text-To-Image Diffusion ModelsTransformer Architectures

  10. Your Model Already Knows Don't Teach It, Learn to Ask It: Soft Prompting for Few-Shot Adaptation of Vision-Language Models

    Sep 12, 2026Gautam Rajendrakumar Gare, Siyi Li, Hewei Wang +5Knowledge-Based Visual Question Answering BenchmarksLow-Rank Adaptation

  11. Larger Context Window, Fewer Overcorrections: Optimizing Prompts and Batching for Minimal-Edit Grammatical Error Correction

    Sep 11, 2026Kateryna Karpo, Artem ChernodubGrammatical Error CorrectionCorrection

  12. Agent-Based ML-LLM Fusion with Self-Optimizing Prompts for Plateau Weather Alerts

    Sep 9, 2026Shuai Yan, Yang Xu, Shan HeAdverse WeatherAutomatic Prompt Optimization

  13. Vague2Detect: Handling Ambiguous Prompts in Knowledge-Based Open-World Detection

    Sep 9, 2026Ibrohimjon Muminov, Jihie KimOpen-Vocabulary Object DetectionOpen-Vocabulary

  14. StreetDiff: Multi-view Street Scenes Generation via Cross-view Consistent Multi-view Stable Diffusion with Structure Prompts

    Sep 9, 2026Qi Zhang, Yanyifan Wang, Weiyuan Zhang +1Multi-View Diffusion ModelCross-View

  15. SeGDeP: Semantic- and Geometric-Aware Decoupled Prompts for Reasoning Segmentation

    Sep 8, 2026Linnan Zhao, Xu Liu, Lingling Li +3Vision-Language Model GroundingMllm-Based

  16. When Victorian Becomes a Prompt: Literary Periodization as a Generative Constraint in 100 AI-Generated Novels

    Sep 8, 2026Mehdy Sedaghat PayamLiteraturePrompt Engineering

  17. AgentGrad: Intervention-guided Prompt Optimization for Multi Agent Systems

    Sep 8, 2026Jaewon Chu, Jinwoo Seo, Jaewon Cho +4Multi-Agent SystemsPrompt Optimization

  18. SAM3-O2D2: Zero-Shot Object Out-of-Distribution Detection by Object Class Prompting of the SAM3-Image Model

    Sep 8, 2026Lucas Görnhardt, Timo Bartels, Tim FingscheidtOut-Of-Distribution DetectionOut-Of-Distribution

  19. Beyond Prompts: Measuring and Optimizing LLM Tool-Agent Harnesses

    Sep 4, 2026Cen Mia Zhao, Haibo Ruan, Wenjie Chen +3Multi-Turn Tool-Use AgentLarge Language Model Agents

  20. ESPO: Error-Structured Prompt Optimization via Diagnose, Diversify, and Stabilize

    Sep 3, 2026Lihao Liu, Peng Tang, Kunwar Yashraj Singh +1Automatic Prompt OptimizationInstruction-Tuned Models

  21. Extracting Forgotten Prompts from Targeted Unlearned Models

    Sep 3, 2026Au Ashley Hoi-Ting, Meghdad Kurmanji, William F. Shen +2Exact UnlearningPrompt Engineering

  22. Analysis of Prompt Engineering for Drug Toxicity Prediction

    Sep 3, 2026Mia MacGregor, Aakash Welgamage Don, Mark BartlettDrug-Drug InteractionsAutomatic Prompt Optimization

  23. A Prompt-Engineering Approach to Develop Scalable, Flexible, and Real-Time Hybrid Micro-Level Personalization in a General Purpose AI Teaching Assistant

    Sep 3, 2026Saptarshi Basu, Sandeep Kakar, Ashok GoelTutorsPersonalization

  24. The Analyst in the Prompt: Role, Retrieval, and Memory Biases in LLM Financial Analysis

    Sep 2, 2026Ahmed Asaad, Amr Mohamed, Yang Zhang +1Financial Strategy ResearchPrompt Engineering

  25. How Do Prompt Variations Affect Energy Consumption in On-Device LLMs?

    Sep 1, 2026Wei Hu, Xiaolong Tu, Dawei Chen +3LLM Inference EfficiencyPrompt Engineering

  26. One Prompt Is Enough: Watermark Laundering Through Foundation Image Models

    Sep 1, 2026Jidong Yang, Qi Li, Wei Zong +5WatermarksFew-Shot Contrastive Language-Image Pre-Training Adaptation

  27. Control-Data Flow Separation: Stable Prompt Optimization in Multi-Agent LLMs

    Sep 1, 2026Wentao Zhang, Syed Shariyar Murtaza, Junaid Ahmad Bhatti +4Multi-Agent Large Language ModelMulti-Agent Large Language Model Systems

  28. Asymmetries in Spontaneous and Instructed Deception

    Aug 31, 2026Josiah LuikhamDeceptionAsymmetry

  29. Towards Cognitive Process-Aware Proactive Writing Support

    Aug 31, 2026Masahiro Yoshida, Atsuya Kobayashi, Kei Tateno +1Ai-Assisted WritingWriting

  30. Will the User Ever Know? Covert Indirect Prompt Injection Attacks on Tool-Using LLM Agents

    Aug 31, 2026Yunseok Lee, Yunji Kim, Woojin LeeIndirect Prompt InjectionLarge Language Model Agents

  31. Rethinking the Test-Time Prompt Tuning Objective from the Perspective of Calibration

    Aug 31, 2026Jungwon Choi, Hyeonseo Jang, Kibok Lee +1Prompt TuningCapture-Aware Prototype Calibration

  32. When Does a Classifier Help an LLM? Classifier-Guided Prompting and Hybrid Classifier-LLM Models for Credit-Default Prediction

    Aug 30, 2026Rishi Datta, Lavanya PrahalladCredit Risk PredictionPrompt Engineering

  33. HiVe: Beyond Static Prompts for Multitask Learning via Hierarchy-based Vertical Mixture-of-Experts

    Aug 30, 2026Hyeonjik Bae, Minyeol Kim, Susik YoonPrompt TuningParameter-Efficient Fine-Tuning

  34. A Probe Direction Is a Property of Its Prompt

    Aug 13, 2026Valentin NoëlPrompt EngineeringComparison

  35. Prompts in the Wild: A Large Analyzed Collection of Transactional Prompts in Code

    Aug 13, 2026Victoria Basmov, Yoav Goldberg, Reut TsarfatyPrompt Engineering

  36. Beyond Trial-and-Error: Agentic Optimization for Image-to-Video Adherence

    Aug 12, 2026Aman Tyagi, Hemanth Boinpally, Jonathan Chen +2Large-Scale Video Generation ModelsPrior Prompt Optimization Techniques

  37. Templated or fully synthetic? Prompt construction as a confound in measuring LLM political stance beyond writing assistance

    Aug 11, 2026Ilias ChalkidisPolitical DiscoursePrompt Engineering

  38. ReOrder-OPD:Reliability-Aware Prompt Ordering for On-Policy Distillation

    Aug 11, 2026Ximo Zhu, Ruiqi Liu, Rong Wang +8On-Policy DistillationRp-Opsd

  39. Optimal Stopping of Self-Refining Foundation Models

    Aug 11, 2026Kim Hammar, Tansu Alpcan, Emil C. LupuOptimal StoppingPrior Prompt Optimization Techniques

  40. RLMOpt: Adaptive Prompt Optimization via Recursive Language Models

    Aug 11, 2026Subhash Bangalore Satheesha, Nirvik Pande, Deepthi Duddempudi +1Automatic Prompt OptimizationPrompt Engineering

  41. Distill Skills into Weights, Not Prompts: Abstract Skills as Privileged Signals for On-Policy Self-Distillation

    Aug 10, 2026Yubo Jiang, Fengying Xie, Zhiguo Jiang +1Unsupervised On-Policy Self-DistillationUnsupervised Skill Discovery

  42. Training-Free Universal Approximation by Prompting Random Transformers

    Aug 10, 2026Alexander Hsu, Rongjie LaiSoftmax AttentionApproximation

  43. From Prompt to Harness: Coderlet from Scratch

    Aug 10, 2026Mengfan LiAgent HarnessLifecycle

  44. Same Question, Different Answer? Measuring and Mitigating Prompt Privilege for Equitable AI Access

    Aug 9, 2026Lier Jin, Lan Hu, Binqi Shen +2Prompt EngineeringLarge Language Model Bias

  45. Toward Metacognitive One-Shot Indirect Prompt Injection: Strategy Abstraction Via Outcome-Conditioned Reflection

    Aug 9, 2026Sihan Hou, Xinmeng Hou, Zhijun Zhang +5Indirect Prompt InjectionOpenclaw

  46. Your Prompt Is Not the Only Prompt: How Much Do LLMs Weight Structured-Output Schema Descriptions?

    Aug 8, 2026Sin-Ying LinSchemaPrompt Engineering

  47. Effect of Abstractions and Prompting Strategies on LLM-Guided High-Performance Optimizations

    Aug 8, 2026Jiří Klepl, Maty'aš Brabec, Martin KrulišCode OptimizationPrompt Engineering

  48. ZOMP: Zeroth-Order Multi-Modal Prompt Tuning for Vision-Language Models

    Aug 8, 2026Sajjad Ghiasvand, Yifan Yang, Mahnoosh Alizadeh +1Prompt TuningFew-Shot Contrastive Language-Image Pre-Training Adaptation

  49. The Optimizer Is the Agent: Reasoning-Driven Search across Prompts, Programs, and ML Workflows

    Aug 7, 2026Junbo Li, Boyi Liu, Canwen Xu +5Agentic OptimizationAutoresearch

  50. StepJack: Benchmarking Computer-Use Agent Safety Against Multi-Step Indirect Prompt Injection

    Aug 6, 2026Zhuoxin Zhan, Akbar Rafiey, Avery Ma +2Indirect Prompt InjectionTransferable Attack

  51. When Prompts Become Pixels: Prompt-Region Grounding for Multimodal Reasoning

    Aug 5, 2026Yongxin Wang, Ruizhe Zhou, Yueling Tang +4Multimodal ReasoningContextual Grounding

  52. Relevant but Incomplete: Referential Dangling as a Paradigm-Level Failure Mode in Hard Prompt Compression

    Aug 5, 2026Zhengpei Hu, Kai Li, Dapeng Fu +5LongbenchContext Compression

  53. CAPE-T2V: Captioner-Anchored Prompt Enhancement toward Two-Sided Conditioning Alignment in Text-to-Video Generation

    Aug 4, 2026Yizhuo Jia, Jingyun Hua, Yuanxing ZhangText-To-Video ModelsVideo Captioning

  54. USP-Mamba: Unmixing-Derived Spectral and Structural Prompting for Hyperspectral Image Super-Resolution

    Aug 3, 2026Shi Chen, Jie Zhang, Yicong ZhouHyperspectral Image Super-ResolutionHyperspectral Unmixing

  55. Asking Questions the Right Way: A Multi-Agent Conversational System for Prompt Formulation in Complex Task Resolution

    Aug 2, 2026B. Sankar, Pawni Yadav, Srinidhi Ranjini Girish +1Prompt EngineeringCognitive Science

  56. A Heuristic Perspective on Debiasing Language Models

    Aug 1, 2026Tian Lan, Yemin Wang, Chuancheng Shi +6Large Language Model BiasBias Mitigation

  57. Bridging the Question-Answer Gap in Retrieval-Augmented Generation: Hypothetical Prompt Embeddings

    Jul 31, 2026Domen Vake, Jernej Vičič, Aleksandar TošićRetrieval-Augmented Generation SystemsPrompt Engineering

  58. Simulation Code Generation for Fluid Systems using Large Language Models: Benchmarking Models and Prompting Strategies

    Jul 31, 2026Jan Marius Stürmer, Jascha Knack, Tobias Koch +1Code GenerationMle-Bench Lite

  59. PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction

    Jul 31, 2026Pirzada Suhail, Nagasai Saketh Naidu, Atanu R Sinha +1Next-Token PredictionPrompt Engineering

  60. Visual Distribution Anchoring for Efficient Prompt Tuning

    Jul 31, 2026Pouya Parsa, Raoof Zare Moayedi, Seongjin ChoiVision-Language Model AdaptationPrompt Tuning