Prompt Engineering

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45 papers in the last four weeks, up 125% on the four weeks before. 0.4% of all new papers.

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  1. When the Judge Acts: Auditing VLM-Guided Image Selection on Culturally Situated Prompts

    Oct 1, 2026Huichan SeoLarge Language Model JudgesJudges

    Independent Researcher

  2. Unlearnable, or Unmeasured? On the Reliability of Difficulty Labels in RLVR

    Sep 30, 2026Chandak Chakma, Syed Nazmus Sakib, Nafiul Haque +1Reinforcement Learning With Verifiable RewardVerifiable Rewards

    Department of Robotics and Mechatronics Engineering, University of Dhaka

  3. UniBuc at SemEval-2024 Task 2: Tailored Prompting with Solar for Clinical NLI

    Sep 30, 2026Marius Micluta-Campeanu, Claudiu Creanga, Ana-Maria Bucur +2Natural Language InferenceNatural Language Processing

    Interdisciplinary School of Doctoral Studies, ♡HLT Research Center University of Bucharest, Romania · Faculty of Mathematics and Computer Science

  4. Ready2Blend: From Natural-Language Instructions to Composable Alignment Prompts

    Sep 30, 2026Jeesu Jung, Hwan Chang, Juseon Do +5Value AlignmentLarge Language Model Adaptation

    Korea Advanced Institute of Science and Technology · Samsung SDS

  5. K2P: Label-Free Knowledge to Prompt Distillation

    Sep 30, 2026Yingchuan Zhang, Haoran Lu, Wenxuan Zhong +1Knowledge DistillationTeacher

    Department of Statistics University of Georgia Athens, GA 30602

  6. No Corners Cut: State-Grounded Transitions for Mid-Stream Prompt Switches in Video Generation

    Sep 30, 2026Zejing Rao, Ketong Ren, Xiaoqiang Liu +3Video GenerationTransitions

    University of Chinese Academy of Sciences · Kling AI · University of Science and Technology Beijing

  7. NAQD Env: A benchmark for selective withdrawal in language agents

    Sep 29, 2026Mohamed AbouzahraSelectivePrompt Engineering

    California State University, Monterey Bay

  8. Reach Into The CHOIR: Free-List Elicitation Uncovers Distinct Model Voices in LLM Ensembles

    Sep 29, 2026Ben Wigler, Maria TsfasmanElicitationPrompt Engineering

    LoveMind AI, New York, USA

  9. Learning as Deepfakes Evolve: RF-Prompt for Continual Audio Deepfake Detection

    Sep 29, 2026Yuankun Xie, Xiaoxuan Guo, Xiaopeng Wang +3Environmental Sound Deepfake DetectionAudio Deepfake Detection

    The Hong Kong Polytechnic University, Hong Kong SAR, China · Communication University of China, Beijing, China · Beijing Institute of Technology, Beijing, China

  10. Dating the Model: Hidden Dates in System Prompts Affect LLM Evaluation

    Sep 29, 2026Mario Sanz-Guerrero, Minh Duc Bui, Manuel Mager +1ReproducibilityPrompt Engineering

    Johannes Gutenberg University Mainz, Germany · Universidad Iberoamericana, Mexico · University of Colorado Boulder, USA

  11. How Much Prompt Is Enough? A Blackbox Minimization of Few-Shots in LLMs

    Sep 28, 2026Ali Alfageeh, Rahul Gopinath, Amin AlipourPrior Prompt Optimization TechniquesPrompt Engineering

    University of Houston · The University of Sydney

  12. Render Before Reading: Visual Rendering as a Prompt Injection Defense

    Sep 28, 2026Jie Zhang, Andrei Baroian, Jan N. van Rijn +2Indirect Prompt InjectionMultimodal Large Language Models

    ETH Zurich · Leiden University

  13. Don't Inoculate Everything: Stratified Inoculation Prompting Narrows Backdoor Triggers and Preserves Desired Traits

    Sep 28, 2026Kajetan Dymkiewicz, Tim Farrelly, Adam Prada +7Inoculation PromptingTraining-Inference Mismatch

    University of Cambridge · Independent · University of California, Berkeley +3

  14. Same Bytes, Different Authority: Reserved-Token Representations in Chat-Template Prompt Injection

    Sep 28, 2026Yan Zhan, Yunze Song, Mengkai Hou +3Instruction-Tuned ModelsPrompt Engineering

    Peking University · National University of Singapore · BYD Company Limited +1

  15. What Drives Citations in Production Large Language Models? An Observational Multi-Method Study of Two Million AI Citations Across Ten Thousand Web Pages

    Sep 28, 2026Ben Moore, Liam DunneCitationsMulti-Model Study

    Discovered Labs

  16. Instance-Adaptive Prompts as Context for Time-Series Foundation Models

    Sep 28, 2026Zehao Xiao, Shifeng Xie, Lei Zan +5Time Series Foundation ModelsWireless Foundation Models

    Huawei Noah’s Ark Lab, Paris, France · LIPADE, Universit´e Paris Cit´e, Paris, France · Huawei Noah’s Ark Lab, Shenzhen, China

  17. Climbing the Hill: Prompt Injection Red-Teaming Against Frontier Models with Curriculum Reinforcement Learning

    Sep 27, 2026Chenlong Yin, Xiaolong Jin, Wei Zou +2Attacker Large Language ModelRed-Teaming

    The Pennsylvania State University · Purdue University

  18. How Reproducible Are Evaluation Conclusions? A Self-Audit of LLM-Inferred Prompt Structure

    Sep 24, 2026Dipankar SarkarLarge Language Model EvaluationReproducibility

    Skelf Research

  19. ENDOPROMPT: Victim-Side Pseudo-References for Utility Degradation

    Sep 24, 2026Qingyu Wu, Zeyu Feng, Yongda Yu +2Prompt EngineeringInstruction-Tuned Models

    Defense Innovation Institute, Academy of Military Science, Beijing, China · Nanjing University, Nanjing, China

  20. Prompt, Probe, Train, or Annotate? Single-camera sports video understanding in amateur settings

    Sep 23, 2026Sai Varun Kodathala, Prashanth Pollishetty, Jaylen CargillFine-Grained Video UnderstandingAthleticism

    Research and Development Sports Vision, Inc. Minnetonka, MN

  21. Optimizing the Score, Losing Sight of the Task: Reward Hacking Across Weights, Selection, and Prompts

    Sep 22, 2026Vansh WahiDestination-Only ScoringScores

  22. Signed Graph Pre-Training and Prompt Learning

    Sep 22, 2026Zihan Mei, Rong Pan, Yuzhou Chen +1Graph Representation LearningPersistent Homology

    Arizona State University · University of California, Riverside

  23. Gaze responses to false-positive computer-aided detection prompts during colonoscopy: a paired-video and real-time eye-tracking study

    Sep 22, 2026Te Luo, Yan Zhu, Peiyao Fu +5ColonoscopyEye Tracking

    Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, China · Shanghai Key Laboratory of MICCAI, Shanghai, China · Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China +4

  24. RoboMP-DINOv2: Prompts, Not Filters for Robust Robot Manipulation

    Sep 22, 2026Han Qi, Heng YangVisuomotor ControlRobot Systems

    Harvard School of Engineering and Applied Sciences Harvard University

  25. Dissecting Agentic Forensics: The Role of Triage, Prompting, and Evidence Arbitration in Open-World Fake Image Detection

    Sep 21, 2026Xianlong Li, Pietro Bongini, Niccoló Pancino +3Multimedia ForensicsDigital Forensics

    IMT School for Advanced Studies Lucca, Italy · University of Siena, Italy

  26. IMPLICIT-Bench: Measuring Implicit Bias in Text-to-Image Models under Neutral Prompts

    Sep 21, 2026Yue Dai, Ziyang Liu, Marc Cheong +1Modern Text-To-Image ModelsText-To-Image

    The University of Melbourne

  27. Beyond Emotion Prompts: Fine-Grained Text-to-Image Generation Driven by Valence-Arousal-Dominance

    Sep 21, 2026Minglang Li, Yueyue Fang, Xieping GaoLarge-Scale Image DatasetsEmotion Recognition

    College of Information Science and Engineering Hunan Normal University, Changsha, China

  28. 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

    University of Illinois Urbana-Champaign · Google DeepMind

  29. PETR: Prompt Ensembling with Training-free Routing for Vision-Language Models

    Sep 20, 2026Weihan Cai, Hao Tan, Xinping Gao +2Multiple Prompt Learning FrameworksVision-Language Model Adaptation

    State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, and also with the School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China · Purple Mountain Laboratories, Nanjing, China · Beijing University of Posts and Telecommunications, Beijing, China

  30. 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

    Sapienza University of Rome · Université Côte d’Azur · CNRS +3

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

    Sep 17, 2026Zixiang Ai, Zhenyu Cui, Yufei Guo +4Point Clouds3D Geometry

    Wangxuan Institute of Computer Technology, Peking University, Beijing 100871, China · Intelligent Science and Technology Academy of CASIC, Beijing 100041, China · Institute of Software, Chinese Academy of Sciences, Beijing 100190, China +1

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

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

    School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China · NLPR & MAIS, Institute of Automation, Chinese Academy of Sciences, Beijing, China · Independent Researcher

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

    Sep 14, 2026Tianyu Yuan, Zhuzhong QianAutomatic Prompt OptimizationTraining Data

    Nanjing University

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

    Sep 14, 2026Yuanhao Yue, Qianli Ma, Chengyu Wang +3Large Language Model Reinforcement LearningOffline Reinforcement Learning

    Alibaba Cloud Computing · Shanghai Jiao Tong University · Fudan University +1

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

    Sep 14, 2026Inez Okulska, Bartosz Naskręcki, Jan Piotrowski +1Small Large Language ModelsPrompt Engineering

    Centre for Credible AI, Warsaw University of Technology · Adam Mickiewicz University Poznan · Institute of Fundamental Technological Research, Polish Academy of Sciences

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

    Sep 12, 2026Aleksandra Urman, Elsa Lichtenegger, Salima Jaoua +7Stereotype MitigationText Generation

    University of Zurich · University of Helsinki · ETH Zurich +1

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

    Sep 11, 2026Kateryna Karpo, Artem ChernodubGrammatical Error CorrectionCorrection

    Ukrainian Catholic University · YouScan · Zendesk

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

    Sep 9, 2026Junran Wang, Zehao Jin, Tianyu Luan +3Text-To-Image Diffusion ModelsTransformer Architectures

    Georgia Institute of technology · South China University of Technology

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

    Sep 9, 2026Ibrohimjon Muminov, Jihie KimOpen-Vocabulary Object DetectionObject Detection

    Dongguk University, Seoul, South Korea · Department of Computer Science and AI, Dongguk University, Seoul, South Korea

  40. 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 +1Cross-ViewVideo Diffusion Models

    College of Computer Science and Software Engineering, Shenzhen University, China

  41. LeCor: Learning to Be Corrected by Meta-Learned Test-Time Training for Interactive 3D Lung-Tumour Segmentation

    Sep 8, 2026Yi Luo, Yike Guo, Wenxuan Li +3RadiotherapyTest-Time Training

    Department of Biomedical Engineering, Johns Hopkins University · Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University · Department of Computer Science, Johns Hopkins University +1

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

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

    Xidian University Xi’an, China

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

    Sep 8, 2026Mehdy Sedaghat PayamLiteraturePrompt Engineering

    Independent Scholar

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

    Sep 8, 2026Jaewon Chu, Jinwoo Seo, Jaewon Cho +4Process-Level SupervisionPrompt Optimization

    Korea University · KAIST · Meta AI +1

  45. 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

    Technische Universität Braunschweig, Institute for Communications Technology

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

    Sep 4, 2026Cen Mia Zhao, Haibo Ruan, Wenjie Chen +3Large Language Model AgentsPrompt Engineering

    Airbnb, Inc., USA

  47. The Dice Roll Method: A Standardized Protocol for Repeated-Query Auditing of Large Language Model Brand Recommendations

    Sep 3, 2026Dmitrij ŻatuchinModel AuditingEffect Sizes

    Department of Information Technologies, Estonian Entrepreneurship University of Applied Sciences (EUAS), Tallinn, Estonia. · Rankfor.AI, Tallinn, Estonia.

  48. Extracting Forgotten Prompts from Targeted Unlearned Models

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

    University of Warwick · University of Cambridge

  49. 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

    Durham University Business School · MBZUAI & Ecole Polytechnique · Ecole Polytechnique +1

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

    Sep 1, 2026Wei Hu, Xiaolong Tu, Dawei Chen +3LLM Inference OptimizationEnergy Consumption

    Georgia State University · Toyota Motor North America

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

    Sep 1, 2026Jidong Yang, Qi Li, Wei Zong +5WatermarksWireless Foundation Models

    Key Laboratory of Computing Power Network and Information Security, Ministry of Education; Shandong Computer Science Center; Shandong Provincial Key Laboratory of Industrial Network and Information System Security; Shandong Fundamental Research Center for Computer Science; Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China · Institute of Cybersecurity and Cryptology (iC2), University of Wollongong, Australia · School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, China

  52. HiveTraceGuard-Pro: A Compact Generative Guardrail for Prompt Injection, Jailbreaks, and Adversarial Obfuscation

    Sep 1, 2026Nikita Oblakov, Sabrina Sadiekh, Evgeniy KokuykinPrompt-Injection DetectorsGuardrail

    HiveTraceLab

  53. Asymmetries in Spontaneous and Instructed Deception

    Aug 31, 2026Josiah LuikhamDeceptionInstruction-Tuned Models

    Independent Researcher

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

    Aug 31, 2026Yunseok Lee, Yunji Kim, Woojin LeeIndirect Prompt InjectionAttack-Success Rate

    Dongguk University-Seoul

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

    Aug 31, 2026Jungwon Choi, Hyeonseo Jang, Kibok Lee +1Soft Prompt TuningCalibrated Uncertainty

    Department of Computer Science and Engineering, Chung-Ang University · Department of Statistics and Data Science, Yonsei University

  56. 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

    Amador Valley High School · Pleasanton, California, USA · Research Spark Hub Inc. +1

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

    Aug 30, 2026Hyeonjik Bae, Minyeol Kim, Susik YoonSoft Prompt TuningAutomatic Prompt Optimization

    Computer Science and Engineering Korea University, Seoul, Korea

  58. A Probe Direction Is a Property of Its Prompt

    Aug 13, 2026Valentin NoëlPrompt EngineeringComparison

    Devoteam

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

    Aug 13, 2026Victoria Basmov, Yoav Goldberg, Reut TsarfatyPrompt EngineeringFrozen Language Model

    Bar-Ilan University · Allen Institute for Artificial Intelligence

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

    Aug 11, 2026Ilias ChalkidisPolitical DiscourseHuman-Written Text

    The National Center for AI in Society (CAISA) University of Copenhagen Denmark