LLM Prompting

LLM: Large Language Model

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22 papers in the last four weeks, up 22% on the four weeks before. 0.2% of all new papers.

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  1. Hints Help But Do They Teach? Evaluating Skills Transfer in Code Generation

    Sep 1, 2026Will BadrLanguage Model Generation EvaluationLLM Prompting

  2. LLM-as-a-Demographic: Whom Sociodemographic Prompting Helps, and Whom It Hurts

    Aug 31, 2026Daniela Occhipinti, Andrea Piergentili, Marco GueriniLLM-as-a-JudgeLLM Prompting

    Fondazione Bruno Kessler, Via Sommarive 18, Povo, Trento, Italy · Almawave Labs, Via Di Casal Boccone, 188/190, Rome

  3. Personas Differ from Native-Language Generation: Language Pathways Shape LLM Interpersonal Advice

    Aug 31, 2026Jinhee Won, Xinlan Emily HuMultilingual Language ModelsLLM Prompting

    Massachusetts Institute of Technology

  4. On the Prospects of Dynamic LLM Conversations in Software Development

    Aug 31, 2026Annemarie Wittig, Alina Mailach, Janet Siegmund +1LLM PromptingHuman-AI Interaction

    Leipzig, Leipzig University, Leipzig, 04109, Germany · Chemnitz University of Technology, Chemnitz, 09107, Germany · ScaDS.AI Dresden/Leipzig, Leipzig University, Leipzig, 04109, Germany

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

    Aug 30, 2026Rishi Datta, Lavanya PrahalladLLM PromptingCredit Scoring

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

  6. RealSWE: A Compositional Evaluation of Coding Agents under Realistic User Requests

    Aug 28, 2026Gyuhyeong Kim, Hyojung Gwon, Jeonghyeon Kim +2LLM PromptingCoding Agents

    Sungkyunkwan University

  7. The Value of a Prompt: An LLM-Relative Kolmogorov-Complexity Approach

    Aug 17, 2026Rafael PassLLM Prompting

    Cornell Tech, Technion, TAU

  8. Self-Referential Induction Increases Response Instability Relative to Unresolvable and Verifiable Questions in Large Language Models

    Aug 13, 2026Paras Balani, Subhrakanta PandaLLM PromptingLLM Reliability

    Department of Mathematics and Department of Computer Science, Birla Institute of Technology and Science, Pilani, Hyderabad Campus, Jawahar Nagar, Kapra Mandal, Medchal District, Telangana 500078, India · Department of Computer Science, Birla Institute of Technology and Science, Pilani, Hyderabad Campus, Jawahar Nagar, Kapra Mandal, Medchal District, Telangana 500078, India

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

    Aug 13, 2026Victoria Basmov, Yoav Goldberg, Reut TsarfatyLLM Prompting

    Bar-Ilan University · Allen Institute for Artificial Intelligence

  10. Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation

    Aug 11, 2026Alex Deaconu, Anubhav Gupta, Manaal Basha +2LLM PromptingFraming Effects in Language Models

    Alex Deaconu and Anubhav Gupta shared first authorship.

  11. Why Does CLAUDE.md Keep Growing? Catastrophic Remembering in Agentic Coding

    Aug 11, 2026Kushal ChakrabartiLLM PromptingAgentic Code Generation

    South Park Commons

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

    Aug 11, 2026Ilias ChalkidisLLM PromptingPolitical Bias in Language Models

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

  13. REAP: Relation-Aware Elicitation and Parsing for Closed-Book Knowledge Base Construction from LLMs

    Aug 11, 2026Thanh-Dan Bui, Thanh-Trung Do, Tuan-Phong NguyenKG ConstructionLLM Prompting

    VNU University of Engineering and Technology, Hanoi, Vietnam

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

    Aug 8, 2026Sin-Ying LinPrompt SensitivityStructured Prompting

    Independent Researcher

  15. Confirming Our Biases? Evaluating the Capabilities, Risks, and Societal Impact of Large Language Models

    Aug 7, 2026Mudar Adas, Polina Tsvilodub, Michael Franke +1Prompt SensitivityLLM Sycophancy

    Neuro-Cognitive Modeling Group, University of Tübingen, Sand 14, 72076 Tübingen, Germany · Department of Linguistics, University of Tübingen, Keplerstraße 2, 72074 Tübingen

  16. Example-Guided Prompting for Document-Level Text Simplification

    Aug 5, 2026Marina Litvak, Ariel Perstin, Ilan Shtilman +1LLM PromptingFew-Shot Prompting

    SCE, Beer Sheva, Israel · ScaDS.AI, TUD · Dresden, Germany

  17. Constraint-First Reasoning: A Training-Free Protocol for Exploiting Answer-Space Constraints in Mathematical Problem Solving

    Aug 5, 2026Hongbo Ma, Bangji Yang, Yunqian Selina Cheng +3LLM PromptingLLM Mathematical Reasoning

    1Tsinghua University · University of Illinois Urbana-Champaign

  18. Equitable System-Prompt Selection via Constrained Mixed-Strategy GroupDRO

    Aug 5, 2026Mengyu Xu, Qiaoxin Yang, Zhihan Liu +4LLM PromptingAlgorithmic Fairness

    1The University of Chicago · 2SynAI Technologies, Inc. · 3Northwestern University +2

  19. Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve

    Aug 4, 2026Denys Pushkin, Albert Q. Jiang, Aryo Lotfi +2LLM PromptingCoT Reasoning

    EPFL · Apple · Mistral AI

  20. Shorter Reasoning, Earlier Answers? An Evaluation of Reasoning Interfaces

    Aug 4, 2026Francesca Carlon, Vincent Ginis, Andres AlgabaLLM EvaluationOverthinking in Language Models

    Data Analytics Lab, Vrije Universiteit Brussel, Pleinlaan 5, 1050 Brussels, Belgium · imec-SMIT, Vrije Universiteit Brussel, Pleinlaan 9, 1050 Brussels, Belgium · School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, USA

  21. FLARE: Few-shot Learning-based Adaptive Reflective Engine

    Aug 3, 2026Dhanasekar Sundararaman, Bharat Gandhi, Aashna Garg +1LLM PromptingLarge Language Model-Guided Optimization

    Microsoft Redmond, WA, USA

  22. PICTURE: Enhancing Theory-of-Mind in Large Language Models by Revealing, Not Hiding, Characters' Lack of Knowledge

    Aug 3, 2026Eojin Jeon, SangKeun LeeTheory of MindLLM Prompting

    Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea · Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea

  23. 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 +1Multi-Agent LLM SystemsStructured Prompting

    Department of Mechanical Engineering, Indian Institute of Science (IISc), Bangalore, India · Department of Design and Manufacturing, Indian Institute of Science (IISc), Bangalore, India

  24. DE-NER : Zero-shot Named Entity Recognition via Dialogue Elicitation of Large Language Models

    Aug 1, 2026Xuankang Zhang, Jiangming LiuNamed Entity RecognitionZero-Shot Learning

    Yunnan University

  25. Distilling Reasoning Traces into Advisory Prompts for Software Engineering Tasks

    Aug 1, 2026Faizan Faisal, Prem Devanbu, Toufique AhmedReasoning DistillationLLM Prompting

    University of California, Davis · IBM

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

    Jul 31, 2026Jan Marius Stürmer, Jascha Knack, Tobias Koch +1LLM PromptingCode Generation Evaluation

    German Aerospace Centre (DLR), Institute for the Protection of Terrestrial Infrastructures, Rathausallee 12, 53757, Sankt Augustin, Germany · Algorithms for Computer Vision, Imaging and Data Analysis, Technische Hochschule Würzburg-Schweinfurt, Ignaz-Schön-Straße 11, Schweinfurt, 97421, Germany

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

    Jul 31, 2026Pirzada Suhail, Nagasai Saketh Naidu, Atanu R Sinha +1LLM PromptingNext-Token Prediction

    IIT Bombay · Adobe Research

  28. Instruction Stacking Collapse: A Benchmark and the Capability-Dependent Value of Prompt Compilation

    Jul 31, 2026Atul Anand, Sourav ChattarajLLM EvaluationLLM Prompting

  29. From Textual Requirements to Microservice Architectures - A Comprehensive Evaluation of LLM-Based Design Synthesis

    Jul 30, 2026Danyllo Albuquerque, José Renan, Guillermo Rodríguez +6LLM PromptingMicroservice Architecture

    VIRTUS/UFCG Federal University of Campina Grande (UFCG), Paraiba Brazil · Federal University of Campina Grande (UFCG), Paraiba Brazil · Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional del Centro de la Provincia de Buenos Aires (UNICEN), Argentina +2

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

    Jul 30, 2026Sandeco MacedoLLM PromptingPrompt Engineering

    Federal Institute of Goiás