{"total":234,"rows":[{"id":"2303.18223","title":"A Survey of Large Language Models","created":"2023-03-31","cited_by_count":2576,"area":null},{"id":"2309.03409","title":"Large Language Models as Optimizers","created":"2023-09-07","cited_by_count":864,"area":null},{"id":"2310.11324","title":"Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting","created":"2023-10-17","cited_by_count":817,"area":null},{"id":"2305.03495","title":"Automatic Prompt Optimization with \"Gradient Descent\" and Beam Search","created":"2023-05-04","cited_by_count":653,"area":null},{"id":"2305.17333","title":"Fine-Tuning Language Models with Just Forward Passes","created":"2023-05-27","cited_by_count":345,"area":null},{"id":"2302.03668","title":"Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery","created":"2023-02-07","cited_by_count":336,"area":null},{"id":"2406.11695","title":"Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs","created":"2024-06-17","cited_by_count":291,"area":null},{"id":"2310.16427","title":"PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization","created":"2023-10-25","cited_by_count":233,"area":null},{"id":"2212.04037","title":"Demystifying Prompts in Language Models via Perplexity Estimation","created":"2022-12-08","cited_by_count":216,"area":null},{"id":"2309.08532","title":"EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers","created":"2023-09-15","cited_by_count":193,"area":null},{"id":"2212.10375","title":"Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering","created":"2022-12-20","cited_by_count":161,"area":null},{"id":"2305.18703","title":"Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey","created":"2023-05-30","cited_by_count":135,"area":null},{"id":"2208.11625","title":"PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models -- Federated Learning in Age of Foundation Model","created":"2022-08-24","cited_by_count":134,"area":null},{"id":"2401.14446","title":"Black-Box Access is Insufficient for Rigorous AI Audits","created":"2024-01-25","cited_by_count":126,"area":null},{"id":"2305.08844","title":"RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs","created":"2023-05-15","cited_by_count":105,"area":null},{"id":"2302.11520","title":"Guiding Large Language Models via Directional Stimulus Prompting","created":"2023-02-22","cited_by_count":95,"area":null},{"id":"2301.06267","title":"Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models","created":"2023-01-16","cited_by_count":91,"area":null},{"id":"2311.02262","title":"Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs","created":"2023-11-03","cited_by_count":91,"area":null},{"id":"2403.06833","title":"Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?","created":"2024-03-11","cited_by_count":81,"area":null},{"id":"2310.14735","title":"Unleashing the potential of prompt engineering for large language models","created":"2023-10-23","cited_by_count":72,"area":null},{"id":"2303.14773","title":"BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning","created":"2023-03-26","cited_by_count":70,"area":null},{"id":"2306.03082","title":"InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models","created":"2023-06-05","cited_by_count":68,"area":null},{"id":"2301.01821","title":"Parameter-Efficient Fine-Tuning Design Spaces","created":"2023-01-04","cited_by_count":67,"area":null},{"id":"2502.16923","title":"A Systematic Survey of Automatic Prompt Optimization Techniques","created":"2025-02-24","cited_by_count":63,"area":null},{"id":"2410.02185","title":"POSIX: A Prompt Sensitivity Index For Large Language Models","created":"2024-10-03","cited_by_count":59,"area":null},{"id":"2312.03724","title":"DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer","created":"2023-11-27","cited_by_count":57,"area":null},{"id":"2311.05661","title":"Prompt Engineering a Prompt Engineer","created":"2023-11-09","cited_by_count":53,"area":null},{"id":"2211.11890","title":"TEMPERA: Test-Time Prompting via Reinforcement Learning","created":"2022-11-21","cited_by_count":50,"area":null},{"id":"2212.10539","title":"Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too?","created":"2022-12-20","cited_by_count":49,"area":null},{"id":"2309.13205","title":"A Practical Survey on Zero-shot Prompt Design for In-context Learning","created":"2023-09-22","cited_by_count":49,"area":null},{"id":"2404.01077","title":"Efficient Prompting Methods for Large Language Models: A Survey","created":"2024-04-01","cited_by_count":47,"area":null},{"id":"2210.03078","title":"Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering","created":"2022-10-06","cited_by_count":43,"area":null},{"id":"2310.04444","title":"What's the Magic Word? A Control Theory of LLM Prompting","created":"2023-10-02","cited_by_count":41,"area":null},{"id":"2310.00152","title":"Learning to Rewrite Prompts for Personalized Text Generation","created":"2023-09-29","cited_by_count":40,"area":null},{"id":"2403.17661","title":"Language Models for Text Classification: Is In-Context Learning Enough?","created":"2024-03-26","cited_by_count":40,"area":null},{"id":"2412.12472","title":"Knowledge Boundary of Large Language Models: A Survey","created":"2024-12-17","cited_by_count":40,"area":null},{"id":"2402.02101","title":"Are Large Language Models Good Prompt Optimizers?","created":"2024-02-03","cited_by_count":37,"area":null},{"id":"2402.09723","title":"Efficient Prompt Optimization Through the Lens of Best Arm Identification","created":"2024-02-15","cited_by_count":37,"area":null},{"id":"2405.16122","title":"Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars","created":"2024-05-25","cited_by_count":37,"area":null},{"id":"2212.09257","title":"PromptBoosting: Black-Box Text Classification with Ten Forward Passes","created":"2022-12-19","cited_by_count":36,"area":null},{"id":"2405.18369","title":"PromptWizard: Task-Aware Prompt Optimization Framework","created":"2024-05-28","cited_by_count":36,"area":null},{"id":"2402.17564","title":"Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers","created":"2024-02-27","cited_by_count":35,"area":null},{"id":"2403.20014","title":"PURPLE: Making a Large Language Model a Better SQL Writer","created":"2024-03-29","cited_by_count":34,"area":null},{"id":"2407.07064","title":"Prompting Techniques for Secure Code Generation: A Systematic Investigation","created":"2024-07-09","cited_by_count":34,"area":null},{"id":"2312.02614","title":"Prompt Optimization via Adversarial In-Context Learning","created":"2023-12-05","cited_by_count":33,"area":null},{"id":"2306.12509","title":"Joint Prompt Optimization of Stacked LLMs using Variational Inference","created":"2023-06-21","cited_by_count":32,"area":null},{"id":"2406.18678","title":"Few-shot Personalization of LLMs with Mis-aligned Responses","created":"2024-06-26","cited_by_count":32,"area":null},{"id":"2303.10475","title":"Large Language Model Instruction Following: A Survey of Progresses and Challenges","created":"2023-03-18","cited_by_count":31,"area":null},{"id":"2306.06815","title":"TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models","created":"2023-06-12","cited_by_count":31,"area":null},{"id":"2404.16966","title":"Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks","created":"2024-04-25","cited_by_count":31,"area":null},{"id":"2503.10084","title":"Why Prompt Design Matters and Works: A Complexity Analysis of Prompt Search Space in LLMs","created":"2025-03-13","cited_by_count":31,"area":null},{"id":"2307.07415","title":"AutoHint: Automatic Prompt Optimization with Hint Generation","created":"2023-07-13","cited_by_count":30,"area":null},{"id":"2310.02905","title":"Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers","created":"2023-10-02","cited_by_count":30,"area":null},{"id":"2410.14826","title":"SPRIG: Improving Large Language Model Performance by System Prompt Optimization","created":"2024-10-18","cited_by_count":29,"area":null},{"id":"2310.11053","title":"Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning","created":"2023-10-17","cited_by_count":26,"area":null},{"id":"2402.03244","title":"Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills","created":"2024-02-05","cited_by_count":26,"area":null},{"id":"2212.01354","title":"Designing Ecosystems of Intelligence from First Principles","created":"2022-12-02","cited_by_count":23,"area":null},{"id":"2403.02993","title":"Localized Zeroth-Order Prompt Optimization","created":"2024-03-05","cited_by_count":23,"area":null},{"id":"2310.13127","title":"Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models","created":"2023-10-19","cited_by_count":21,"area":null},{"id":"2407.04118","title":"MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization","created":"2024-07-04","cited_by_count":21,"area":null},{"id":"2409.08466","title":"Explaining Datasets in Words: Statistical Models with Natural Language Parameters","created":"2024-09-13","cited_by_count":21,"area":null},{"id":"2305.13729","title":"Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker","created":"2023-05-23","cited_by_count":20,"area":null},{"id":"2308.10088","title":"PACE: Improving Prompt with Actor-Critic Editing for Large Language Model","created":"2023-08-19","cited_by_count":20,"area":null},{"id":"2305.09648","title":"Prompt-Tuning Decision Transformer with Preference Ranking","created":"2023-05-16","cited_by_count":19,"area":null},{"id":"2305.13954","title":"Robust Prompt Optimization for Large Language Models Against Distribution Shifts","created":"2023-05-23","cited_by_count":19,"area":null},{"id":"2406.10504","title":"Task Facet Learning: A Structured Approach to Prompt Optimization","created":"2024-06-15","cited_by_count":19,"area":null},{"id":"2302.05619","title":"Evaluating the Robustness of Discrete Prompts","created":"2023-02-11","cited_by_count":18,"area":null},{"id":"2411.07446","title":"Efficient and Accurate Prompt Optimization: the Benefit of Memory in Exemplar-Guided Reflection","created":"2024-11-12","cited_by_count":18,"area":null},{"id":"2502.11027","title":"On the Effect of Sampling Diversity in Scaling LLM Inference","created":"2025-02-16","cited_by_count":18,"area":null},{"id":"2310.12774","title":"Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning","created":"2023-10-19","cited_by_count":17,"area":null},{"id":"2406.04344","title":"Verbalized Machine Learning: Revisiting Machine Learning with Language Models","created":"2024-06-06","cited_by_count":17,"area":null},{"id":"2410.08601","title":"StraGo: Harnessing Strategic Guidance for Prompt Optimization","created":"2024-10-11","cited_by_count":17,"area":null},{"id":"2308.03028","title":"Pre-Trained Large Language Models for Industrial Control","created":"2023-08-06","cited_by_count":16,"area":null},{"id":"2310.14201","title":"Prompt Engineering Through the Lens of Optimal Control","created":"2023-10-22","cited_by_count":16,"area":null},{"id":"2310.01260","title":"SPELL: Semantic Prompt Evolution based on a LLM","created":"2023-10-02","cited_by_count":15,"area":null},{"id":"2402.01874","title":"The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models","created":"2024-02-02","cited_by_count":15,"area":null},{"id":"2502.17100","title":"Generative Models in Decision Making: A Survey","created":"2025-02-24","cited_by_count":15,"area":null},{"id":"2305.14926","title":"Universal Self-Adaptive Prompting","created":"2023-05-24","cited_by_count":14,"area":null},{"id":"2311.10117","title":"Automatic Engineering of Long Prompts","created":"2023-11-16","cited_by_count":14,"area":null},{"id":"2410.07652","title":"StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models","created":"2024-10-10","cited_by_count":14,"area":null},{"id":"2304.08103","title":"Low-code LLM: Graphical User Interface over Large Language Models","created":"2023-04-17","cited_by_count":13,"area":null},{"id":"2305.14877","title":"Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis","created":"2023-05-24","cited_by_count":13,"area":null},{"id":"2307.00259","title":"InstructEval: Systematic Evaluation of Instruction Selection Methods","created":"2023-07-01","cited_by_count":13,"area":null},{"id":"2402.03099","title":"Intent-based Prompt Calibration: Enhancing prompt optimization with synthetic boundary cases","created":"2024-02-05","cited_by_count":13,"area":null},{"id":"2310.03123","title":"Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models","created":"2023-10-04","cited_by_count":12,"area":null},{"id":"2310.17050","title":"Exploring Question Decomposition for Zero-Shot VQA","created":"2023-10-25","cited_by_count":12,"area":null},{"id":"2305.17006","title":"Zero-shot Visual Question Answering with Language Model Feedback","created":"2023-05-26","cited_by_count":11,"area":null},{"id":"2308.14328","title":"Reinforcement Learning for Generative AI: A Survey","created":"2023-08-28","cited_by_count":11,"area":null},{"id":"2403.08043","title":"Authorship Style Transfer with Policy Optimization","created":"2024-03-12","cited_by_count":11,"area":null},{"id":"2309.16573","title":"Language Models as a Service: Overview of a New Paradigm and its Challenges","created":"2023-09-28","cited_by_count":10,"area":null},{"id":"2403.16038","title":"Monotonic Paraphrasing Improves Generalization of Language Model Prompting","created":"2024-03-24","cited_by_count":10,"area":null},{"id":"2409.11026","title":"Prompt Obfuscation for Large Language Models","created":"2024-09-17","cited_by_count":10,"area":null},{"id":"2505.13546","title":"Prompt Stability Matters: Evaluating and Optimizing Auto-Generated Prompt in General-Purpose Systems","created":"2025-05-19","cited_by_count":10,"area":null},{"id":"2508.02180","title":"Test-Time Model Adaptation for Quantized Neural Networks","created":"2025-08-04","cited_by_count":10,"area":null},{"id":"2307.11922","title":"Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors","created":"2023-07-21","cited_by_count":9,"area":null},{"id":"2312.03740","title":"A Survey on Prompting Techniques in LLMs","created":"2023-11-28","cited_by_count":9,"area":null},{"id":"2404.02717","title":"Automatic Prompt Selection for Large Language Models","created":"2024-04-03","cited_by_count":9,"area":null},{"id":"2410.09652","title":"Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution","created":"2024-10-12","cited_by_count":9,"area":null},{"id":"2410.19499","title":"Introducing MAPO: Momentum-Aided Gradient Descent Prompt Optimization","created":"2024-10-25","cited_by_count":9,"area":null},{"id":"2410.20749","title":"Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs","created":"2024-10-28","cited_by_count":9,"area":null}],"next_cursor":"100"}