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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Contexting as Recommendation: Evolutionary Collaborative Filtering for Context Engineering
May 15, 2026Jiachen Zhu, Zhuoying Ou, Congmin Zheng +9LLM Prompting LLM Routing
Shanghai Jiao Tong Univ. · Univ. College London · Carnegie Mellon Univ. +1
PRISM: Prompt Reliability via Iterative Simulation and Monitoring for Enterprise Conversational AI
May 15, 2026Keshava Chaitanya, Jahnavi GundakaramLLM Prompting LLM Agent Evaluation
Quantifying and Mitigating Premature Closure in Frontier LLMs
May 14, 2026Rebecca Handler, Suhana Bedi, Nigam ShahHealthcare LLM Prompting
Department of Medicine, Stanford University · Department of Biomedical Data Science, Stanford University
AI-assisted cultural heritage dissemination: Comparing NMT and glossary-augmented LLM translation in rock art documents
May 14, 2026Vicent Briva-Iglesias, María Ferre-FernándezLLM Prompting Cultural Heritage
SALIS, CTTS, ADAPT Centre · Dublin City University · Universidad de Almer´ıa
Teaching Large Language Models When Not to Know: Learning Temporal Critique for Ex-Ante Reasoning
May 14, 2026Chenlu Ding, Jiancan Wu, Yanchen Luo +3LLM Prompting LLM Fine-Tuning
University of Science and Technology of China · The Hong Kong Polytechnic University · University of Notre Dame
Prompt Segmentation and Annotation Optimisation: Controlling LLM Behaviour via Optimised Segment-Level Annotations
May 14, 2026Devika Prasad, Luke Gerschwitz, Tong Li +5LLM Prompting Automatic Prompt Optimization
Commonwealth Bank of Australia
Efficient Multi-objective Prompt Optimization via Pure-exploration Bandits
May 14, 2026Donghao Li, Chengshuai Shi, Weijuan Ou +2Multi-Armed Bandits LLM Prompting
University of Virginia, Charlottesville, VA 22904, USA · Princeton University, Princeton, NJ 08544, USA · Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
Prompting Policies for Multi-step Reasoning and Tool-Use in Black-box LLMs with Iterative Distillation of Experience
May 14, 2026Krishna Sayana, Ketan Todi, Ambarish JashRL for Language Models LLM Prompting
Google Research, Mountain View, CA
LLM-Based Robustness Testing of Microservice Applications: An Empirical Study
May 13, 2026Hrushitha Goud Tigulla, Marco VieiraSoftware Engineering Automated Software Testing
College of Computing and Informatics University of North Carolina at Charlotte Charlotte, USA
Derivation Prompting: A Logic-Based Method for Improving Retrieval-Augmented Generation
May 13, 2026Ignacio Sastre, Guillermo Moncecchi, Aiala RosáLogical Reasoning Retrieval-Augmented Generation
Instituto de Computación, Facultad de Ingeniería, Universidad de la República Montevideo, Uruguay
Fine-tuning with Hierarchical Prompting for Robust Propaganda Classification Across Annotation Schemas
May 13, 2026Lukas Stähelin, Veronika Solopova, Max Upravitelev +6LLM Prompting LLM Fine-Tuning
Technische Universität Berlin, QU Lab, XplaiNLP Group, Berlin, Germany · German Research Center for Artificial Intelligence (DFKI), Berlin, Germany · Centre for European Research in Trusted AI (CERTAIN)
The Readability Spectrum: Patterns, Issues, and Prompt Effects in LLM-Generated Code
May 13, 2026Hengzhi Ye, Fengyuan Ran, Weiwei Xu +1LLM Prompting Code Generation Evaluation
Peking university · Beijing, Beijing, China · Wuhan University +1
Context Training with Active Information Seeking
May 13, 2026Zeyu Huang, Adhiguna Kuncoro, Qixuan Feng +4Knowledge Augmentation for Language Models LLM Prompting
The University of Edinburgh · Google DeepMind
When Do LLMs Generate Realistic Social Networks? A Multi-Dimensional Study of Culture, Language, Scale, and Method
May 13, 2026Sai Hemanth Kilaru, Sriram Theerdh Manikyala, Raghav Upadhyay +3LLM Prompting Social Bias in Language Models
University of Arizona. Tucson, AZ 85721
Just Ask for a Table: A Thirty-Token User Prompt Defeats Sponsored Recommendations in Twelve LLMs
May 12, 2026Andreas Maier, Jeta Sopa, Gozde Gul Sahin +2LLM Auditing LLM Prompting
Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
On the Limitations of Large Language Models for Conceptual Database Modeling
May 12, 2026Arthur F. Siqueira, Carlos D. S. Nogueira, Eduarda Farias +2LLM Evaluation LLM Prompting
1Systems and Computing Department Federal University of Campina Grande (UFCG)2026 Campina Grande – PB – Brazil
From Noise to Diversity: Random Embedding Injection in LLM Reasoning
May 12, 2026Heejun Kim, Seungpil Lee, Jewon Yeom +5LLM Prompting LLM Reasoning
1Gwangju Institute of Science and Technology · 3Microsoft Research · 2Seoul National University
Instruct-ICL: Instruction-Guided In-Context Learning for Post-Disaster Damage Assessment
May 12, 2026Armin Zarbaft, Ehsan Karimi, Nhut Le +1Disaster Damage Assessment LLM Prompting
Lehigh Uniersity Pennsylvania, USA
RETUYT-INCO at BEA 2026 Shared Task 2: Meta-prompting in Rubric-based Scoring for German
May 11, 2026Ignacio Sastre, Ignacio Remersaro, Facundo Díaz +4LLM Prompting Rubric-Based Evaluation
Instituto de Computación, Facultad de Ingeniería, Universidad de la República Montevideo, Uruguay
LLARS: Enabling Domain Expert & Developer Collaboration for LLM Prompting, Generation and Evaluation
May 11, 2026Philipp Steigerwald, Mara Stieler, Jennifer Burghardt +2Language Model Generation Evaluation LLM Prompting
Technische Hochschule Nürnberg Georg Simon Ohm, Nürnberg, Germany · Faculty of Computer Science, Centre for Artificial Intelligence (KIZ) · Faculty of Social Sciences, Institute for E-Counselling
Can Language Models Analyze Data? Evaluating Large Language Models for Question Answering over Datasets
May 11, 2026Andreas Xenofontos, Pavlos FafaliosTable QA LLM Evaluation
School of Production Engineering and Management, Technical University of Crete, Greece · Institute of Computer Science, Foundation for Research and Technology - Hellas, Greece.
Route Before Retrieve: Activating Latent Routing Abilities of LLMs for RAG vs. Long-Context Selection
May 11, 2026Yiwen Chen, Kuan Li, Fuzhen Zhuang +6LLM Prompting Long-Context Modeling
Beihang University · HKUST · Alibaba Group +1
Shaping Schema via Language Representation as the Next Frontier for LLM Intelligence Expanding
May 10, 2026Zhiqin Yang, Yuhan Liu, Jingwen Fu +4LLM Prompting
1The Hong Kong University of Science and Technology · MiLM Plus, Xiaomi Inc · 3Zhongguancun Academy +4
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning
May 8, 2026Karolina Źróbek, Tessa Pulli, Paweł Gajewski +2Large Language Model-Based Robot Planning LLM Prompting
IBM, Krakow, Poland · TU Wien, Vienna, Austria · Jagiellonian University, Krakow, Poland +1
Prompt Engineering Strategies for LLM-based Qualitative Coding of Psychological Safety in Software Engineering Communities: A Controlled Empirical Study
May 8, 2026Moaath Alshaikh, Tasneem Alshaher, Ricardo Vieira +7Software Engineering LLM Evaluation
Federal University of Bahia · State University of Feira de Santana · Federal University of Sergipe +1
Divination by Prompt: LLM-Mediated Xuanxue on Chinese Social Media
May 8, 2026Chuang Li, Lixuan Wang, Yuqi Chen +1LLM Prompting
Department of Sociology, University of Macau, Taipa, Macau SAR, China · Institute for the Humanities and Social Sciences, University of Hong Kong, Hong Kong SAR, China
ReasonLab: A Controlled and Auditable Evaluation of Prompting Techniques for Multiple-Choice QA
May 7, 2026Inder Preet, Shuxin Lin, Dhaval PatelLLM Evaluation Language Model Generation Evaluation
IBM, Dublin · IBM, New York
Examining Human-Like Behaviors in LLMs: A Multi-Dimensional Analysis of Model Behaviors, User Factors, and System Prompts
May 7, 2026Sunnie S. Y. Kim, Margit Bowler, Leon A GatysLLM Evaluation LLM Prompting
Apple
Post-Reasoning: Improving the Performance of Non-Thinking Models at No Cost
May 7, 2026Richmond Sin Jing Xuan, Rishabh Bhardwaj, Soujanya PoriaLLM Prompting Language Model Post-Training
Nanyang Technological University
Prober.ai: Gated Inquiry-Based Feedback via LLM-Constrained Personas for Argumentative Writing Development
May 7, 2026Ran Bi, Shiyao Wei, Yuanyiyi ZhouLLM Prompting Generative AI in Education
1Florida State University · 2New York University

May 15, 2026, cs.CLJ/K move · Enter open · S save

Contexting as Recommendation: Evolutionary Collaborative Filtering for Context Engineering

Jiachen Zhu, Zhuoying Ou, Congmin Zheng, Yuxiang Chen+8

Shanghai Jiao Tong Univ. · Univ. College London · Carnegie Mellon Univ.+1

LLM Prompting LLM Routing LLM Context Management

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Large Language Models (LLMs) are highly sensitive to their input contexts, motivating the development of automated context engineering. However, existing methods predominantly treat this as a global search problem, seeking a single context strategy that maximizes average performance across a dataset. This restrictive assumption overlooks the fact that different inputs often require distinct guidance, leaving substantial instance-level performance gains untapped. In this paper, we propose a paradigm shift by formulating context engineering as a recommendation problem. We introduce \textbf{Neural Collaborative Context Engineering (NCCE)}, a framework that transitions optimization from a static global search to dynamic, instance-wise routing. NCCE first bootstraps a diverse catalog of anchor contexts and then employs a novel \textbf{Context-CF Co-Evolution} mechanism. This stage establishes a synergistic feedback loop: a lightweight Neural Collaborative Filtering (NCF) model learns instance-context preferences to guide the generation of specialized context variants, while the newly evaluated contexts continuously refine the NCF model's understanding of latent preferences. At inference time, the trained NCF model acts as a context router, dynamically assigning the most suitable context strategy to each unseen instance. Theoretical Proofs and comprehensive experiments demonstrate that by matching individual inputs with their optimal contexts, NCCE significantly improves task accuracy, highlighting the critical importance of personalization in LLM context engineering.

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