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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From Prompts to Trees: Effective LLM-Guided Tree Generation for Few-Shot Tabular Classification
Oct 7, 2026Yue Qiu, Zekang Du, Yiqun Diao +2Tabular Classification Decision Tree Learning
School of Computer Science and Technology, Huazhong University of Science and Technology · School of Computing, National University of Singapore
Base Models Can Reason By Taking a Cue From Training Data
Oct 5, 2026Sophie L. Wang, Amil Dravid, Rulin Shao +3LLM Prompting RL for Language Model Reasoning
MIT · UC Berkeley · University of Washington +1
Errors of LLM-Assisted Literature Retrieval in Environmental Science: A Comparison Study of Abstract versus Full-text Based Prompts
Oct 5, 2026Yanjun Chen, Yongfeng Zhang, Lanjing ZhangLLM Prompting LLM Reliability
Department of Chemical Biology, Ernest Mario School of Pharmacy, Rutgers University, Piscataway, NJ, USA. · East Brunswick High School, East Brunswick, NJ, USA. · Department of Computer Science, Rutgers University, Piscataway, NJ, USA. +3
OPSRD: On-Policy Self-Role Distillation
Sep 30, 2026Weijie Ren, Yanwen Zhang, Hao Li +3LLM Prompting Self-Distillation
Zhejiang University · University of Electronic Science and Technology of China · University of Science and Technology of China
Effective Dense Retrieval using Only In-Context Examples
Sep 29, 2026Nour Jedidi, Abdul Basit Ali, Hang Li +1LLM Prompting Text Embedding Models
University of Waterloo · The University of Queensland
MERGE: Multi-LLM Ensemble for Retrieval via Generative Enrichment
Sep 29, 2026Tzu-I Ho, Yung-Yu Shih, Shang-Yu Su +2LLM Prompting Automatic Prompt Optimization
University of Waterloo · National Taiwan University · Rakuten Group, Inc. +1
Dating the Model: Hidden Dates in System Prompts Affect LLM Evaluation
Sep 29, 2026Mario Sanz-Guerrero, Minh Duc Bui, Manuel Mager +1LLM Evaluation Language Model Generation Evaluation
Johannes Gutenberg University Mainz, Germany · Universidad Iberoamericana, Mexico · University of Colorado Boulder, USA
How Much Prompt Is Enough? A Blackbox Minimization of Few-Shots in LLMs
Sep 28, 2026Ali Alfageeh, Rahul Gopinath, Amin AlipourLLM Prompting Few-Shot Prompting
University of Houston · The University of Sydney
SCBO: Semantically Coherent Batching and Ordering for LLM-Based Social Surveys
Sep 28, 2026Yuanzi Li, Lingjie Wang, Zihang Tian +2LLM Inference Efficiency LLM Prompting
Renmin University of China
The Effects of Incremental Instruction Delivery on Language-Model Creative Writing
Sep 27, 2026Anshuman Singh, Abrar Eyasir, Haseeb Yaqoob +1LLM Evaluation LLM Prompting
SGT UNIVERSITY · CSE, University of Dhaka · NED University of Engineering and Technology +1
TTLab at StanceEval-2026: A Cloze-Style Prompting Approach for Arabic-Language Stance Detection (CLASP-Ar)
Sep 24, 2026Bhuvanesh Verma, Ali Abusaleh, Alexander MehlerStance Detection Arabic NLP
Text Technology Lab (TTLab), Goethe University Frankfurt
Likelihood Ranking doesn't Scale Like Prompting in LLMs
Sep 24, 2026Alessandro Bondielli, Lucia Passaro, Davide Bacciu +1LLM Evaluation Language Model Generation Evaluation
CoLingLab, Department of Philology, Literature and Linguistics, University of Pisa · Department of Computer Science, University of Pisa
Beyond Poetry: Can Large Language Models Generate Classical Arabic Maqamat?
Sep 23, 2026AbdulRahman A. Morsy, Aya ZiriklyLLM Evaluation Arabic NLP
Department of Computer Science, School of Engineering and Applied Sciences, George Washington University, Washington DC, United States · Department of Computer Science, School of Engineering and Applied Sciences, George Washington University, Washington, DC, United States · Center for Speech and Language Processing, Whiting School of Engineering, Johns Hopkins University, Baltimore MD, United States +1
When Should LLMs Abstain? Chain-of-Self-Questioning for Selective Risk Control
Sep 15, 2026Ali ŞenolSelective Prediction LLM Prompting
Department of Computer Engineering, Tarsus University, Tarsus, Türkiye
CWM: Controllable White-Box Meta-Prompting for Adaptive Retrieval-Augmented Generation and Reasoning Ability
Sep 14, 2026Keuntae Kim, Eunhye Jeong, Yong Suk ChoiLLM Prompting Adaptive RAG
Department of Computer Science, Hanyang University, Seoul, Korea · Department of Artificial Intelligence, Hanyang University, Seoul, Korea
Improving Mathematical Reasoning Capabilities in Large Language Models via Reasoning Process Error Classification
Sep 14, 2026Runa Yoshida, Kosuke Nishida, Kyosuke NishidaLLM Prompting LLM Mathematical Reasoning
Human Informatics Labs., NTT, Inc.
Another Blueprint In The Wall: How to Ask Frontier AI Like a Kid?
Sep 13, 2026Afshin KhadangiPrompt Sensitivity LLM Prompting
University of Luxembourg
Larger Context Window, Fewer Overcorrections: Optimizing Prompts and Batching for Minimal-Edit Grammatical Error Correction
Sep 11, 2026Kateryna Karpo, Artem ChernodubLLM Prompting Large Language Model-Guided Optimization
Ukrainian Catholic University · YouScan · Zendesk
Talking to Itself While Coding: What Makes Comments Help Code Generation?
Sep 10, 2026Dangfeng Pan, Zhensu Sun, Cenyuan Zhang +2LLM Prompting Code Generation
Monash University, Australia · Singapore Management University, Singapore
DiSCo: A Distribution-First Steering and Cultural Prior Evaluation Framework for Measuring Cultural Preference Bias in LLMs
Sep 9, 2026Bhuvan Arora, Devesh Saraogi, Sravya Varada +1LLM Prompting Cultural Bias in Language Models
BITS Pilani, Pilani, India.
The Answer Path and the Grounding Instruction in LLM Question Answering over Knowledge Graphs
Sep 9, 2026Arquimedes CanedoMulti-Hop QA LLM Grounding
Siemens Digital Industries Software Princeton, NJ, USA
Context operations to architecture modelling output from large language models and evaluation criteria for their use in systems engineering design
Sep 9, 2026Vinicius Kaster Marini, Petter KrusSoftware Engineering Model-Based Systems Engineering
Department of Mechanical Engineering Centre of Technology Federal University of Santa Maria Santa Maria/RS, BR 97105-900, Brazil · Section for Fluid Power and Mechatronics Department of Management and Engineering Linköping University SE 581 83, Linköping, Sweden
It's All in the Way You Say It: The Role of Information Representation in LLM-Based Glycemic-Event Prediction
Sep 8, 2026Andrea Apicella, Pasquale Arpaia, Matteo Orefice +2LLM Prompting Blood Glucose Forecasting
Department of Information Engineering, Electrical Engineering, and Applied Mathematics (DIEM), University of Salerno, Fisciano (SA), Italy · Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy
A Tool-Augmented, GPT-4 Chatbot for Real-Time Repository Data Analysis
Sep 7, 2026Muhammad Jawad Chowdhury, Md. Sakib KhanSoftware Engineering LLM Prompting
Computer Science and Engineering Islamic University of Technology Dhaka, Bangladesh · Computer Science and Engineering University of Dhaka Dhaka, Bangladesh
We're Cooked! - Probing LLM Political Alignment Via Conflict-Framed Recipe Translation
Sep 7, 2026Svetlana Gorovaia, Angelica Henestrosa, Ivan P. YamshchikovCross-Lingual Reasoning in Language Models LLM Prompting
CAIRO, Technical University of Applied Sciences Würzburg-Schweinfurt Würzburg, Germany
Investigating the Ability of Large Language Models to Analyze Recipes for Diabetes
Sep 3, 2026Revathy Venkataramanan, Aditya Luthra, Venkatesan Nadimuthu +1LLM Evaluation Healthcare
AI Institute, University of South Carolina 1112 Greene Street, Columbia, SC 29201 USA
Analysis of Prompt Engineering for Drug Toxicity Prediction
Sep 3, 2026Mia MacGregor, Aakash Welgamage Don, Mark BartlettPrompt Sensitivity LLM Prompting
School of Computing, Engineering & Technology, Robert Gordon University, Aberdeen, UK. · School of Pharmacy, Applied Sciences & Public Health, Robert Gordon University, Aberdeen, UK.
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 GoelLLM Personalization Intelligent Tutoring Systems
Georgia Institute of Technology, Atlanta GA 30332, USA
How Do Prompt Variations Affect Energy Consumption in On-Device LLMs?
Sep 1, 2026Wei Hu, Xiaolong Tu, Dawei Chen +3LLM Inference Efficiency On-Device Language Model Inference
Georgia State University · Toyota Motor North America
From Confusion to Clarity: Confusion-Aware Retrieval and Knowledge Injection for Text Classification
Sep 1, 2026Manish Gupta, Chaitanya Giri, Jayasimha TalurZero-Shot Text Classification Retrieval-Augmented Classification
Amazon

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From Prompts to Trees: Effective LLM-Guided Tree Generation for Few-Shot Tabular Classification

Yue Qiu, Zekang Du, Yiqun Diao, Bingsheng He+1

School of Computer Science and Technology, Huazhong University of Science and Technology · School of Computing, National University of Singapore

Tabular Classification Decision Tree Learning LLM Prompting Knowledge Distillation

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While Large Language Models (LLMs) possess rich world knowledge and impressive generalization capabilities, their direct application to tabular data classification is hindered by high inference costs and limited interpretability. In contrast, decision trees are fast and transparent but often underperform in low-data regimes. In this work, we propose a novel framework that bridges these paradigms by distilling LLM knowledge into interpretable decision trees under a few-shot learning setting. Instead of directly prompting the LLM to generate full trees, which is often unstable and inefficient, we develop a three-stage paradigm that prompts the LLM to generate rules and organize the rules into a tree. Experiments on multiple real-world tabular datasets demonstrate that our method achieves superior accuracy and interpretability with significantly lower prompting overhead compared to existing baselines.

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