Imagen de Portada

Effects of Prompt Length on Domain-specific Tasks for Large Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Liu, Qibang, Wang, Wenzhe, Willard, Jeffrey
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Artificial Intelligence Emerging Technologies Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Effect of Selection Format on LLM Performance
por: Han, Yuchen, et al.
Publicado: (2025)

InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes under Herd Behavior
por: Wang, Huisheng, et al.
Publicado: (2025)

Automatic Generation of Behavioral Test Cases For Natural Language Processing Using Clustering and Prompting
por: Li, Ying, et al.
Publicado: (2024)

Embedding-Aligned Language Models
por: Tennenholtz, Guy, et al.
Publicado: (2024)

Toward Large Language Models as a Therapeutic Tool: Comparing Prompting Techniques to Improve GPT-Delivered Problem-Solving Therapy
por: Filienko, Daniil, et al.
Publicado: (2024)

Skill Learning Using Process Mining for Large Language Model Plan Generation
por: Redis, Andrei Cosmin, et al.
Publicado: (2024)

LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models
por: Guo, Shouchang, et al.
Publicado: (2024)

Iterative Prompting with Persuasion Skills in Jailbreaking Large Language Models
por: Ke, Shih-Wen, et al.
Publicado: (2025)

Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data
por: Gerstgrasser, Matthias, et al.
Publicado: (2024)

G-Zero: Self-Play for Open-Ended Generation from Zero Data
por: Huang, Chengsong, et al.
Publicado: (2026)

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach
por: Marozzo, Fabrizio
Publicado: (2025)

Bringing Multi-Modal Multi-Task Federated Foundation Models to Education Domain: Prospects and Challenges
por: Borazjani, Kasra, et al.
Publicado: (2025)

SoK: Prompt Hacking of Large Language Models
por: Rababah, Baha, et al.
Publicado: (2024)

On the Limitations of Compute Thresholds as a Governance Strategy
por: Hooker, Sara
Publicado: (2024)

Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial Optimization
por: Esencan, Mert, et al.
Publicado: (2024)

Artificial Agency and Large Language Models
por: van Lier, Maud, et al.
Publicado: (2024)

Are Large Language Models Reliable Argument Quality Annotators?
por: Mirzakhmedova, Nailia, et al.
Publicado: (2024)

Can Large Language Models Act as Symbolic Reasoners?
por: Sullivan, Rob, et al.
Publicado: (2024)

Evaluating Quantized Large Language Models for Code Generation on Low-Resource Language Benchmarks
por: Nyamsuren, Enkhbold
Publicado: (2024)

Which English Do LLMs Prefer? Triangulating Structural Bias Towards American English in Foundation Models
por: Nayeem, Mir Tafseer, et al.
Publicado: (2026)

CIRCUITSYNTH: Leveraging Large Language Models for Circuit Topology Synthesis
por: Vijayaraghavan, Prashanth, et al.
Publicado: (2024)

LLMR: Real-time Prompting of Interactive Worlds using Large Language Models
por: De La Torre, Fernanda, et al.
Publicado: (2023)

A Novel Nuanced Conversation Evaluation Framework for Large Language Models in Mental Health
por: Marrapese, Alexander, et al.
Publicado: (2024)

The Future of MLLM Prompting is Adaptive: A Comprehensive Experimental Evaluation of Prompt Engineering Methods for Robust Multimodal Performance
por: Mohanty, Anwesha, et al.
Publicado: (2025)

Machine Translation with Large Language Models: Decoder Only vs. Encoder-Decoder
por: M., Abhinav P., et al.
Publicado: (2024)

Agentic AI framework for End-to-End Medical Data Inference
por: Shimgekar, Soorya Ram, et al.
Publicado: (2025)

Large Language models for Time Series Analysis: Techniques, Applications, and Challenges
por: Shi, Feifei, et al.
Publicado: (2025)

Large Language Model for Multi-objective Evolutionary Optimization
por: Liu, Fei, et al.
Publicado: (2023)

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems
por: Moia, Vitor Hugo Galhardo, et al.
Publicado: (2025)

A Survey of Multimodal Retrieval-Augmented Generation
por: Mei, Lang, et al.
Publicado: (2025)

MedCodER: A Generative AI Assistant for Medical Coding
por: Baksi, Krishanu Das, et al.
Publicado: (2024)

A Unified Generative-AI Framework for Smart Energy Infrastructure: Intelligent Gas Distribution, Utility Billing, Carbon Analytics, and Quantum-Inspired Optimisation
por: Manjunath, Pavan, et al.
Publicado: (2026)

The Compliance Paradox: Semantic-Instruction Decoupling in Automated Academic Code Evaluation
por: Sahoo, Devanshu, et al.
Publicado: (2026)

Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus
por: Lee, Seungpil, et al.
Publicado: (2024)

CORPGEN: Simulating Corporate Environments with Autonomous Digital Employees in Multi-Horizon Task Environments
por: Jaye, Abubakarr, et al.
Publicado: (2026)

Reflexive Prompt Engineering: A Framework for Responsible Prompt Engineering and Interaction Design
por: Djeffal, Christian
Publicado: (2025)

Conversation Routines: A Prompt Engineering Framework for Task-Oriented Dialog Systems
por: Robino, Giorgio
Publicado: (2025)

Synergistic Simulations: Multi-Agent Problem Solving with Large Language Models
por: Sprigler, Asher, et al.
Publicado: (2024)

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test?
por: Khera, Bhakti, et al.
Publicado: (2025)

Hyper-Compression: Model Compression via Hyperfunction
por: Fan, Fenglei, et al.
Publicado: (2024)