Image de couverture de livre

Image First or Text First? Optimising the Sequencing of Modalities in Large Language Model Prompting and Reasoning Tasks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wardle, Grant, Susnjak, Teo
Format:	Preprint
Publié:	2024
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Evaluating Prompting Strategies and Large Language Models in Systematic Literature Review Screening: Relevance and Task-Stage Classification
par: Han, Binglan, et autres
Publié: (2025)

Compiling Prompts, Not Crafting Them: A Reproducible Workflow for AI-Assisted Evidence Synthesis
par: Susnjak, Teo
Publié: (2025)

Automated Risk-of-Bias Assessment of Randomized Controlled Trials: A First Look at a GEPA-trained Programmatic Prompting Framework
par: Li, Lingbo, et autres
Publié: (2025)

A Reproducible Optimisation Protocol for Calibrating Prompt-Based Large Language Model Workflows in Evidence Synthesis
par: Susnjak, Teo
Publié: (2026)

What Level of Automation is "Good Enough"? A Benchmark of Large Language Models for Meta-Analysis Data Extraction
par: Li, Lingbo, et autres
Publié: (2025)

Forecasting Commencing Enrolments Under Data Sparsity: A Zero-Shot Time Series Foundation Models Framework for Higher Education Planning
par: Jetwiriyanon, Jittarin, et autres
Publié: (2026)

Generalisation Bounds of Zero-Shot Economic Forecasting using Time Series Foundation Models
par: Jetwiriyanon, Jittarin, et autres
Publié: (2025)

Transforming Evidence Synthesis: A Systematic Review of the Evolution of Automated Meta-Analysis in the Age of AI
par: Li, Lingbo, et autres
Publié: (2025)

From COBIT to ISO 42001: Evaluating Cybersecurity Frameworks for Opportunities, Risks, and Regulatory Compliance in Commercializing Large Language Models
par: McIntosh, Timothy R., et autres
Publié: (2024)

Hierarchical Expert Prompt for Large-Language-Model: An Approach Defeat Elite AI in TextStarCraft II for the First Time
par: Li, Zongyuan, et autres
Publié: (2025)

Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence
par: McIntosh, Timothy R., et autres
Publié: (2024)

A Survey of Bugs in AI-Generated Code
par: Gao, Ruofan, et autres
Publié: (2025)

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques
par: Aly, Walid Mohamed, et autres
Publié: (2025)

FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation
par: Teo, Christopher T. H, et autres
Publié: (2024)

BFS-PO: Best-First Search for Large Reasoning Models
par: Parascandolo, Fiorenzo, et autres
Publié: (2026)

How Confident Is the First Token? An Uncertainty-Calibrated Prompt Optimization Framework for Large Language Model Classification and Understanding
par: Chen, Wei, et autres
Publié: (2026)

Kuaiji: the First Chinese Accounting Large Language Model
par: Luo, Jiayuan, et autres
Publié: (2024)

Learning What to Attend First: Modality-Importance-Guided Reasoning for Reliable Multimodal Emotion Understanding
par: Rha, Hyeongseop, et autres
Publié: (2025)

Segment First or Comprehend First? Explore the Limit of Unsupervised Word Segmentation with Large Language Models
par: Zhang, Zihong, et autres
Publié: (2025)

Within-Model vs Between-Prompt Variability in Large Language Models for Creative Tasks
par: Haase, Jennifer, et autres
Publié: (2026)

Self-Corrective Task Planning by Inverse Prompting with Large Language Models
par: Lee, Jiho, et autres
Publié: (2025)

Text-Printed Image: Bridging the Image-Text Modality Gap for Text-centric Training of Large Vision-Language Models
par: Yamabe, Shojiro, et autres
Publié: (2025)

Reasoning Capabilities of Large Language Models on Dynamic Tasks
par: Wong, Annie, et autres
Publié: (2025)

On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasks
par: Stechly, Kaya, et autres
Publié: (2024)

Beyond Text-Dominance: Understanding Modality Preference of Omni-modal Large Language Models
par: Yan, Xinru, et autres
Publié: (2026)

The First Multilingual Model For The Detection of Suicide Texts
par: Zevallos, Rodolfo, et autres
Publié: (2024)

Benchmarking Large Language Models on Multiple Tasks in Bioinformatics NLP with Prompting
par: Jiang, Jiyue, et autres
Publié: (2025)

Benchmarking Large Language Models with Integer Sequence Generation Tasks
par: O'Malley, Daniel, et autres
Publié: (2024)

Reasoning via Video: The First Evaluation of Video Models' Reasoning Abilities through Maze-Solving Tasks
par: Yang, Cheng, et autres
Publié: (2025)

Optimising Language Models for Downstream Tasks: A Post-Training Perspective
par: Shi, Zhengyan
Publié: (2025)

Intelligence Sequencing and the Path-Dependence of Intelligence Evolution: AGI-First vs. DCI-First as Irreversible Attractors
par: Williams, Andy E.
Publié: (2025)

Separate First, Fuse Later: Mitigating Cross-Modal Interference in Audio-Visual LLMs Reasoning with Modality-Specific Chain-of-Thought
par: Li, Xuanchen, et autres
Publié: (2026)

Importance of Prompt Optimisation for Error Detection in Medical Notes Using Language Models
par: Myles, Craig, et autres
Publié: (2026)

Prompting Large Vision-Language Models for Compositional Reasoning
par: Ossowski, Timothy, et autres
Publié: (2024)

First Try Matters: Revisiting the Role of Reflection in Reasoning Models
par: Kang, Liwei, et autres
Publié: (2025)

Image-of-Thought Prompting for Visual Reasoning Refinement in Multimodal Large Language Models
par: Zhou, Qiji, et autres
Publié: (2024)

Improving Small-Scale Large Language Models Function Calling for Reasoning Tasks
par: Manduzio, Graziano A., et autres
Publié: (2024)

BRIDGES: Bridging Graph Modality and Large Language Models within EDA Tasks
par: Li, Wei, et autres
Publié: (2025)

Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
par: Wang, Yajing, et autres
Publié: (2024)

Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models
par: Li, Yitian, et autres
Publié: (2024)