Buchumschlag

BloomWise: Enhancing Problem-Solving capabilities of Large Language Models using Bloom's-Taxonomy-Inspired Prompts

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Zoumpoulidi, Maria-Eleni, Paraskevopoulos, Georgios, Potamianos, Alexandros
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computation and Language
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

MSDA: Combining Pseudo-labeling and Self-Supervision for Unsupervised Domain Adaptation in ASR
von: Damianos, Dimitrios, et al.
Veröffentlicht: (2025)

Masked Diffusion Language Models with Frequency-Informed Training
von: Kosmopoulou, Despoina, et al.
Veröffentlicht: (2025)

Y-Drop: A Conductance based Dropout for fully connected layers
von: Georgiou, Efthymios, et al.
Veröffentlicht: (2024)

Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' Posteriors
von: Chochlakis, Georgios, et al.
Veröffentlicht: (2024)

How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes
von: Elkins, Sabina, et al.
Veröffentlicht: (2024)

The Strong Pull of Prior Knowledge in Large Language Models and Its Impact on Emotion Recognition
von: Chochlakis, Georgios, et al.
Veröffentlicht: (2024)

Mechanistic Interpretability of Cognitive Complexity in LLMs via Linear Probing using Bloom's Taxonomy
von: Raimondi, Bianca, et al.
Veröffentlicht: (2026)

Automated Benchmark Generation from Domain Guidelines Informed by Bloom's Taxonomy
von: Chen, Si, et al.
Veröffentlicht: (2026)

Automated Analysis of Learning Outcomes and Exam Questions Based on Bloom's Taxonomy
von: Kumar, Ramya, et al.
Veröffentlicht: (2025)

Auto-Compressing Networks
von: Dorovatas, Vaggelis, et al.
Veröffentlicht: (2025)

Automated Educational Question Generation at Different Bloom's Skill Levels using Large Language Models: Strategies and Evaluation
von: Scaria, Nicy, et al.
Veröffentlicht: (2024)

FinBloom: Knowledge Grounding Large Language Model with Real-time Financial Data
von: Sinha, Ankur, et al.
Veröffentlicht: (2025)

PromptPrism: A Linguistically-Inspired Taxonomy for Prompts
von: Jeoung, Sullam, et al.
Veröffentlicht: (2025)

How Effective is GPT-4 Turbo in Generating School-Level Questions from Textbooks Based on Bloom's Revised Taxonomy?
von: Maity, Subhankar, et al.
Veröffentlicht: (2024)

Transcoders Trace Visual Grounding and Hallucinations in Vision-Language Models
von: Damianos, Dimitrios, et al.
Veröffentlicht: (2026)

BloomVQA: Assessing Hierarchical Multi-modal Comprehension
von: Gong, Yunye, et al.
Veröffentlicht: (2023)

The Anxiety of Influence: Bloom Filters in Transformer Attention Heads
von: Balogh, Peter
Veröffentlicht: (2026)

EditGen: Harnessing Cross-Attention Control for Instruction-Based Auto-Regressive Audio Editing
von: Sioros, Vassilis, et al.
Veröffentlicht: (2025)

Meltemi: The first open Large Language Model for Greek
von: Voukoutis, Leon, et al.
Veröffentlicht: (2024)

Krikri: Advancing Open Large Language Models for Greek
von: Roussis, Dimitris, et al.
Veröffentlicht: (2025)

VOX-KRIKRI: Unifying Speech and Language through Continuous Fusion
von: Damianos, Dimitrios, et al.
Veröffentlicht: (2025)

Enhanced Bloom's Educational Taxonomy for Fostering Information Literacy in the Era of Large Language Models
von: Luo, Yiming, et al.
Veröffentlicht: (2025)

Reflections on Bloom's Revised Taxonomy
von: Aly Amer
Veröffentlicht: (2006)

Bloom-epistemic and sentiment analysis hierarchical classification in course discussion forums
von: Toba, H., et al.
Veröffentlicht: (2024)

Extending Interactive Science Exhibits into the Classroom using Anthropomorphized Chatbots and Bloom's Taxonomy
von: Golding, Yousuf
Veröffentlicht: (2024)

DeepMLF: Multimodal language model with learnable tokens for deep fusion in sentiment analysis
von: Georgiou, Efthymios, et al.
Veröffentlicht: (2025)

The PICCO Framework for Large Language Model Prompting: A Taxonomy and Reference Architecture for Prompt Structure
von: Cook, David A.
Veröffentlicht: (2026)

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting
von: Wijesiriwardene, Thilini, et al.
Veröffentlicht: (2024)

Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples
von: Zeng, Qingkai, et al.
Veröffentlicht: (2024)

MEDUSA: A Multimodal Deep Fusion Multi-Stage Training Framework for Speech Emotion Recognition in Naturalistic Conditions
von: Chatzichristodoulou, Georgios, et al.
Veröffentlicht: (2025)

Forgetting as a Feature: Cognitive Alignment of Large Language Models
von: Christoforos, Alexandros
Veröffentlicht: (2025)

Reinforcement Learning Problem Solving with Large Language Models
von: Gholamian, Sina, et al.
Veröffentlicht: (2024)

Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
von: Lee, Jung Hyun, et al.
Veröffentlicht: (2024)

Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?
von: Yang, Zhe, et al.
Veröffentlicht: (2024)

Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models
von: Tan, Wenting, et al.
Veröffentlicht: (2024)

Plan of Thoughts: Heuristic-Guided Problem Solving with Large Language Models
von: Liu, Houjun
Veröffentlicht: (2024)

GCoder: Improving Large Language Model for Generalized Graph Problem Solving
von: Zhang, Qifan, et al.
Veröffentlicht: (2024)

The Greek podcast corpus: Competitive speech models for low-resourced languages with weakly supervised data
von: Paraskevopoulos, Georgios, et al.
Veröffentlicht: (2024)

The Effect of Sampling Temperature on Problem Solving in Large Language Models
von: Renze, Matthew, et al.
Veröffentlicht: (2024)

Benchmarking Large Language Models for Calculus Problem-Solving: A Comparative Analysis
von: Moon, In Hak
Veröffentlicht: (2025)