Cover Image

Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yugeswardeenoo, Dharunish, Zhu, Kevin, O'Brien, Sean
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving the performance of AI-powered Affordable Robotics for Assistive Tasks
by: Yugeswardeenoo, Dharunish
Published: (2025)

Interpreting the Latent Structure of Operator Precedence in Language Models
by: Yugeswardeenoo, Dharunish, et al.
Published: (2025)

AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark
by: Gupta, Abhay, et al.
Published: (2024)

Error Reflection Prompting: Can Large Language Models Successfully Understand Errors?
by: Li, Jason, et al.
Published: (2025)

CLEAR: Contrasting Textual Feedback with Experts and Amateurs for Reasoning
by: Rufail, Andrew, et al.
Published: (2025)

Improving LLM Abilities in Idiomatic Translation
by: Donthi, Sundesh, et al.
Published: (2024)

NovelHopQA: Diagnosing Multi-Hop Reasoning Failures in Long Narrative Contexts
by: Gupta, Abhay, et al.
Published: (2025)

Semantic Self-Consistency: Enhancing Language Model Reasoning via Semantic Weighting
by: Knappe, Tim, et al.
Published: (2024)

Introducing MAPO: Momentum-Aided Gradient Descent Prompt Optimization
by: Cui, Anthony, et al.
Published: (2024)

Pragmatic Metacognitive Prompting Improves LLM Performance on Sarcasm Detection
by: Lee, Joshua, et al.
Published: (2024)

MALIBU Benchmark: Multi-Agent LLM Implicit Bias Uncovered
by: Mirza, Imran, et al.
Published: (2025)

Adaptive Originality Filtering: Rejection Based Prompting and RiddleScore for Culturally Grounded Multilingual Riddle Generation
by: Le, Duy, et al.
Published: (2025)

Pruning for Performance: Efficient Idiom and Metaphor Classification in Low-Resource Konkani Using mBERT
by: Do, Timothy, et al.
Published: (2025)

ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems
by: Singh, Ishneet Sukhvinder, et al.
Published: (2024)

Chain-of-Thought Augmentation with Logit Contrast for Enhanced Reasoning in Language Models
by: Shim, Jay, et al.
Published: (2024)

Pause-Tuning for Long-Context Comprehension: A Lightweight Approach to LLM Attention Recalibration
by: Begin, James, et al.
Published: (2025)

EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models
by: Gupta, Abhay, et al.
Published: (2025)

Rosetta-PL: Propositional Logic as a Benchmark for Large Language Model Reasoning
by: Baek, Shaun, et al.
Published: (2025)

FAIRE: Assessing Racial and Gender Bias in AI-Driven Resume Evaluations
by: Wen, Athena, et al.
Published: (2025)

Direct Confidence Alignment: Aligning Verbalized Confidence with Internal Confidence In Large Language Models
by: Zhang, Glenn, et al.
Published: (2025)

Beyond Captioning: Task-Specific Prompting for Improved VLM Performance in Mathematical Reasoning
by: Singh, Ayush, et al.
Published: (2024)

ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models
by: Khalid, Haziq Mohammad, et al.
Published: (2025)

Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques
by: Xiong, Lang, et al.
Published: (2025)

TRUTH DECAY: Quantifying Multi-Turn Sycophancy in Language Models
by: Liu, Joshua, et al.
Published: (2025)

Probing Audio-Generation Capabilities of Text-Based Language Models
by: Anbazhagan, Arjun Prasaath, et al.
Published: (2025)

DiversityMedQA: Assessing Demographic Biases in Medical Diagnosis using Large Language Models
by: Rawat, Rajat, et al.
Published: (2024)

Causal Language Control in Multilingual Transformers via Sparse Feature Steering
by: Chou, Cheng-Ting, et al.
Published: (2025)

Hierarchical Chain-of-Thought Prompting: Enhancing LLM Reasoning Performance and Efficiency
by: Huang, Xingshuai, et al.
Published: (2026)

!MSA at AraHealthQA 2025 Shared Task: Enhancing LLM Performance for Arabic Clinical Question Answering through Prompt Engineering and Ensemble Learning
by: Tarek, Mohamed, et al.
Published: (2025)

Distill CLIP (DCLIP): Enhancing Image-Text Retrieval via Cross-Modal Transformer Distillation
by: Csizmadia, Daniel, et al.
Published: (2025)

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs
by: Yu, Stanley, et al.
Published: (2025)

Is Large Language Model Performance on Reasoning Tasks Impacted by Different Ways Questions Are Asked?
by: Song, Seok Hwan, et al.
Published: (2025)

Self-Updatable Large Language Models by Integrating Context into Model Parameters
by: Wang, Yu, et al.
Published: (2024)

Self-Reflective Planning with Knowledge Graphs: Enhancing LLM Reasoning Reliability for Question Answering
by: Zhu, Jiajun, et al.
Published: (2025)

Do Cognitively Interpretable Reasoning Traces Improve LLM Performance?
by: Bhambri, Siddhant, et al.
Published: (2025)

Multilingual Prompting for Improving LLM Generation Diversity
by: Wang, Qihan, et al.
Published: (2025)

AutoMedPrompt: A New Framework for Optimizing LLM Medical Prompts Using Textual Gradients
by: Wu, Sean, et al.
Published: (2025)

LLM-based Discriminative Reasoning for Knowledge Graph Question Answering
by: Xu, Mufan, et al.
Published: (2024)

Persona Prompting as a Lens on LLM Social Reasoning
by: Yang, Jing, et al.
Published: (2026)

A Course Shared Task on Evaluating LLM Output for Clinical Questions
by: Hou, Yufang, et al.
Published: (2024)