Imagen de Portada

Is Large Language Model Performance on Reasoning Tasks Impacted by Different Ways Questions Are Asked?

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Song, Seok Hwan, Chakraborty, Mohna, Li, Qi, Tavanapong, Wallapak
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Beyond Single Plots: A Benchmark for Question Answering on Multi-Charts
por: Efat, Azher Ahmed, et al.
Publicado: (2026)

Assessing Y-Axis Influence: Bias in Multimodal Language Models on Chart-to-Table Translation
por: Song, Seok Hwan, et al.
Publicado: (2026)

I Could've Asked That: Reformulating Unanswerable Questions
por: Zhao, Wenting, et al.
Publicado: (2024)

Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models
por: Levy, Mosh, et al.
Publicado: (2024)

To Think or Not To Think, That is The Question for Large Reasoning Models in Theory of Mind Tasks
por: Gong, Nanxu, et al.
Publicado: (2026)

Multi-hop Question Answering over Knowledge Graphs using Large Language Models
por: Chakraborty, Abir
Publicado: (2024)

Ask Good Questions for Large Language Models
por: Wu, Qi, et al.
Publicado: (2025)

Using Contrastive Learning to Improve Two-Way Reasoning in Large Language Models: The Obfuscation Task as a Case Study
por: Nikiema, Serge Lionel, et al.
Publicado: (2025)

EpiQAL: Benchmarking Large Language Models in Epidemiological Question Answering and Reasoning
por: Wei, Mingyang, et al.
Publicado: (2026)

Multilingual Medical Reasoning for Question Answering with Large Language Models
por: Ferrazzi, Pietro, et al.
Publicado: (2025)

Did You Forget What I Asked? Prospective Memory Failures in Large Language Models
por: Mittal, Avni
Publicado: (2026)

Reasoning Capabilities of Large Language Models on Dynamic Tasks
por: Wong, Annie, et al.
Publicado: (2025)

Impact of Task Phrasing on Presumptions in Large Language Models
por: Ong, Kenneth J. K.
Publicado: (2026)

Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
por: Wang, Yajing, et al.
Publicado: (2024)

TaskBench: Benchmarking Large Language Models for Task Automation
por: Shen, Yongliang, et al.
Publicado: (2023)

Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering
por: Ferguson, Nick, et al.
Publicado: (2025)

Evaluating Large Language Models on Solved and Unsolved Problems in Graph Theory: Implications for Computing Education
por: Kulkarni, Adithya, et al.
Publicado: (2026)

Bactrainus: Optimizing Large Language Models for Multi-hop Complex Question Answering Tasks
por: Barati, Iman, et al.
Publicado: (2025)

The Impact of Reasoning Step Length on Large Language Models
por: Jin, Mingyu, et al.
Publicado: (2024)

DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models
por: Bae, Suyoung, et al.
Publicado: (2025)

Survey on Reasoning Capabilities and Accessibility of Large Language Models Using Biology-related Questions
por: Ackerman, Michael
Publicado: (2024)

THELMA: Task Based Holistic Evaluation of Large Language Model Applications-RAG Question Answering
por: Patel, Udita, et al.
Publicado: (2025)

BiLD: Bi-directional Logits Difference Loss for Large Language Model Distillation
por: Li, Minchong, et al.
Publicado: (2024)

Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function
por: Vafa, Keyon, et al.
Publicado: (2024)

How do Scaling Laws Apply to Knowledge Graph Engineering Tasks? The Impact of Model Size on Large Language Model Performance
por: Heim, Desiree, et al.
Publicado: (2025)

A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks
por: Vatsal, Shubham, et al.
Publicado: (2024)

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
por: Xu, Fengli, et al.
Publicado: (2025)

Can Large Language Models Create New Knowledge for Spatial Reasoning Tasks?
por: Greatrix, Thomas, et al.
Publicado: (2024)

Understanding Artificial Theory of Mind: Perturbed Tasks and Reasoning in Large Language Models
por: Nickel, Christian, et al.
Publicado: (2026)

Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models
por: Lewis, Martha, et al.
Publicado: (2024)

Exploring the Performance of Large Language Models on Subjective Span Identification Tasks
por: Dmonte, Alphaeus, et al.
Publicado: (2026)

FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering
por: Sui, Yuan, et al.
Publicado: (2024)

Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately
por: Zhang, Liang, et al.
Publicado: (2024)

Reducing Domain Gap with Diffusion-Based Domain Adaptation for Cell Counting
por: Dehghanmanshadi, Mohammad, et al.
Publicado: (2025)

Large Language Model Benchmarks in Medical Tasks
por: Yan, Lawrence K. Q., et al.
Publicado: (2024)

General365: Benchmarking General Reasoning in Large Language Models Across Diverse and Challenging Tasks
por: Liu, Junlin, et al.
Publicado: (2026)

Cognitively Diverse Multiple-Choice Question Generation: A Hybrid Multi-Agent Framework with Large Language Models
por: Tian, Yu, et al.
Publicado: (2026)

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

Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning
por: Bao, Qiming, et al.
Publicado: (2023)

LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
por: Wang, Jingyuan, et al.
Publicado: (2025)