Cover Image

Exploring the Limitations of Large Language Models in Compositional Relation Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Jinman, Zhang, Xueyan
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

Can Language Model Understand Word Semantics as A Chatbot? An Empirical Study of Language Model Internal External Mismatch
by: Zhao, Jinman, et al.
Published: (2024)

Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning
by: Zhao, Jun, et al.
Published: (2024)

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models
by: Zhang, Xueyan, et al.
Published: (2025)

Role-Play Paradox in Large Language Models: Reasoning Performance Gains and Ethical Dilemmas
by: Zhao, Jinman, et al.
Published: (2024)

Gender Bias in Large Language Models across Multiple Languages
by: Zhao, Jinman, et al.
Published: (2024)

Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math
by: Xu, Haoran, et al.
Published: (2025)

Fin-Bias: Comprehensive Evaluation for LLM Decision-Making under human bias in Finance Domain
by: Hu, Xiaoyu, et al.
Published: (2026)

Large Language Models are Limited in Out-of-Context Knowledge Reasoning
by: Hu, Peng, et al.
Published: (2024)

Extracting and Following Paths for Robust Relational Reasoning with Large Language Models
by: Zhang, Ge, et al.
Published: (2024)

Segment First or Comprehend First? Explore the Limit of Unsupervised Word Segmentation with Large Language Models
by: Zhang, Zihong, et al.
Published: (2025)

Thinking in Many Modes: How Composite Reasoning Elevates Large Language Model Performance with Limited Data
by: Ahmad, Zishan, et al.
Published: (2025)

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models
by: Yang, Haoyan, et al.
Published: (2024)

Sequence-level Large Language Model Training with Contrastive Preference Optimization
by: Feng, Zhili, et al.
Published: (2025)

ACADREASON: Exploring the Limits of Reasoning Models with Academic Research Problems
by: Gui, Xin, et al.
Published: (2025)

Pretraining on the Test Set Is No Longer All You Need: A Debate-Driven Approach to QA Benchmarks
by: Cao, Linbo, et al.
Published: (2025)

Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models
by: Jia, Boyu, et al.
Published: (2025)

Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks
by: Wu, Zhaofeng, et al.
Published: (2023)

HCR-Reasoner: Synergizing Large Language Models and Theory for Human-like Causal Reasoning
by: Zhang, Yanxi, et al.
Published: (2025)

Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries
by: Biran, Eden, et al.
Published: (2024)

TRAM: Benchmarking Temporal Reasoning for Large Language Models
by: Wang, Yuqing, et al.
Published: (2023)

Structured Event Reasoning with Large Language Models
by: Zhang, Li
Published: (2024)

InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models
by: Yan, Yuchen, et al.
Published: (2025)

Structured In-context Environment Scaling for Large Language Model Reasoning
by: Yu, Peng, et al.
Published: (2025)

Recognizing Limits: Investigating Infeasibility in Large Language Models
by: Zhang, Wenbo, et al.
Published: (2024)

Computational Reasoning of Large Language Models
by: Wu, Haitao, et al.
Published: (2025)

Exploring the Translation Mechanism of Large Language Models
by: Zhang, Hongbin, et al.
Published: (2025)

Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning
by: Lyu, Chengqi, et al.
Published: (2025)

Dual Instruction Tuning with Large Language Models for Mathematical Reasoning
by: Zhou, Yongwei, et al.
Published: (2024)

BaziQA-Benchmark: Evaluating Symbolic and Temporally Compositional Reasoning in Large Language Models
by: Chen, Jiangxi, et al.
Published: (2026)

Evaluating the Limits of Large Language Models in Multilingual Legal Reasoning
by: Ioannou, Antreas, et al.
Published: (2025)

Large Language Models are In-context Teachers for Knowledge Reasoning
by: Zhao, Jiachen, et al.
Published: (2023)

Improving Arithmetic Reasoning Ability of Large Language Models through Relation Tuples, Verification and Dynamic Feedback
by: Miao, Zhongtao, et al.
Published: (2024)

MobileLLM-R1: Exploring the Limits of Sub-Billion Language Model Reasoners with Open Training Recipes
by: Zhao, Changsheng, et al.
Published: (2025)

Analogical Reasoning Inside Large Language Models: Concept Vectors and the Limits of Abstraction
by: Opiełka, Gustaw, et al.
Published: (2025)

LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models
by: Hu, Zhiyuan, et al.
Published: (2024)

TInR: Exploring Tool-Internalized Reasoning in Large Language Models
by: Xu, Qiancheng, et al.
Published: (2026)

Exploring the Limits of Pruning: Task-Specific Neurons, Model Collapse, and Recovery in Task-Specific Large Language Models
by: Siam, M. K. Khalidi, et al.
Published: (2026)

Exploring the System 1 Thinking Capability of Large Reasoning Models
by: Zhang, Wenyuan, et al.
Published: (2025)

Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models
by: Zheng, Zi'ou, et al.
Published: (2024)

Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models
by: Luo, Linhao, et al.
Published: (2024)