Buchumschlag

All Code, No Thought: Current Language Models Struggle to Reason in Ciphered Language

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Guo, Shiyuan, Sleight, Henry, Roger, Fabien
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Computation and Language Artificial Intelligence Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
von: Ye, Jiacheng, et al.
Veröffentlicht: (2024)

ORION: Teaching Language Models to Reason Efficiently in the Language of Thought
von: Tanmay, Kumar, et al.
Veröffentlicht: (2025)

Toward Adaptive Reasoning in Large Language Models with Thought Rollback
von: Chen, Sijia, et al.
Veröffentlicht: (2024)

Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models
von: Shang, Yu, et al.
Veröffentlicht: (2024)

Long Chain-of-Thought Reasoning Across Languages
von: Barua, Josh, et al.
Veröffentlicht: (2025)

$T^2$ of Thoughts: Temperature Tree Elicits Reasoning in Large Language Models
von: Cai, Chengkun, et al.
Veröffentlicht: (2024)

Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning
von: Yue, Murong, et al.
Veröffentlicht: (2023)

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
von: Cui, Yingqian, et al.
Veröffentlicht: (2025)

Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models
von: Chen, Changyu, et al.
Veröffentlicht: (2024)

The LLM Has Left The Chat: Evidence of Bail Preferences in Large Language Models
von: Ensign, Danielle, et al.
Veröffentlicht: (2025)

Language models are better than humans at next-token prediction
von: Shlegeris, Buck, et al.
Veröffentlicht: (2022)

Large Language Models Struggle in Token-Level Clinical Named Entity Recognition
von: Lu, Qiuhao, et al.
Veröffentlicht: (2024)

SQuARE: Sequential Question Answering Reasoning Engine for Enhanced Chain-of-Thought in Large Language Models
von: Fleischer, Daniel, et al.
Veröffentlicht: (2025)

Guidance is All You Need: Temperature-Guided Reasoning in Large Language Models
von: Gomaa, Eyad, et al.
Veröffentlicht: (2024)

Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations
von: Aravindan, Ashwath Vaithinathan, et al.
Veröffentlicht: (2026)

Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
von: Li, Chengshu, et al.
Veröffentlicht: (2023)

Chain-of-Defensive-Thought: Structured Reasoning Elicits Robustness in Large Language Models against Reference Corruption
von: Wang, Wenxiao, et al.
Veröffentlicht: (2025)

Let Models Speak Ciphers: Multiagent Debate through Embeddings
von: Pham, Chau, et al.
Veröffentlicht: (2023)

Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic
von: Zhao, Xufeng, et al.
Veröffentlicht: (2023)

Frontier LLMs Still Struggle with Simple Reasoning Tasks
von: Malek, Alan, et al.
Veröffentlicht: (2025)

Are Retrials All You Need? Enhancing Large Language Model Reasoning Without Verbalized Feedback
von: Potamitis, Nearchos, et al.
Veröffentlicht: (2025)

DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning
von: Li, Chengpeng, et al.
Veröffentlicht: (2024)

All Language Models Large and Small
von: Chen, Zhixun, et al.
Veröffentlicht: (2024)

Graph of Thoughts: Solving Elaborate Problems with Large Language Models
von: Besta, Maciej, et al.
Veröffentlicht: (2023)

Reasoning, Code, or Both? How Large Language Models Handle Variations in Math Questions
von: Kutakh, Matthew
Veröffentlicht: (2026)

Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model Reasoning
von: Radha, Santosh Kumar, et al.
Veröffentlicht: (2024)

Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical Distributions
von: Zhao, Minda, et al.
Veröffentlicht: (2026)

Variational Reasoning for Language Models
von: Zhou, Xiangxin, et al.
Veröffentlicht: (2025)

Reasoning Planning for Language Models
von: Nguyen, Bao, et al.
Veröffentlicht: (2025)

Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models
von: Chen, Sijia, et al.
Veröffentlicht: (2024)

Stepwise Self-Consistent Mathematical Reasoning with Large Language Models
von: Zhao, Zilong, et al.
Veröffentlicht: (2024)

Thought Crime: Backdoors and Emergent Misalignment in Reasoning Models
von: Chua, James, et al.
Veröffentlicht: (2025)

Enhancing Generalization in Chain of Thought Reasoning for Smaller Models
von: Yin, Maxwell J., et al.
Veröffentlicht: (2025)

Fractured Chain-of-Thought Reasoning
von: Liao, Baohao, et al.
Veröffentlicht: (2025)

Large Language and Reasoning Models are Shallow Disjunctive Reasoners
von: Khalid, Irtaza, et al.
Veröffentlicht: (2025)

One Model for All: Multi-Objective Controllable Language Models
von: He, Qiang, et al.
Veröffentlicht: (2026)

Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models
von: Qasim, Kaleem Ullah, et al.
Veröffentlicht: (2025)

Tracing Uncertainty in Language Model "Reasoning"
von: Grünefeld, Nils, et al.
Veröffentlicht: (2026)

Large Language Model Reasoning Failures
von: Song, Peiyang, et al.
Veröffentlicht: (2026)

Ulterior Motives: Detecting Misaligned Reasoning in Continuous Thought Models
von: Ramjee, Sharan
Veröffentlicht: (2026)