:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Jason, Viteri, Scott
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2409.14026
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reasoning Beyond Chain-of-Thought: A Latent Computational Mode in Large Language Models
by: He, Zhenghao, et al.
Published: (2026)

Latent Chain-of-Thought for Visual Reasoning
by: Sun, Guohao, et al.
Published: (2025)

Thoughts-as-Planning: Latent World Models for Chain-of-Thoughts Optimization via Reinforcement Planning
by: Liu, Dong, et al.
Published: (2026)

When Chain of Thought is Necessary, Language Models Struggle to Evade Monitors
by: Emmons, Scott, et al.
Published: (2025)

A Formal Comparison Between Chain of Thought and Latent Thought
by: Xu, Kevin, et al.
Published: (2025)

Uncovering Latent Human Wellbeing in Language Model Embeddings
by: Freire, Pedro, et al.
Published: (2024)

Dynamics Within Latent Chain-of-Thought: An Empirical Study of Causal Structure
by: Li, Zirui, et al.
Published: (2026)

Latent Chain-of-Thought as Planning: Decoupling Reasoning from Verbalization
by: Wang, Jiecong, et al.
Published: (2026)

LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning
by: Xu, Zifan, et al.
Published: (2023)

Multimodal Chain-of-Thought Reasoning in Language Models
by: Zhang, Zhuosheng, et al.
Published: (2023)

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

Self-Specialization: Uncovering Latent Expertise within Large Language Models
by: Kang, Junmo, et al.
Published: (2023)

Upfront Chain-of-Thought: A Cooperative Framework for Chain-of-Thought Compression
by: Li, Chengzhengxu, et al.
Published: (2025)

SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities
by: Jiang, Fengqing, et al.
Published: (2025)

Supervised Chain of Thought
by: Zhang, Xiang, et al.
Published: (2024)

Latent Chain-of-Thought? Decoding the Depth-Recurrent Transformer
by: Lu, Wenquan, et al.
Published: (2025)

Applying Large Language Models and Chain-of-Thought for Automatic Scoring
by: Lee, Gyeong-Geon, et al.
Published: (2023)

Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models
by: Zou, Anni, et al.
Published: (2023)

FedCoT: Federated Chain-of-Thought Distillation for Large Language Models
by: Fan, Tao, et al.
Published: (2024)

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
by: Sun, Jiashuo, et al.
Published: (2023)

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

Injecting Salesperson's Dialogue Strategies in Large Language Models with Chain-of-Thought Reasoning
by: Chang, Wen-Yu, et al.
Published: (2024)

The Benefits of a Concise Chain of Thought on Problem-Solving in Large Language Models
by: Renze, Matthew, et al.
Published: (2024)

CoAT: Chain-of-Associated-Thoughts Framework for Enhancing Large Language Models Reasoning
by: Pan, Jianfeng, et al.
Published: (2025)

When Chain-of-Thought Backfires: Evaluating Prompt Sensitivity in Medical Language Models
by: Sadanandan, Binesh, et al.
Published: (2026)

Policy Frameworks for Transparent Chain-of-Thought Reasoning in Large Language Models
by: Chen, Yihang, et al.
Published: (2025)

Autoregressive + Chain of Thought = Recurrent: Recurrence's Role in Language Models' Computability and a Revisit of Recurrent Transformer
by: Zhang, Xiang, et al.
Published: (2024)

The Fragility of Chain-of-Thought Monitoring Across Typologically Diverse Languages
by: Onyame, Eric, et al.
Published: (2026)

Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning
by: Xu, Haolei, et al.
Published: (2025)

NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language Models
by: Xu, Ancheng, et al.
Published: (2024)

Expediting and Elevating Large Language Model Reasoning via Hidden Chain-of-Thought Decoding
by: Liu, Tianqiao, et al.
Published: (2024)

Enhancing Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought
by: Li, Zaijing, et al.
Published: (2024)

COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models
by: Fayyazi, Arya, et al.
Published: (2026)

Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought
by: Lee, Jooyoung, et al.
Published: (2024)

The Molecular Structure of Thought: Mapping the Topology of Long Chain-of-Thought Reasoning
by: Chen, Qiguang, et al.
Published: (2026)

Learning Composable Chains-of-Thought
by: Yin, Fangcong, et al.
Published: (2025)

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models
by: Li, Feiyang, et al.
Published: (2025)

How does Chain of Thought Think? Mechanistic Interpretability of Chain-of-Thought Reasoning with Sparse Autoencoding
by: Chen, Xi, et al.
Published: (2025)

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

GCoT: Chain-of-Thought Prompt Learning for Graphs
by: Yu, Xingtong, et al.
Published: (2025)