Cover Image

Focused Chain-of-Thought: Efficient LLM Reasoning via Structured Input Information

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Struppek, Lukas, Hintersdorf, Dominik, Struppek, Hannah, Neider, Daniel, Kersting, Kristian
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Defending Our Privacy With Backdoors
by: Hintersdorf, Dominik, et al.
Published: (2023)

Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash
by: Struppek, Lukas, et al.
Published: (2021)

Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks
by: Struppek, Lukas, et al.
Published: (2023)

Exploring the Adversarial Capabilities of Large Language Models
by: Struppek, Lukas, et al.
Published: (2024)

Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
by: Hintersdorf, Dominik, et al.
Published: (2024)

Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis
by: Struppek, Lukas, et al.
Published: (2022)

Finding DoRI: Discovery of Retained Images in Diffusion Models
by: Kowalczuk, Antoni, et al.
Published: (2025)

Exposing the Systematic Vulnerability of Open-Weight Models to Prefill Attacks
by: Struppek, Lukas, et al.
Published: (2026)

Does CLIP Know My Face?
by: Hintersdorf, Dominik, et al.
Published: (2022)

Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigation
by: Steinmann, David, et al.
Published: (2024)

Markov Chain of Thought for Efficient Mathematical Reasoning
by: Yang, Wen, et al.
Published: (2024)

LIME: Making LLM Data More Efficient with Linguistic Metadata Embeddings
by: Sztwiertnia, Sebastian, et al.
Published: (2025)

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

Table as Thought: Exploring Structured Thoughts in LLM Reasoning
by: Sun, Zhenjie, et al.
Published: (2025)

CollaFuse: Collaborative Diffusion Models
by: Allmendinger, Simeon, et al.
Published: (2024)

Tracing Thought: Using Chain-of-Thought Reasoning to Identify the LLM Behind AI-Generated Text
by: Agrahari, Shifali, et al.
Published: (2025)

ETR: Entropy Trend Reward for Efficient Chain-of-Thought Reasoning
by: Xiong, Xuan, et al.
Published: (2026)

Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search
by: Shen, Maohao, et al.
Published: (2025)

Draft-Thinking: Learning Efficient Reasoning in Long Chain-of-Thought LLMs
by: Cao, Jie, et al.
Published: (2026)

ConMax: Confidence-Maximizing Compression for Efficient Chain-of-Thought Reasoning
by: Hu, Minda, et al.
Published: (2026)

DRT: Deep Reasoning Translation via Long Chain-of-Thought
by: Wang, Jiaan, et al.
Published: (2024)

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

Value-Guided Search for Efficient Chain-of-Thought Reasoning
by: Wang, Kaiwen, et al.
Published: (2025)

Stepwise Penalization for Length-Efficient Chain-of-Thought Reasoning
by: Li, Xintong, et al.
Published: (2026)

Scalable Chain of Thoughts via Elastic Reasoning
by: Xu, Yuhui, et al.
Published: (2025)

DICE: Structured Reasoning in LLMs through SLM-Guided Chain-of-Thought Correction
by: Li, Yiqi, 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)

Answering Questions by Meta-Reasoning over Multiple Chains of Thought
by: Yoran, Ori, et al.
Published: (2023)

CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning
by: Zhu, Wenqiao, et al.
Published: (2025)

CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AI
by: Zipperling, Domenique, et al.
Published: (2024)

SAFEPATH: Preventing Harmful Reasoning in Chain-of-Thought via Early Alignment
by: Jeung, Wonje, et al.
Published: (2025)

GRACE: Discriminator-Guided Chain-of-Thought Reasoning
by: Khalifa, Muhammad, et al.
Published: (2023)

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

Not All Thoughts are Generated Equal: Efficient LLM Reasoning via Multi-Turn Reinforcement Learning
by: Ning, Yansong, et al.
Published: (2025)

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

C2-Faith: Benchmarking LLM Judges for Causal and Coverage Faithfulness in Chain-of-Thought Reasoning
by: Mittal, Avni, et al.
Published: (2026)

Mitigating Misleading Chain-of-Thought Reasoning with Selective Filtering
by: Wu, Yexin, et al.
Published: (2024)

To Reason or Not to: Selective Chain-of-Thought in Medical Question Answering
by: Zhan, Zaifu, et al.
Published: (2026)

Chain of Summaries: Summarization Through Iterative Questioning
by: Brach, William, et al.
Published: (2025)

Lie to Me: How Faithful Is Chain-of-Thought Reasoning in Reasoning Models?
by: Young, Richard J.
Published: (2026)