Cover Image

R-Capsule: Compressing High-Level Plans for Efficient Large Language Model Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shan, Hongyu, Song, Mingyang, Dai, Chang, Liang, Di, Chen, Han
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

HoPE: Hyperbolic Rotary Positional Encoding for Stable Long-Range Dependency Modeling in Large Language Models
by: Dai, Chang, et al.
Published: (2025)

Optimizing Length Compression in Large Reasoning Models
by: Cheng, Zhengxiang, et al.
Published: (2025)

iCLP: Large Language Model Reasoning with Implicit Cognition Latent Planning
by: Chen, Sijia, et al.
Published: (2025)

EmoLLM: Appraisal-Grounded Cognitive-Emotional Co-Reasoning in Large Language Models
by: Zhang, Yifei, et al.
Published: (2026)

Plan Then Action:High-Level Planning Guidance Reinforcement Learning for LLM Reasoning
by: Dou, Zhihao, et al.
Published: (2025)

When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Models
by: Wang, Weilan, et al.
Published: (2025)

Large Language Models are Contrastive Reasoners
by: Yao, Liang
Published: (2024)

Large Language Model Reasoning Failures
by: Song, Peiyang, et al.
Published: (2026)

METER: Evaluating Multi-Level Contextual Causal Reasoning in Large Language Models
by: Li, Pengfeng, et al.
Published: (2026)

Non-myopic Generation of Language Models for Reasoning and Planning
by: Ma, Chang, et al.
Published: (2024)

Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling
by: Yao, Yuxuan, et al.
Published: (2024)

OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models
by: Wang, Jun, et al.
Published: (2024)

Revisiting Catastrophic Forgetting in Large Language Model Tuning
by: Li, Hongyu, et al.
Published: (2024)

Efficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection Suppression
by: Huang, Jiameng, et al.
Published: (2025)

Dynamic Compressing Prompts for Efficient Inference of Large Language Models
by: Hu, Jinwu, et al.
Published: (2025)

LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
by: Yang, Ge, et al.
Published: (2024)

R-KV: Redundancy-aware KV Cache Compression for Reasoning Models
by: Cai, Zefan, et al.
Published: (2025)

Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models
by: Wang, Rui, et al.
Published: (2025)

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey
by: Zhu, Jason, et al.
Published: (2025)

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

Revisiting the Graph Reasoning Ability of Large Language Models: Case Studies in Translation, Connectivity and Shortest Path
by: Dai, Xinnan, et al.
Published: (2024)

Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
by: Wang, Junjie, et al.
Published: (2024)

ARS: Adaptive Reasoning Suppression for Efficient Large Reasoning Language Models
by: Zheng, Dongqi
Published: (2025)

SpeechR: A Benchmark for Speech Reasoning in Large Audio-Language Models
by: Yang, Wanqi, et al.
Published: (2025)

Cooperative Strategic Planning Enhances Reasoning Capabilities in Large Language Models
by: Wang, Danqing, et al.
Published: (2024)

Can Large Language Models Reason and Plan?
by: Kambhampati, Subbarao
Published: (2024)

Reasoning in Action: MCTS-Driven Knowledge Retrieval for Large Language Models
by: Liu, Shuqi, et al.
Published: (2025)

Query-Efficient Planning with Language Models
by: Gonzalez-Pumariega, Gonzalo, et al.
Published: (2024)

K-Level Reasoning: Establishing Higher Order Beliefs in Large Language Models for Strategic Reasoning
by: Zhang, Yadong, et al.
Published: (2024)

Plato: Plan to Efficiently Decode for Large Language Model Inference
by: Jin, Shuowei, et al.
Published: (2024)

FedCoT: Communication-Efficient Federated Reasoning Enhancement for Large Language Models
by: Li, Chuan, et al.
Published: (2025)

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

Executing Natural Language-Described Algorithms with Large Language Models: An Investigation
by: Zheng, Xin, et al.
Published: (2024)

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning
by: Zhang, Tunyu, et al.
Published: (2025)

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

ERC-SVD: Error-Controlled SVD for Large Language Model Compression
by: Bai, Haolei, et al.
Published: (2025)

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

SeLaR: Selective Latent Reasoning in Large Language Models
by: Fu, Renyu, et al.
Published: (2026)

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

Concise and Organized Perception Facilitates Reasoning in Large Language Models
by: Liu, Junjie, et al.
Published: (2023)