Copertina

Division-of-Thoughts: Harnessing Hybrid Language Model Synergy for Efficient On-Device Agents

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Shao, Chenyang, Hu, Xinyuan, Lin, Yutang, Xu, Fengli
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Route-and-Reason: Scaling Large Language Model Reasoning with Reinforced Model Router
di: Shao, Chenyang, et al.
Pubblicazione: (2025)

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

AgentStealth: Reinforcing Large Language Model for Anonymizing User-generated Text
di: Shao, Chenyang, et al.
Pubblicazione: (2025)

Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models
di: Liu, Peijie, et al.
Pubblicazione: (2025)

Diffuse Thinking: Exploring Diffusion Language Models as Efficient Thought Proposers for Reasoning
di: Shao, Chenyang, et al.
Pubblicazione: (2025)

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

Natural-Language Agent Harnesses
di: Pan, Linyue, et al.
Pubblicazione: (2026)

Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs
di: Sun, Chenxi, et al.
Pubblicazione: (2024)

Code as Agent Harness
di: Ning, Xuying, et al.
Pubblicazione: (2026)

HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction
di: Hao, Qianyue, et al.
Pubblicazione: (2024)

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

Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models
di: Liu, Yule, et al.
Pubblicazione: (2025)

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

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

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

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

dInfer: An Efficient Inference Framework for Diffusion Language Models
di: Ma, Yuxin, et al.
Pubblicazione: (2025)

Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models
di: Abdaljalil, Samir, et al.
Pubblicazione: (2025)

Modeling Language as a Sequence of Thoughts
di: Borazjanizadeh, Nasim, et al.
Pubblicazione: (2025)

UserHarness: Harnessing User Minds for Stronger Agent Theory-of-Mind
di: Qian, Cheng, et al.
Pubblicazione: (2026)

SciNet: Evaluating AI Agents in Relation-Aware Scientific Literature Retrieval
di: Shao, Chenyang, et al.
Pubblicazione: (2025)

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

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

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

Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment
di: Liu, Zhili, et al.
Pubblicazione: (2024)

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

Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation
di: Ning, Xuefei, et al.
Pubblicazione: (2023)

Harnessing Chain-of-Thought Metadata for Task Routing and Adversarial Prompt Detection
di: Marinelli, Ryan, et al.
Pubblicazione: (2025)

Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration
di: Wang, Zhenhailong, et al.
Pubblicazione: (2023)

Efficient Post-Training Refinement of Latent Reasoning in Large Language Models
di: Wang, Xinyuan, et al.
Pubblicazione: (2025)

HybridQuestion: Human-AI Collaboration for Identifying High-Impact Research Questions
di: Zhao, Keyu, et al.
Pubblicazione: (2025)

Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses
di: Jiang, Pengcheng, et al.
Pubblicazione: (2026)

HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model
di: Hu, Mengkang, et al.
Pubblicazione: (2024)

Uncovering Latent Chain of Thought Vectors in Language Models
di: Zhang, Jason, et al.
Pubblicazione: (2024)

Abstraction-of-Thought Makes Language Models Better Reasoners
di: Hong, Ruixin, et al.
Pubblicazione: (2024)

Personal Intelligence System UniLM: Hybrid On-Device Small Language Model and Server-Based Large Language Model for Malay Nusantara
di: Nazri, Azree, et al.
Pubblicazione: (2024)

A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science
di: Feng, Jie, et al.
Pubblicazione: (2025)

Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought
di: Li, Bowen, et al.
Pubblicazione: (2026)

The Emergence of Abstract Thought in Large Language Models Beyond Any Language
di: Chen, Yuxin, et al.
Pubblicazione: (2025)

Harnessing Large Language Models for Biomedical Named Entity Recognition
di: Chen, Jian, et al.
Pubblicazione: (2025)