Copertina

TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Danqing, Ma, Jianxin, Fang, Fei, Li, Lei
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

StreamingThinker: Large Language Models Can Think While Reading
di: Tong, Junlong, et al.
Pubblicazione: (2025)

SmartThinker: Progressive Chain-of-Thought Length Calibration for Efficient Large Language Model Reasoning
di: Hu, Chenzhi, et al.
Pubblicazione: (2026)

KAG-Thinker: Interactive Thinking and Deep Reasoning in LLMs via Knowledge-Augmented Generation
di: Zhang, Dalong, et al.
Pubblicazione: (2025)

Who Reasons in the Large Language Models?
di: Shao, Jie, et al.
Pubblicazione: (2025)

SituatedThinker: Grounding LLM Reasoning with Real-World through Situated Thinking
di: Liu, Junnan, et al.
Pubblicazione: (2025)

Global-Recent Semantic Reasoning on Dynamic Text-Attributed Graphs with Large Language Models
di: Wang, Yunan, et al.
Pubblicazione: (2025)

Identifying Knowledge Editing Types in Large Language Models
di: Li, Xiaopeng, et al.
Pubblicazione: (2024)

Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers
di: Green, Tommaso, et al.
Pubblicazione: (2025)

Strategic Planning and Rationalizing on Trees Make LLMs Better Debaters
di: Wang, Danqing, et al.
Pubblicazione: (2025)

TRIDENT: Enhancing Large Language Model Safety with Tri-Dimensional Diversified Red-Teaming Data Synthesis
di: Wu, Xiaorui, et al.
Pubblicazione: (2025)

Audio-Thinker: Guiding Audio Language Model When and How to Think via Reinforcement Learning
di: Wu, Shu, et al.
Pubblicazione: (2025)

WebThinker: Empowering Large Reasoning Models with Deep Research Capability
di: Li, Xiaoxi, et al.
Pubblicazione: (2025)

Benchmarking Large Language Models on Controllable Generation under Diversified Instructions
di: Chen, Yihan, et al.
Pubblicazione: (2024)

ThinkDial: An Open Recipe for Controlling Reasoning Effort in Large Language Models
di: He, Qianyu, et al.
Pubblicazione: (2025)

Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking Through Options
di: Nair, Lakshmi, et al.
Pubblicazione: (2025)

Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction
di: Xu, Jun, et al.
Pubblicazione: (2025)

Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking
di: Xu, Nan, et al.
Pubblicazione: (2023)

MixReasoning: Switching Modes to Think
di: Lu, Haiquan, et al.
Pubblicazione: (2025)

Could Thinking Multilingually Empower LLM Reasoning?
di: Gao, Changjiang, et al.
Pubblicazione: (2025)

Audio-DeepThinker: Progressive Reasoning-Aware Reinforcement Learning for High-Quality Chain-of-Thought Emergence in Audio Language Models
di: He, Xiang, et al.
Pubblicazione: (2026)

High-Fidelity Pruning for Large Language Models
di: Zhu, Yijun, et al.
Pubblicazione: (2026)

Predicting Lung Cancer Patient Prognosis with Large Language Models
di: Hu, Danqing, et al.
Pubblicazione: (2024)

Taming the Thinker: Conditional Entropy Shaping for Adaptive LLM Reasoning
di: Wei, Shuyu, et al.
Pubblicazione: (2026)

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
di: Sun, Jiashuo, et al.
Pubblicazione: (2023)

Knowledge Vector of Logical Reasoning in Large Language Models
di: Wang, Zixuan, et al.
Pubblicazione: (2026)

Fast Thinking for Large Language Models
di: Zheng, Haoyu, et al.
Pubblicazione: (2025)

Distilling Reasoning Ability from Large Language Models with Adaptive Thinking
di: Chen, Xiaoshu, et al.
Pubblicazione: (2024)

Think Only When You Need with Large Hybrid-Reasoning Models
di: Jiang, Lingjie, et al.
Pubblicazione: (2025)

Can Multimodal Large Language Model Think Analogically?
di: Guo, Diandian, et al.
Pubblicazione: (2024)

Synthetic Data Generation for Training Diversified Commonsense Reasoning Models
di: Zhang, Tianhui, et al.
Pubblicazione: (2026)

Thinking with Sound: Audio Chain-of-Thought Enables Multimodal Reasoning in Large Audio-Language Models
di: Xiong, Zhen, et al.
Pubblicazione: (2025)

Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
di: Cheng, Xiaoxue, et al.
Pubblicazione: (2025)

CRAB-Bench: Evaluating LLM Agents under Complex Task Dependencies and Human-aligned User Simulation
di: Wang, Danqing, et al.
Pubblicazione: (2026)

LightThinker: Thinking Step-by-Step Compression
di: Zhang, Jintian, et al.
Pubblicazione: (2025)

Think$^{2}$: Grounded Metacognitive Reasoning in Large Language Models
di: Elenjical, Abraham Paul, et al.
Pubblicazione: (2026)

To Think or Not To Think, That is The Question for Large Reasoning Models in Theory of Mind Tasks
di: Gong, Nanxu, et al.
Pubblicazione: (2026)

Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning
di: Wang, Jianing, et al.
Pubblicazione: (2025)

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning
di: Ye, Ziang, et al.
Pubblicazione: (2024)

MM-THEBench: Do Reasoning MLLMs Think Reasonably?
di: Huang, Zhidian, et al.
Pubblicazione: (2026)