Buchumschlag

Structured Reasoning for Large Language Models

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Han, Jinyi, Di, Zixiang, Jiang, Zishang, Liao, Ying, Liang, Jiaqing, Wang, Yongqi, Xiao, Yanghua
Format:	Preprint
Veröffentlicht:	2026
Schlagworte:	Computation and Language
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Your Models Have Thought Enough: Training Large Reasoning Models to Stop Overthinking
von: Han, Jinyi, et al.
Veröffentlicht: (2025)

A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models
von: Han, Jinyi, et al.
Veröffentlicht: (2025)

HINT: Helping Ineffective Rollouts Navigate Towards Effectiveness
von: Wang, Xinyi, et al.
Veröffentlicht: (2025)

Selective Expert Guidance for Effective and Diverse Exploration in Reinforcement Learning of LLMs
von: Jiang, Zishang, et al.
Veröffentlicht: (2025)

Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding
von: Li, Yanda, et al.
Veröffentlicht: (2024)

Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension Perception
von: Huang, Yuncheng, et al.
Veröffentlicht: (2023)

Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs
von: Zhang, Yifei, et al.
Veröffentlicht: (2024)

Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction
von: Ding, Zepeng, et al.
Veröffentlicht: (2024)

From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models
von: He, Qianyu, et al.
Veröffentlicht: (2024)

Small Language Model Can Self-correct
von: Han, Haixia, et al.
Veröffentlicht: (2024)

Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models
von: Du, Chengyu, et al.
Veröffentlicht: (2024)

GenericAgent: A Token-Efficient Self-Evolving LLM Agent via Contextual Information Density Maximization (V1.0)
von: Liang, Jiaqing, et al.
Veröffentlicht: (2026)

ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base
von: Yuan, Siyu, et al.
Veröffentlicht: (2023)

CEM: A Data-Efficient Method for Large Language Models to Continue Evolving From Mistakes
von: Zhao, Haokun, et al.
Veröffentlicht: (2024)

ConcEPT: Concept-Enhanced Pre-Training for Language Models
von: Wang, Xintao, et al.
Veröffentlicht: (2024)

Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience
von: Han, Haixia, et al.
Veröffentlicht: (2024)

Teaching Large Language Models to Express Knowledge Boundary from Their Own Signals
von: Chen, Lida, et al.
Veröffentlicht: (2024)

SED: Self-Evaluation Decoding Enhances Large Language Models for Better Generation
von: Luo, Ziqin, et al.
Veröffentlicht: (2024)

MultiLingPoT: Enhancing Mathematical Reasoning with Multilingual Program Fine-tuning
von: Li, Nianqi, et al.
Veröffentlicht: (2024)

Do Large Language Models Truly Understand Cross-cultural Differences?
von: Guo, Shiwei, et al.
Veröffentlicht: (2025)

QUILL: Quotation Generation Enhancement of Large Language Models
von: Xiao, Jin, et al.
Veröffentlicht: (2024)

Past Meets Present: Creating Historical Analogy with Large Language Models
von: Li, Nianqi, et al.
Veröffentlicht: (2024)

Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?
von: Chen, Yuyan, et al.
Veröffentlicht: (2024)

Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language Models
von: Zhang, Yikai, et al.
Veröffentlicht: (2024)

Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases
von: Huang, Wenhao, et al.
Veröffentlicht: (2024)

Can Pre-trained Language Models Understand Chinese Humor?
von: Chen, Yuyan, et al.
Veröffentlicht: (2024)

Laying the Foundation First? Investigating the Generalization from Atomic Skills to Complex Reasoning Tasks
von: Huang, Yuncheng, et al.
Veröffentlicht: (2024)

Capturing Minds, Not Just Words: Enhancing Role-Playing Language Models with Personality-Indicative Data
von: Ran, Yiting, et al.
Veröffentlicht: (2024)

Recent Advancement of Emotion Cognition in Large Language Models
von: Chen, Yuyan, et al.
Veröffentlicht: (2024)

Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models
von: Ren, Qingyu, et al.
Veröffentlicht: (2025)

StrucText-Eval: Evaluating Large Language Model's Reasoning Ability in Structure-Rich Text
von: Gu, Zhouhong, et al.
Veröffentlicht: (2024)

Adaptive Ordered Information Extraction with Deep Reinforcement Learning
von: Huang, Wenhao, et al.
Veröffentlicht: (2023)

Order Doesn't Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation
von: He, Qianxi, et al.
Veröffentlicht: (2025)

BookWorld: From Novels to Interactive Agent Societies for Creative Story Generation
von: Ran, Yiting, et al.
Veröffentlicht: (2025)

Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up
von: Yuan, Jiahao, et al.
Veröffentlicht: (2024)

Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation
von: Han, Jinyi, et al.
Veröffentlicht: (2025)

RECKON: Large-scale Reference-based Efficient Knowledge Evaluation for Large Language Model
von: Zhang, Lin, et al.
Veröffentlicht: (2025)

Structured In-context Environment Scaling for Large Language Model Reasoning
von: Yu, Peng, et al.
Veröffentlicht: (2025)

Why Did Apple Fall: Evaluating Curiosity in Large Language Models
von: Wang, Haoyu, et al.
Veröffentlicht: (2025)

SEGMENT+: Long Text Processing with Short-Context Language Models
von: Shi, Wei, et al.
Veröffentlicht: (2024)