ORACLE: Optimizing Reasoning Abilities of Large Language Models via Constraint-Led Synthetic Data Elicitation
Fuente:
arXiv
Guardado en:
| Autores principales: | Yang, Zhuojie, Wan, Wentao, Wang, Keze |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks
por: Wan, Wentao, et al.
Publicado: (2025)
por: Wan, Wentao, et al.
Publicado: (2025)
A Stepwise Distillation Learning Strategy for Non-differentiable Visual Programming Frameworks on Visual Reasoning Tasks
por: Wan, Wentao, et al.
Publicado: (2023)
por: Wan, Wentao, et al.
Publicado: (2023)
Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
por: Wang, Yajing, et al.
Publicado: (2024)
por: Wang, Yajing, et al.
Publicado: (2024)
Backward-Friendly Optimization: Training Large Language Models with Approximate Gradients under Memory Constraints
por: Yang, Jing, et al.
Publicado: (2025)
por: Yang, Jing, et al.
Publicado: (2025)
Massive Editing for Large Language Models Based on Dynamic Weight Generation
por: Wan, Wentao, et al.
Publicado: (2025)
por: Wan, Wentao, et al.
Publicado: (2025)
Large Language Models as Discounted Bayesian Filters
por: Zhang, Jensen, et al.
Publicado: (2025)
por: Zhang, Jensen, et al.
Publicado: (2025)
Reflective Confidence: Correcting Reasoning Flaws via Online Self-Correction
por: Zeng, Qinglin, et al.
Publicado: (2025)
por: Zeng, Qinglin, et al.
Publicado: (2025)
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models
por: Wang, Zekun Moore, et al.
Publicado: (2023)
por: Wang, Zekun Moore, et al.
Publicado: (2023)
Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization
por: Liu, Jiacai, et al.
Publicado: (2024)
por: Liu, Jiacai, et al.
Publicado: (2024)
Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B
por: Xu, Sen, et al.
Publicado: (2025)
por: Xu, Sen, et al.
Publicado: (2025)
Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning
por: Wang, Yiqi, et al.
Publicado: (2024)
por: Wang, Yiqi, et al.
Publicado: (2024)
Self-Training Elicits Concise Reasoning in Large Language Models
por: Munkhbat, Tergel, et al.
Publicado: (2025)
por: Munkhbat, Tergel, et al.
Publicado: (2025)
GTMA: Dynamic Representation Optimization for OOD Vision-Language Models
por: Zhang, Jensen, et al.
Publicado: (2025)
por: Zhang, Jensen, et al.
Publicado: (2025)
KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems
por: Zhang, Jusheng, et al.
Publicado: (2025)
por: Zhang, Jusheng, et al.
Publicado: (2025)
Can Large Language Models Reason and Optimize Under Constraints?
por: Bernier, Fabien, et al.
Publicado: (2026)
por: Bernier, Fabien, et al.
Publicado: (2026)
A Scalable Curiosity-Driven Game-Theoretic Framework for Long-Tail Multi-Label Learning in Data Mining
por: Yang, Jing, et al.
Publicado: (2026)
por: Yang, Jing, et al.
Publicado: (2026)
LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning
por: Li, Jiachun, et al.
Publicado: (2024)
por: Li, Jiachun, et al.
Publicado: (2024)
Evaluating the Logical Reasoning Abilities of Large Reasoning Models
por: Liu, Hanmeng, et al.
Publicado: (2025)
por: Liu, Hanmeng, et al.
Publicado: (2025)
Reasoning Elicitation in Language Models via Counterfactual Feedback
por: Hüyük, Alihan, et al.
Publicado: (2024)
por: Hüyük, Alihan, et al.
Publicado: (2024)
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models
por: Wan, Yuxuan, et al.
Publicado: (2024)
por: Wan, Yuxuan, et al.
Publicado: (2024)
A Survey on Enhancing Causal Reasoning Ability of Large Language Models
por: Li, Xin, et al.
Publicado: (2025)
por: Li, Xin, et al.
Publicado: (2025)
MatSciBench: Benchmarking the Reasoning Ability of Large Language Models in Materials Science
por: Zhang, Junkai, et al.
Publicado: (2025)
por: Zhang, Junkai, et al.
Publicado: (2025)
Eliciting Reasoning in Language Models with Cognitive Tools
por: Ebouky, Brown, et al.
Publicado: (2025)
por: Ebouky, Brown, et al.
Publicado: (2025)
Enhancing Advanced Visual Reasoning Ability of Large Language Models
por: Li, Zhiyuan, et al.
Publicado: (2024)
por: Li, Zhiyuan, et al.
Publicado: (2024)
Large Language Models in Numberland: A Quick Test of Their Numerical Reasoning Abilities
por: Rahman, Roussel
Publicado: (2025)
por: Rahman, Roussel
Publicado: (2025)
NP-Engine: Empowering Optimization Reasoning in Large Language Models with Verifiable Synthetic NP Problems
por: Li, Xiaozhe, et al.
Publicado: (2025)
por: Li, Xiaozhe, et al.
Publicado: (2025)
$T^2$ of Thoughts: Temperature Tree Elicits Reasoning in Large Language Models
por: Cai, Chengkun, et al.
Publicado: (2024)
por: Cai, Chengkun, et al.
Publicado: (2024)
Graph Elicitation for Guiding Multi-Step Reasoning in Large Language Models
por: Park, Jinyoung, et al.
Publicado: (2023)
por: Park, Jinyoung, et al.
Publicado: (2023)
Agent-GSPO: Communication-Efficient Multi-Agent Systems via Group Sequence Policy Optimization
por: Fan, Yijia, et al.
Publicado: (2025)
por: Fan, Yijia, et al.
Publicado: (2025)
GraphScout: Empowering Large Language Models with Intrinsic Exploration Ability for Agentic Graph Reasoning
por: Ying, Yuchen, et al.
Publicado: (2026)
por: Ying, Yuchen, et al.
Publicado: (2026)
Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models
por: Yang, Xiao-Wen, et al.
Publicado: (2025)
por: Yang, Xiao-Wen, et al.
Publicado: (2025)
LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models
por: Gui, Jiayi, et al.
Publicado: (2024)
por: Gui, Jiayi, et al.
Publicado: (2024)
Synthetic Error Injection Fails to Elicit Self-Correction In Language Models
por: Wu, David X., et al.
Publicado: (2025)
por: Wu, David X., et al.
Publicado: (2025)
Eliciting Critical Reasoning in Retrieval-Augmented Language Models via Contrastive Explanations
por: Ranaldi, Leonardo, et al.
Publicado: (2024)
por: Ranaldi, Leonardo, et al.
Publicado: (2024)
Benchmarking Reasoning Robustness in Large Language Models
por: Yu, Tong, et al.
Publicado: (2025)
por: Yu, Tong, et al.
Publicado: (2025)
Reasoning Can Hurt the Inductive Abilities of Large Language Models
por: Jin, Haibo, et al.
Publicado: (2025)
por: Jin, Haibo, et al.
Publicado: (2025)
Eliciting Trustworthiness Priors of Large Language Models via Economic Games
por: Yan, Siyu, et al.
Publicado: (2026)
por: Yan, Siyu, et al.
Publicado: (2026)
Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models
por: Ren, Qingyu, et al.
Publicado: (2025)
por: Ren, Qingyu, et al.
Publicado: (2025)
Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data
por: Wen, Xin-Cheng, et al.
Publicado: (2025)
por: Wen, Xin-Cheng, et al.
Publicado: (2025)
Eliciting Personality Traits in Large Language Models
por: Hilliard, Airlie, et al.
Publicado: (2024)
por: Hilliard, Airlie, et al.
Publicado: (2024)
Ejemplares similares
-
SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks
por: Wan, Wentao, et al.
Publicado: (2025) -
A Stepwise Distillation Learning Strategy for Non-differentiable Visual Programming Frameworks on Visual Reasoning Tasks
por: Wan, Wentao, et al.
Publicado: (2023) -
Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
por: Wang, Yajing, et al.
Publicado: (2024) -
Backward-Friendly Optimization: Training Large Language Models with Approximate Gradients under Memory Constraints
por: Yang, Jing, et al.
Publicado: (2025) -
Massive Editing for Large Language Models Based on Dynamic Weight Generation
por: Wan, Wentao, et al.
Publicado: (2025)