Saved in:
| Main Authors: | Yu, Huimu, Wu, Xing, Xu, Haotian, Zhang, Debing, Hu, Songlin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.02229 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions
by: Gao, Chaochen, et al.
Published: (2025)
by: Gao, Chaochen, et al.
Published: (2025)
NExtLong: Toward Effective Long-Context Training without Long Documents
by: Gao, Chaochen, et al.
Published: (2025)
by: Gao, Chaochen, et al.
Published: (2025)
Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model
by: Gao, Chaochen, et al.
Published: (2024)
by: Gao, Chaochen, et al.
Published: (2024)
LongBench Pro: A More Realistic and Comprehensive Bilingual Long-Context Evaluation Benchmark
by: Chen, Ziyang, et al.
Published: (2026)
by: Chen, Ziyang, et al.
Published: (2026)
EntropyLong: Effective Long-Context Training via Predictive Uncertainty
by: Jia, Junlong, et al.
Published: (2025)
by: Jia, Junlong, et al.
Published: (2025)
Libra: Large Chinese-based Safeguard for AI Content
by: Chen, Ziyang, et al.
Published: (2025)
by: Chen, Ziyang, et al.
Published: (2025)
CCI4.0: A Bilingual Pretraining Dataset for Enhancing Reasoning in Large Language Models
by: Liu, Guang, et al.
Published: (2025)
by: Liu, Guang, et al.
Published: (2025)
Aligning Large Language Models with Searcher Preferences
by: Wu, Wei, et al.
Published: (2026)
by: Wu, Wei, et al.
Published: (2026)
Disentangling Reasoning and Knowledge in Medical Large Language Models
by: Thapa, Rahul, et al.
Published: (2025)
by: Thapa, Rahul, et al.
Published: (2025)
Coupled Variational Reinforcement Learning for Language Model General Reasoning
by: Wen, Xueru, et al.
Published: (2025)
by: Wen, Xueru, et al.
Published: (2025)
MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning
by: Shi, Wenqi, et al.
Published: (2024)
by: Shi, Wenqi, et al.
Published: (2024)
To Think or Not To Think, That is The Question for Large Reasoning Models in Theory of Mind Tasks
by: Gong, Nanxu, et al.
Published: (2026)
by: Gong, Nanxu, et al.
Published: (2026)
Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media
by: Li, Kun, et al.
Published: (2024)
by: Li, Kun, et al.
Published: (2024)
AgentAlign: Navigating Safety Alignment in the Shift from Informative to Agentic Large Language Models
by: Zhang, Jinchuan, et al.
Published: (2025)
by: Zhang, Jinchuan, et al.
Published: (2025)
Large Language Models Could Be Rote Learners
by: Xu, Yuyang, et al.
Published: (2025)
by: Xu, Yuyang, et al.
Published: (2025)
RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?
by: Xu, Haotian, et al.
Published: (2025)
by: Xu, Haotian, et al.
Published: (2025)
DynaCode: A Dynamic Complexity-Aware Code Benchmark for Evaluating Large Language Models in Code Generation
by: Hu, Wenhao, et al.
Published: (2025)
by: Hu, Wenhao, et al.
Published: (2025)
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records
by: Shi, Wenqi, et al.
Published: (2024)
by: Shi, Wenqi, et al.
Published: (2024)
Scalable Oversight for Superhuman AI via Recursive Self-Critiquing
by: Wen, Xueru, et al.
Published: (2025)
by: Wen, Xueru, et al.
Published: (2025)
TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models
by: Chu, Zheng, et al.
Published: (2023)
by: Chu, Zheng, et al.
Published: (2023)
Code-driven Number Sequence Calculation: Enhancing the inductive Reasoning Abilities of Large Language Models
by: Chen, Kedi, et al.
Published: (2025)
by: Chen, Kedi, et al.
Published: (2025)
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
by: Xu, Fengli, et al.
Published: (2025)
by: Xu, Fengli, et al.
Published: (2025)
A Survey on Large Language Models for Mathematical Reasoning
by: Wang, Peng-Yuan, et al.
Published: (2025)
by: Wang, Peng-Yuan, et al.
Published: (2025)
Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models
by: Tian, Junfeng, et al.
Published: (2024)
by: Tian, Junfeng, et al.
Published: (2024)
CodeMind: Evaluating Large Language Models for Code Reasoning
by: Liu, Changshu, et al.
Published: (2024)
by: Liu, Changshu, et al.
Published: (2024)
PediaMind-R1: A Temperament-Aware Language Model for Personalized Early Childhood Care Reasoning via Cognitive Modeling and Preference Alignment
by: Zhang, Zihe, et al.
Published: (2025)
by: Zhang, Zihe, et al.
Published: (2025)
Code Pretraining Improves Entity Tracking Abilities of Language Models
by: Kim, Najoung, et al.
Published: (2024)
by: Kim, Najoung, et al.
Published: (2024)
LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models
by: Hao, Shibo, et al.
Published: (2024)
by: Hao, Shibo, et al.
Published: (2024)
Mixture of Reasonings: Teach Large Language Models to Reason with Adaptive Strategies
by: Xiong, Tao, et al.
Published: (2025)
by: Xiong, Tao, et al.
Published: (2025)
Improving Attributed Text Generation of Large Language Models via Preference Learning
by: Li, Dongfang, et al.
Published: (2024)
by: Li, Dongfang, et al.
Published: (2024)
MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining
by: Xiaomi, LLM-Core, et al.
Published: (2025)
by: Xiaomi, LLM-Core, et al.
Published: (2025)
Parrot Mind: Towards Explaining the Complex Task Reasoning of Pretrained Large Language Models with Template-Content Structure
by: Yang, Haotong, et al.
Published: (2023)
by: Yang, Haotong, et al.
Published: (2023)
Pandora: A Code-Driven Large Language Model Agent for Unified Reasoning Across Diverse Structured Knowledge
by: Chen, Yongrui, et al.
Published: (2025)
by: Chen, Yongrui, et al.
Published: (2025)
Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up
by: Yuan, Jiahao, et al.
Published: (2024)
by: Yuan, Jiahao, et al.
Published: (2024)
Who Reasons in the Large Language Models?
by: Shao, Jie, et al.
Published: (2025)
by: Shao, Jie, et al.
Published: (2025)
Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data
by: Zhang, Xuemiao, et al.
Published: (2025)
by: Zhang, Xuemiao, et al.
Published: (2025)
MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models
by: Li, Jiazheng, et al.
Published: (2025)
by: Li, Jiazheng, et al.
Published: (2025)
LiteLong: Resource-Efficient Long-Context Data Synthesis for LLMs
by: Jia, Junlong, et al.
Published: (2025)
by: Jia, Junlong, et al.
Published: (2025)
Can Large Language Models do Analytical Reasoning?
by: Hu, Yebowen, et al.
Published: (2024)
by: Hu, Yebowen, et al.
Published: (2024)
Large Language Models as Code Executors: An Exploratory Study
by: Lyu, Chenyang, et al.
Published: (2024)
by: Lyu, Chenyang, et al.
Published: (2024)
Similar Items
-
LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions
by: Gao, Chaochen, et al.
Published: (2025) -
NExtLong: Toward Effective Long-Context Training without Long Documents
by: Gao, Chaochen, et al.
Published: (2025) -
Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model
by: Gao, Chaochen, et al.
Published: (2024) -
LongBench Pro: A More Realistic and Comprehensive Bilingual Long-Context Evaluation Benchmark
by: Chen, Ziyang, et al.
Published: (2026) -
EntropyLong: Effective Long-Context Training via Predictive Uncertainty
by: Jia, Junlong, et al.
Published: (2025)