Saved in:
| Main Authors: | Zhong, Ziqi, Tang, Xunzhu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.22865 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models
by: Peng, Shuai, et al.
Published: (2024)
by: Peng, Shuai, et al.
Published: (2024)
OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models
by: Wang, Jun, et al.
Published: (2024)
by: Wang, Jun, et al.
Published: (2024)
Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning
by: Pawar, Pranav, et al.
Published: (2025)
by: Pawar, Pranav, et al.
Published: (2025)
Reasoning Transfer for an Extremely Low-Resource and Endangered Language: Bridging Languages Through Sample-Efficient Language Understanding
by: Tran, Khanh-Tung, et al.
Published: (2025)
by: Tran, Khanh-Tung, et al.
Published: (2025)
Boosting Open-Source LLMs for Program Repair via Reasoning Transfer and LLM-Guided Reinforcement Learning
by: Tang, Xunzhu, et al.
Published: (2025)
by: Tang, Xunzhu, et al.
Published: (2025)
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models
by: Islam, Shayekh Bin, et al.
Published: (2024)
by: Islam, Shayekh Bin, et al.
Published: (2024)
Efficient Long CoT Reasoning in Small Language Models
by: Wang, Zhaoyang, et al.
Published: (2025)
by: Wang, Zhaoyang, et al.
Published: (2025)
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning
by: Kim, Joongwon, et al.
Published: (2024)
by: Kim, Joongwon, et al.
Published: (2024)
ARS: Adaptive Reasoning Suppression for Efficient Large Reasoning Language Models
by: Zheng, Dongqi
Published: (2025)
by: Zheng, Dongqi
Published: (2025)
Closing Reasoning Gaps in Clinical Agents with Differential Reasoning Learning
by: Liu, Jinsong, et al.
Published: (2026)
by: Liu, Jinsong, et al.
Published: (2026)
Reinforcement Learning-Guided Chain-of-Draft for Token-Efficient Code Generation
by: Tang, Xunzhu, et al.
Published: (2025)
by: Tang, Xunzhu, et al.
Published: (2025)
Seeing with You: Perception-Reasoning Coevolution for Multimodal Reasoning
by: Miao, Ziqi, et al.
Published: (2026)
by: Miao, Ziqi, et al.
Published: (2026)
Faithful or Just Plausible? Evaluating the Faithfulness of Closed-Source LLMs in Medical Reasoning
by: Afolabi, Halimat, et al.
Published: (2026)
by: Afolabi, Halimat, et al.
Published: (2026)
Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
by: Cheng, Xiaoxue, et al.
Published: (2025)
by: Cheng, Xiaoxue, et al.
Published: (2025)
Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models
by: Wang, Rui, et al.
Published: (2025)
by: Wang, Rui, et al.
Published: (2025)
Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning
by: Wu, Ruiqi, et al.
Published: (2025)
by: Wu, Ruiqi, et al.
Published: (2025)
Parallel Thinking, Sequential Answering: Bridging NAR and AR for Efficient Reasoning
by: Ai, Qihang, et al.
Published: (2025)
by: Ai, Qihang, et al.
Published: (2025)
Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and English
by: Anand, Avinash, et al.
Published: (2024)
by: Anand, Avinash, et al.
Published: (2024)
VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization
by: Zhu, Dongsheng, et al.
Published: (2024)
by: Zhu, Dongsheng, et al.
Published: (2024)
Adaptive Dual Reasoner: Large Reasoning Models Can Think Efficiently by Hybrid Reasoning
by: Zhang, Yujian, et al.
Published: (2025)
by: Zhang, Yujian, et al.
Published: (2025)
FEVO: Financial Knowledge Expansion and Reasoning Evolution for Large Language Models
by: Pang, Bo, et al.
Published: (2025)
by: Pang, Bo, et al.
Published: (2025)
BrainBench: Exposing the Commonsense Reasoning Gap in Large Language Models
by: Tang, Yuzhe
Published: (2026)
by: Tang, Yuzhe
Published: (2026)
LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning about Actions
by: Ishay, Adam, et al.
Published: (2025)
by: Ishay, Adam, et al.
Published: (2025)
Teaching Language Models to Reason with Tools
by: Li, Chengpeng, et al.
Published: (2025)
by: Li, Chengpeng, et al.
Published: (2025)
L-MARS: Legal Multi-Agent Workflow with Orchestrated Reasoning and Agentic Search
by: Wang, Ziqi, et al.
Published: (2025)
by: Wang, Ziqi, et al.
Published: (2025)
DART: Difficulty-Adaptive Reasoning Truncation for Efficient Large Language Models
by: Zhang, Ruofan, et al.
Published: (2025)
by: Zhang, Ruofan, et al.
Published: (2025)
Tandem: Riding Together with Large and Small Language Models for Efficient Reasoning
by: Fu, Zichuan, et al.
Published: (2026)
by: Fu, Zichuan, et al.
Published: (2026)
Predictive Scheduling for Efficient Inference-Time Reasoning in Large Language Models
by: Brown, Katrina, et al.
Published: (2026)
by: Brown, Katrina, et al.
Published: (2026)
Helios: A Foundational Language Model for Smart Energy Knowledge Reasoning and Application
by: Jiang, Haoyu, et al.
Published: (2025)
by: Jiang, Haoyu, et al.
Published: (2025)
Hawkeye:Efficient Reasoning with Model Collaboration
by: She, Jianshu, et al.
Published: (2025)
by: She, Jianshu, et al.
Published: (2025)
Efficient Reasoning via Reward Model
by: Wang, Yuhao, et al.
Published: (2025)
by: Wang, Yuhao, et al.
Published: (2025)
HyPER: Bridging Exploration and Exploitation for Scalable LLM Reasoning with Hypothesis Path Expansion and Reduction
by: Qiu, Shengxuan, et al.
Published: (2026)
by: Qiu, Shengxuan, et al.
Published: (2026)
Agentic Reasoning for Large Language Models
by: Wei, Tianxin, et al.
Published: (2026)
by: Wei, Tianxin, et al.
Published: (2026)
Bridging the Reasoning Gap in Vietnamese with Small Language Models via Test-Time Scaling
by: Trung, Bui The, et al.
Published: (2026)
by: Trung, Bui The, et al.
Published: (2026)
Reverse-Engineered Reasoning for Open-Ended Generation
by: Wang, Haozhe, et al.
Published: (2025)
by: Wang, Haozhe, et al.
Published: (2025)
Dissecting Failure Dynamics in Large Language Model Reasoning
by: Zhu, Wei, et al.
Published: (2026)
by: Zhu, Wei, et al.
Published: (2026)
Efficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection Suppression
by: Huang, Jiameng, et al.
Published: (2025)
by: Huang, Jiameng, et al.
Published: (2025)
BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models
by: Li, Yuanhao, et al.
Published: (2026)
by: Li, Yuanhao, et al.
Published: (2026)
Grounded Chess Reasoning in Language Models via Master Distillation
by: Tang, Zhenwei, et al.
Published: (2026)
by: Tang, Zhenwei, et al.
Published: (2026)
Mathematical Reasoning in Large Language Models: Benchmarks, Architectures, Evaluation, and Open Challenges
by: Amjad, Husnain, et al.
Published: (2026)
by: Amjad, Husnain, et al.
Published: (2026)
Similar Items
-
MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models
by: Peng, Shuai, et al.
Published: (2024) -
OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models
by: Wang, Jun, et al.
Published: (2024) -
Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning
by: Pawar, Pranav, et al.
Published: (2025) -
Reasoning Transfer for an Extremely Low-Resource and Endangered Language: Bridging Languages Through Sample-Efficient Language Understanding
by: Tran, Khanh-Tung, et al.
Published: (2025) -
Boosting Open-Source LLMs for Program Repair via Reasoning Transfer and LLM-Guided Reinforcement Learning
by: Tang, Xunzhu, et al.
Published: (2025)