Saved in:
| Main Authors: | Han, Wei, Zhan, Geng, Yu, Sicheng, Wang, Chenyu, Hooi, Bryan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.06174 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Conversation for Non-verifiable Learning: Self-Evolving LLMs through Meta-Evaluation
by: Sui, Yuan, et al.
Published: (2026)
by: Sui, Yuan, et al.
Published: (2026)
Do LLMs Benefit From Their Own Words?
by: Huang, Jenny Y., et al.
Published: (2026)
by: Huang, Jenny Y., et al.
Published: (2026)
Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet
by: Zhao, James Xu, et al.
Published: (2025)
by: Zhao, James Xu, et al.
Published: (2025)
FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering
by: Sui, Yuan, et al.
Published: (2024)
by: Sui, Yuan, et al.
Published: (2024)
JudgeLRM: Large Reasoning Models as a Judge
by: Chen, Nuo, et al.
Published: (2025)
by: Chen, Nuo, et al.
Published: (2025)
Draft-Thinking: Learning Efficient Reasoning in Long Chain-of-Thought LLMs
by: Cao, Jie, et al.
Published: (2026)
by: Cao, Jie, et al.
Published: (2026)
How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach
by: Lee, Ayeong, et al.
Published: (2025)
by: Lee, Ayeong, et al.
Published: (2025)
Towards A Unified View of Answer Calibration for Multi-Step Reasoning
by: Deng, Shumin, et al.
Published: (2023)
by: Deng, Shumin, et al.
Published: (2023)
Tokenization Constraints in LLMs: A Study of Symbolic and Arithmetic Reasoning Limits
by: Zhang, Xiang, et al.
Published: (2025)
by: Zhang, Xiang, et al.
Published: (2025)
Think Carefully and Check Again! Meta-Generation Unlocking LLMs for Low-Resource Cross-Lingual Summarization
by: Li, Zhecheng, et al.
Published: (2024)
by: Li, Zhecheng, et al.
Published: (2024)
Do Large Language Models Excel in Complex Logical Reasoning with Formal Language?
by: Jiang, Jin, et al.
Published: (2025)
by: Jiang, Jin, et al.
Published: (2025)
From Chains to Graphs: Self-Structured Reasoning for General-Domain LLMs
by: Chen, Yingjian, et al.
Published: (2026)
by: Chen, Yingjian, et al.
Published: (2026)
ConfTuner: Training Large Language Models to Express Their Confidence Verbally
by: Li, Yibo, et al.
Published: (2025)
by: Li, Yibo, et al.
Published: (2025)
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering
by: Sui, Yuan, et al.
Published: (2024)
by: Sui, Yuan, et al.
Published: (2024)
SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization
by: Sun, Huashan, et al.
Published: (2025)
by: Sun, Huashan, et al.
Published: (2025)
Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values
by: Zhang, Hongbo, et al.
Published: (2025)
by: Zhang, Hongbo, et al.
Published: (2025)
DICE: Structured Reasoning in LLMs through SLM-Guided Chain-of-Thought Correction
by: Li, Yiqi, et al.
Published: (2025)
by: Li, Yiqi, et al.
Published: (2025)
How Does Response Length Affect Long-Form Factuality
by: Zhao, James Xu, et al.
Published: (2025)
by: Zhao, James Xu, et al.
Published: (2025)
Primacy Effect of ChatGPT
by: Wang, Yiwei, et al.
Published: (2023)
by: Wang, Yiwei, et al.
Published: (2023)
Dissociation of Faithful and Unfaithful Reasoning in LLMs
by: Yee, Evelyn, et al.
Published: (2024)
by: Yee, Evelyn, et al.
Published: (2024)
Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key
by: Wang, Tianle, et al.
Published: (2026)
by: Wang, Tianle, et al.
Published: (2026)
TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs
by: Hu, Lanxiang, et al.
Published: (2024)
by: Hu, Lanxiang, et al.
Published: (2024)
Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks
by: Li, Zaijing, et al.
Published: (2024)
by: Li, Zaijing, et al.
Published: (2024)
DRT: Deep Reasoning Translation via Long Chain-of-Thought
by: Wang, Jiaan, et al.
Published: (2024)
by: Wang, Jiaan, et al.
Published: (2024)
Fine-R1: Make Multi-modal LLMs Excel in Fine-Grained Visual Recognition by Chain-of-Thought Reasoning
by: He, Hulingxiao, et al.
Published: (2026)
by: He, Hulingxiao, et al.
Published: (2026)
If an LLM Were a Character, Would It Know Its Own Story? Evaluating Lifelong Learning in LLMs
by: Fan, Siqi, et al.
Published: (2025)
by: Fan, Siqi, et al.
Published: (2025)
RuPLaR : Efficient Latent Compression of LLM Reasoning Chains with Rule-Based Priors From Multi-Step to One-Step
by: Luo, Xiaocheng, et al.
Published: (2026)
by: Luo, Xiaocheng, et al.
Published: (2026)
Efficient Reasoning Models: A Survey
by: Feng, Sicheng, et al.
Published: (2025)
by: Feng, Sicheng, et al.
Published: (2025)
Enhancing LLM Character-Level Manipulation via Divide and Conquer
by: Xiong, Zhen, et al.
Published: (2025)
by: Xiong, Zhen, et al.
Published: (2025)
CreDes: Causal Reasoning Enhancement and Dual-End Searching for Solving Long-Range Reasoning Problems using LLMs
by: Wang, Kangsheng, et al.
Published: (2024)
by: Wang, Kangsheng, et al.
Published: (2024)
To Reason or Not to: Selective Chain-of-Thought in Medical Question Answering
by: Zhan, Zaifu, et al.
Published: (2026)
by: Zhan, Zaifu, et al.
Published: (2026)
SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities
by: Jiang, Fengqing, et al.
Published: (2025)
by: Jiang, Fengqing, et al.
Published: (2025)
KLong: Training LLM Agent for Extremely Long-horizon Tasks
by: Liu, Yue, et al.
Published: (2026)
by: Liu, Yue, et al.
Published: (2026)
Evaluating Zero-Shot Long-Context LLM Compression
by: Wang, Chenyu, et al.
Published: (2024)
by: Wang, Chenyu, et al.
Published: (2024)
Strategic Chain-of-Thought: Guiding Accurate Reasoning in LLMs through Strategy Elicitation
by: Wang, Yu, et al.
Published: (2024)
by: Wang, Yu, et al.
Published: (2024)
MC-GPT: Empowering Vision-and-Language Navigation with Memory Map and Reasoning Chains
by: Zhan, Zhaohuan, et al.
Published: (2024)
by: Zhan, Zhaohuan, et al.
Published: (2024)
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs
by: Xia, Yu, et al.
Published: (2024)
by: Xia, Yu, et al.
Published: (2024)
Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding
by: Deng, Ailin, et al.
Published: (2024)
by: Deng, Ailin, et al.
Published: (2024)
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models
by: Chen, Qiguang, et al.
Published: (2025)
by: Chen, Qiguang, et al.
Published: (2025)
dVoting: Fast Voting for dLLMs
by: Feng, Sicheng, et al.
Published: (2026)
by: Feng, Sicheng, et al.
Published: (2026)
Similar Items
-
Conversation for Non-verifiable Learning: Self-Evolving LLMs through Meta-Evaluation
by: Sui, Yuan, et al.
Published: (2026) -
Do LLMs Benefit From Their Own Words?
by: Huang, Jenny Y., et al.
Published: (2026) -
Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet
by: Zhao, James Xu, et al.
Published: (2025) -
FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering
by: Sui, Yuan, et al.
Published: (2024) -
JudgeLRM: Large Reasoning Models as a Judge
by: Chen, Nuo, et al.
Published: (2025)