Scaling Reasoning without Attention
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Xueliang, Wu, Wei, Kong, Lingpeng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models
by: Zhao, Xueliang, et al.
Published: (2025)
by: Zhao, Xueliang, et al.
Published: (2025)
PromptCoT 2.0: Scaling Prompt Synthesis for Large Language Model Reasoning
by: Zhao, Xueliang, et al.
Published: (2025)
by: Zhao, Xueliang, et al.
Published: (2025)
SubgoalXL: Subgoal-based Expert Learning for Theorem Proving
by: Zhao, Xueliang, et al.
Published: (2024)
by: Zhao, Xueliang, et al.
Published: (2024)
DynaAct: Large Language Model Reasoning with Dynamic Action Spaces
by: Zhao, Xueliang, et al.
Published: (2025)
by: Zhao, Xueliang, et al.
Published: (2025)
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
by: Ye, Jiacheng, et al.
Published: (2024)
by: Ye, Jiacheng, et al.
Published: (2024)
Teaching Language Models to Critique via Reinforcement Learning
by: Xie, Zhihui, et al.
Published: (2025)
by: Xie, Zhihui, et al.
Published: (2025)
DLM-Scope: Mechanistic Interpretability of Diffusion Language Models via Sparse Autoencoders
by: Wang, Xu, et al.
Published: (2026)
by: Wang, Xu, et al.
Published: (2026)
MathScale: Scaling Instruction Tuning for Mathematical Reasoning
by: Tang, Zhengyang, et al.
Published: (2024)
by: Tang, Zhengyang, et al.
Published: (2024)
Pruning Foundation Models for High Accuracy without Retraining
by: Zhao, Pu, et al.
Published: (2024)
by: Zhao, Pu, et al.
Published: (2024)
FROST: Filtering Reasoning Outliers with Attention for Efficient Reasoning
by: Luo, Haozheng, et al.
Published: (2026)
by: Luo, Haozheng, et al.
Published: (2026)
ScaleDiff: Scaling Difficult Problems for Advanced Mathematical Reasoning
by: Pei, Qizhi, et al.
Published: (2025)
by: Pei, Qizhi, et al.
Published: (2025)
Depth-Recurrent Attention Mixtures: Giving Latent Reasoning the Attention it Deserves
by: Knupp, Jonas, et al.
Published: (2026)
by: Knupp, Jonas, et al.
Published: (2026)
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
by: Ma, Chang, et al.
Published: (2024)
by: Ma, Chang, et al.
Published: (2024)
Every Attention Matters: An Efficient Hybrid Architecture for Long-Context Reasoning
by: Ling Team, et al.
Published: (2025)
by: Ling Team, et al.
Published: (2025)
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)
Reasoning Does Not Necessarily Improve Role-Playing Ability
by: Feng, Xiachong, et al.
Published: (2025)
by: Feng, Xiachong, et al.
Published: (2025)
Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs
by: Ling Team, et al.
Published: (2025)
by: Ling Team, et al.
Published: (2025)
Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models -- The Story Goes On
by: Zeng, Liang, et al.
Published: (2024)
by: Zeng, Liang, et al.
Published: (2024)
EcoTransformer: Attention without Multiplication
by: Gao, Xin, et al.
Published: (2025)
by: Gao, Xin, et al.
Published: (2025)
Scaling Bidirectional Spans and Span Violations in Attention Mechanism
by: Kim, Jongwook, et al.
Published: (2025)
by: Kim, Jongwook, et al.
Published: (2025)
SEAL: Scaling to Emphasize Attention for Long-Context Retrieval
by: Lee, Changhun, et al.
Published: (2025)
by: Lee, Changhun, et al.
Published: (2025)
Scaling over Scaling: Exploring Test-Time Scaling Plateau in Large Reasoning Models
by: Wang, Jian, et al.
Published: (2025)
by: Wang, Jian, et al.
Published: (2025)
Attention Needs to Focus: A Unified Perspective on Attention Allocation
by: Fu, Zichuan, et al.
Published: (2026)
by: Fu, Zichuan, et al.
Published: (2026)
ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates
by: Yang, Ling, et al.
Published: (2025)
by: Yang, Ling, et al.
Published: (2025)
Scaling Attention to Very Long Sequences in Linear Time with Wavelet-Enhanced Random Spectral Attention (WERSA)
by: Dentamaro, Vincenzo
Published: (2025)
by: Dentamaro, Vincenzo
Published: (2025)
Integrating Locality-Aware Attention with Transformers for General Geometry PDEs
by: Koh, Minsu, et al.
Published: (2025)
by: Koh, Minsu, et al.
Published: (2025)
How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse
by: Deng, Yichuan, et al.
Published: (2024)
by: Deng, Yichuan, et al.
Published: (2024)
Crosslingual Reasoning through Test-Time Scaling
by: Yong, Zheng-Xin, et al.
Published: (2025)
by: Yong, Zheng-Xin, et al.
Published: (2025)
Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study
by: Tan, Shawn, et al.
Published: (2024)
by: Tan, Shawn, et al.
Published: (2024)
Sliding Window Attention Training for Efficient Large Language Models
by: Fu, Zichuan, et al.
Published: (2025)
by: Fu, Zichuan, et al.
Published: (2025)
Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models
by: Wang, Boxin, et al.
Published: (2025)
by: Wang, Boxin, et al.
Published: (2025)
Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains
by: Xu, Austin, et al.
Published: (2025)
by: Xu, Austin, et al.
Published: (2025)
The Markovian Thinker: Architecture-Agnostic Linear Scaling of Reasoning
by: Aghajohari, Milad, et al.
Published: (2025)
by: Aghajohari, Milad, et al.
Published: (2025)
Parallel Test-Time Scaling for Latent Reasoning Models
by: You, Runyang, et al.
Published: (2025)
by: You, Runyang, et al.
Published: (2025)
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning
by: Lin, Bill Yuchen, et al.
Published: (2025)
by: Lin, Bill Yuchen, et al.
Published: (2025)
Compute Optimal Scaling of Skills: Knowledge vs Reasoning
by: Roberts, Nicholas, et al.
Published: (2025)
by: Roberts, Nicholas, et al.
Published: (2025)
Decoupling Knowledge and Reasoning in Transformers: A Modular Architecture with Generalized Cross-Attention
by: Guo, Zhenyu, et al.
Published: (2025)
by: Guo, Zhenyu, et al.
Published: (2025)
How Uncertainty Estimation Scales with Sampling in Reasoning Models
by: Del, Maksym, et al.
Published: (2026)
by: Del, Maksym, et al.
Published: (2026)
Understanding and Improving Length Generalization in Hierarchical Sparse Attention Models
by: Leng, Jiaqi, et al.
Published: (2025)
by: Leng, Jiaqi, et al.
Published: (2025)
Unlocking Reasoning Capabilities in LLMs via Reinforcement Learning Exploration
by: Deng, Wenhao, et al.
Published: (2025)
by: Deng, Wenhao, et al.
Published: (2025)
Similar Items
-
PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models
by: Zhao, Xueliang, et al.
Published: (2025) -
PromptCoT 2.0: Scaling Prompt Synthesis for Large Language Model Reasoning
by: Zhao, Xueliang, et al.
Published: (2025) -
SubgoalXL: Subgoal-based Expert Learning for Theorem Proving
by: Zhao, Xueliang, et al.
Published: (2024) -
DynaAct: Large Language Model Reasoning with Dynamic Action Spaces
by: Zhao, Xueliang, et al.
Published: (2025) -
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
by: Ye, Jiacheng, et al.
Published: (2024)