Think Only When You Need with Large Hybrid-Reasoning Models
Fuente:
arXiv
Saved in:
| Main Authors: | Jiang, Lingjie, Wu, Xun, Huang, Shaohan, Dong, Qingxiu, Chi, Zewen, Dong, Li, Zhang, Xingxing, Lv, Tengchao, Cui, Lei, Wei, Furu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reward Reasoning Model
by: Guo, Jiaxin, et al.
Published: (2025)
by: Guo, Jiaxin, et al.
Published: (2025)
The Era of Agentic Organization: Learning to Organize with Language Models
by: Chi, Zewen, et al.
Published: (2025)
by: Chi, Zewen, et al.
Published: (2025)
Code Aesthetics with Agentic Reward Feedback
by: Xiao, Bang, et al.
Published: (2025)
by: Xiao, Bang, et al.
Published: (2025)
Textual Aesthetics in Large Language Models
by: Jiang, Lingjie, et al.
Published: (2024)
by: Jiang, Lingjie, et al.
Published: (2024)
Black-Box On-Policy Distillation of Large Language Models
by: Ye, Tianzhu, et al.
Published: (2025)
by: Ye, Tianzhu, et al.
Published: (2025)
Online Experiential Learning for Language Models
by: Ye, Tianzhu, et al.
Published: (2026)
by: Ye, Tianzhu, et al.
Published: (2026)
On-Policy RL with Optimal Reward Baseline
by: Hao, Yaru, et al.
Published: (2025)
by: Hao, Yaru, et al.
Published: (2025)
Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts
by: Zhang, Di, et al.
Published: (2025)
by: Zhang, Di, et al.
Published: (2025)
Self-Boosting Large Language Models with Synthetic Preference Data
by: Dong, Qingxiu, et al.
Published: (2024)
by: Dong, Qingxiu, et al.
Published: (2024)
Multimodal Large Language Model is a Human-Aligned Annotator for Text-to-Image Generation
by: Wu, Xun, et al.
Published: (2024)
by: Wu, Xun, et al.
Published: (2024)
Multiplex Thinking: Reasoning via Token-wise Branch-and-Merge
by: Tang, Yao, et al.
Published: (2026)
by: Tang, Yao, et al.
Published: (2026)
VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models
by: Jiang, Lingjie, et al.
Published: (2025)
by: Jiang, Lingjie, et al.
Published: (2025)
Mixture of LoRA Experts
by: Wu, Xun, et al.
Published: (2024)
by: Wu, Xun, et al.
Published: (2024)
Thinking Augmented Pre-training
by: Wang, Liang, et al.
Published: (2025)
by: Wang, Liang, et al.
Published: (2025)
On-Policy Context Distillation for Language Models
by: Ye, Tianzhu, et al.
Published: (2026)
by: Ye, Tianzhu, et al.
Published: (2026)
You Only Cache Once: Decoder-Decoder Architectures for Language Models
by: Sun, Yutao, et al.
Published: (2024)
by: Sun, Yutao, et al.
Published: (2024)
MH-MoE: Multi-Head Mixture-of-Experts
by: Huang, Shaohan, et al.
Published: (2024)
by: Huang, Shaohan, et al.
Published: (2024)
Multi-Head Mixture-of-Experts
by: Wu, Xun, et al.
Published: (2024)
by: Wu, Xun, et al.
Published: (2024)
RedStone: Curating General, Code, Math, and QA Data for Large Language Models
by: Chang, Yaoyao, et al.
Published: (2024)
by: Chang, Yaoyao, et al.
Published: (2024)
Model as a Game: On Numerical and Spatial Consistency for Generative Games
by: Chen, Jingye, et al.
Published: (2025)
by: Chen, Jingye, et al.
Published: (2025)
Geometric-Mean Policy Optimization
by: Zhao, Yuzhong, et al.
Published: (2025)
by: Zhao, Yuzhong, et al.
Published: (2025)
Optimizing Prompts for Text-to-Image Generation
by: Hao, Yaru, et al.
Published: (2022)
by: Hao, Yaru, et al.
Published: (2022)
Breaking Training Bottlenecks: Effective and Stable Reinforcement Learning for Coding Models
by: Li, Zongqian, et al.
Published: (2026)
by: Li, Zongqian, et al.
Published: (2026)
Adapting Large Language Models to Domains via Reading Comprehension
by: Cheng, Daixuan, et al.
Published: (2023)
by: Cheng, Daixuan, et al.
Published: (2023)
Towards Optimal Learning of Language Models
by: Gu, Yuxian, et al.
Published: (2024)
by: Gu, Yuxian, et al.
Published: (2024)
BitNet Distillation
by: Wu, Xun, et al.
Published: (2025)
by: Wu, Xun, et al.
Published: (2025)
Scaling Data Difficulty: Improving Coding Models via Reinforcement Learning on Fresh and Challenging Problems
by: Li, Zongqian, et al.
Published: (2026)
by: Li, Zongqian, et al.
Published: (2026)
Kosmos-G: Generating Images in Context with Multimodal Large Language Models
by: Pan, Xichen, et al.
Published: (2023)
by: Pan, Xichen, et al.
Published: (2023)
Sparse-BitNet: 1.58-bit LLMs are Naturally Friendly to Semi-Structured Sparsity
by: Zhang, Di, et al.
Published: (2026)
by: Zhang, Di, et al.
Published: (2026)
Shorten After You're Right: Lazy Length Penalties for Reasoning RL
by: Yuan, Danlong, et al.
Published: (2025)
by: Yuan, Danlong, et al.
Published: (2025)
Data Selection via Optimal Control for Language Models
by: Gu, Yuxian, et al.
Published: (2024)
by: Gu, Yuxian, et al.
Published: (2024)
Information-Preserving Reformulation of Reasoning Traces for Antidistillation
by: Ding, Jiayu, et al.
Published: (2025)
by: Ding, Jiayu, et al.
Published: (2025)
Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models
by: Wu, Wenshan, et al.
Published: (2024)
by: Wu, Wenshan, et al.
Published: (2024)
SlideSparse: Fast and Flexible (2N-2):2N Structured Sparsity
by: Shao, Hanyong, et al.
Published: (2026)
by: Shao, Hanyong, et al.
Published: (2026)
KOSMOS-2.5: A Multimodal Literate Model
by: Lv, Tengchao, et al.
Published: (2023)
by: Lv, Tengchao, et al.
Published: (2023)
Decoding in Geometry: Alleviating Embedding-Space Crowding for Complex Reasoning
by: Yang, Yixin, et al.
Published: (2026)
by: Yang, Yixin, et al.
Published: (2026)
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation
by: Chu, Yun-Wei, et al.
Published: (2024)
by: Chu, Yun-Wei, et al.
Published: (2024)
Reinforcement Pre-Training
by: Dong, Qingxiu, et al.
Published: (2025)
by: Dong, Qingxiu, et al.
Published: (2025)
Universal YOCO for Efficient Depth Scaling
by: Sun, Yutao, et al.
Published: (2026)
by: Sun, Yutao, et al.
Published: (2026)
LongReasonArena: A Long Reasoning Benchmark for Large Language Models
by: Ding, Jiayu, et al.
Published: (2025)
by: Ding, Jiayu, et al.
Published: (2025)
Similar Items
-
Reward Reasoning Model
by: Guo, Jiaxin, et al.
Published: (2025) -
The Era of Agentic Organization: Learning to Organize with Language Models
by: Chi, Zewen, et al.
Published: (2025) -
Code Aesthetics with Agentic Reward Feedback
by: Xiao, Bang, et al.
Published: (2025) -
Textual Aesthetics in Large Language Models
by: Jiang, Lingjie, et al.
Published: (2024) -
Black-Box On-Policy Distillation of Large Language Models
by: Ye, Tianzhu, et al.
Published: (2025)