Reinforcing General Reasoning without Verifiers
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Xiangxin, Liu, Zichen, Sims, Anya, Wang, Haonan, Pang, Tianyu, Li, Chongxuan, Wang, Liang, Lin, Min, Du, Chao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Variational Reasoning for Language Models
by: Zhou, Xiangxin, et al.
Published: (2025)
by: Zhou, Xiangxin, et al.
Published: (2025)
Defeating the Training-Inference Mismatch via FP16
by: Qi, Penghui, et al.
Published: (2025)
by: Qi, Penghui, et al.
Published: (2025)
Optimizing Anytime Reasoning via Budget Relative Policy Optimization
by: Qi, Penghui, et al.
Published: (2025)
by: Qi, Penghui, et al.
Published: (2025)
Scaling up Masked Diffusion Models on Text
by: Nie, Shen, et al.
Published: (2024)
by: Nie, Shen, et al.
Published: (2024)
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs
by: Zhang, Xuan, et al.
Published: (2024)
by: Zhang, Xuan, et al.
Published: (2024)
Bootstrapping Language Models with DPO Implicit Rewards
by: Chen, Changyu, et al.
Published: (2024)
by: Chen, Changyu, et al.
Published: (2024)
Language Models Can Learn from Verbal Feedback Without Scalar Rewards
by: Luo, Renjie, et al.
Published: (2025)
by: Luo, Renjie, et al.
Published: (2025)
Understanding R1-Zero-Like Training: A Critical Perspective
by: Liu, Zichen, et al.
Published: (2025)
by: Liu, Zichen, et al.
Published: (2025)
LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification
by: Yang, Penghui, et al.
Published: (2025)
by: Yang, Penghui, et al.
Published: (2025)
RLPR: Extrapolating RLVR to General Domains without Verifiers
by: Yu, Tianyu, et al.
Published: (2025)
by: Yu, Tianyu, et al.
Published: (2025)
On Memorization in Diffusion Models
by: Gu, Xiangming, et al.
Published: (2023)
by: Gu, Xiangming, et al.
Published: (2023)
Learning to Reason at the Frontier of Learnability
by: Foster, Thomas, et al.
Published: (2025)
by: Foster, Thomas, et al.
Published: (2025)
Bridging Text and Molecule: A Survey on Multimodal Frameworks for Molecule
by: Xiao, Yi, et al.
Published: (2024)
by: Xiao, Yi, et al.
Published: (2024)
Graph Diffusion Policy Optimization
by: Liu, Yijing, et al.
Published: (2024)
by: Liu, Yijing, et al.
Published: (2024)
When Attention Sink Emerges in Language Models: An Empirical View
by: Gu, Xiangming, et al.
Published: (2024)
by: Gu, Xiangming, et al.
Published: (2024)
Improving Your Model Ranking on Chatbot Arena by Vote Rigging
by: Min, Rui, et al.
Published: (2025)
by: Min, Rui, et al.
Published: (2025)
DARL: Encouraging Diverse Answers for General Reasoning without Verifiers
by: Huang, Chongxuan, et al.
Published: (2026)
by: Huang, Chongxuan, et al.
Published: (2026)
Chart-RL: Generalized Chart Comprehension via Reinforcement Learning with Verifiable Rewards
by: Zhang, Xin, et al.
Published: (2026)
by: Zhang, Xin, et al.
Published: (2026)
A Closer Look at Machine Unlearning for Large Language Models
by: Yuan, Xiaojian, et al.
Published: (2024)
by: Yuan, Xiaojian, et al.
Published: (2024)
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations
by: Wang, Peiyi, et al.
Published: (2023)
by: Wang, Peiyi, et al.
Published: (2023)
LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation
by: Zhang, Xuan, et al.
Published: (2024)
by: Zhang, Xuan, et al.
Published: (2024)
Sample-Efficient Alignment for LLMs
by: Liu, Zichen, et al.
Published: (2024)
by: Liu, Zichen, et al.
Published: (2024)
Lifelong Safety Alignment for Language Models
by: Wang, Haoyu, et al.
Published: (2025)
by: Wang, Haoyu, et al.
Published: (2025)
Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates
by: Zheng, Xiaosen, et al.
Published: (2024)
by: Zheng, Xiaosen, et al.
Published: (2024)
Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses
by: Zheng, Xiaosen, et al.
Published: (2024)
by: Zheng, Xiaosen, et al.
Published: (2024)
From Reasoning Chains to Verifiable Subproblems: Curriculum Reinforcement Learning Enables Credit Assignment for LLM Reasoning
by: Jiang, Xitai, et al.
Published: (2026)
by: Jiang, Xitai, et al.
Published: (2026)
RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments
by: Zeng, Zhiyuan, et al.
Published: (2025)
by: Zeng, Zhiyuan, et al.
Published: (2025)
Purifying Large Language Models by Ensembling a Small Language Model
by: Li, Tianlin, et al.
Published: (2024)
by: Li, Tianlin, et al.
Published: (2024)
RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning
by: Zha, Kaiwen, et al.
Published: (2025)
by: Zha, Kaiwen, et al.
Published: (2025)
Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
by: Ma, Zhengzhao, et al.
Published: (2026)
by: Ma, Zhengzhao, et al.
Published: (2026)
Improving Long-Text Alignment for Text-to-Image Diffusion Models
by: Liu, Luping, et al.
Published: (2024)
by: Liu, Luping, et al.
Published: (2024)
GEM: A Gym for Agentic LLMs
by: Liu, Zichen, et al.
Published: (2025)
by: Liu, Zichen, et al.
Published: (2025)
SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis
by: Wu, Zijian, et al.
Published: (2025)
by: Wu, Zijian, et al.
Published: (2025)
Scalable Token-Level Hallucination Detection in Large Language Models
by: Min, Rui, et al.
Published: (2026)
by: Min, Rui, et al.
Published: (2026)
Think in Parallel, Answer as One: Logit Averaging for Open-Ended Reasoning
by: Wang, Haonan, et al.
Published: (2025)
by: Wang, Haonan, et al.
Published: (2025)
When Self-Belief Misleads: Active Label Acquisition for Reinforcement Learning with Verifiable Rewards
by: Wang, Li, et al.
Published: (2026)
by: Wang, Li, et al.
Published: (2026)
PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier
by: Jiang, Yuhua, et al.
Published: (2025)
by: Jiang, Yuhua, et al.
Published: (2025)
Towards LLM-based optimization compilers. Can LLMs learn how to apply a single peephole optimization? Reasoning is all LLMs need!
by: Fang, Xiangxin, et al.
Published: (2024)
by: Fang, Xiangxin, et al.
Published: (2024)
Improved Techniques for Optimization-Based Jailbreaking on Large Language Models
by: Jia, Xiaojun, et al.
Published: (2024)
by: Jia, Xiaojun, et al.
Published: (2024)
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
by: Huang, Guanhua, et al.
Published: (2025)
by: Huang, Guanhua, et al.
Published: (2025)
Similar Items
-
Variational Reasoning for Language Models
by: Zhou, Xiangxin, et al.
Published: (2025) -
Defeating the Training-Inference Mismatch via FP16
by: Qi, Penghui, et al.
Published: (2025) -
Optimizing Anytime Reasoning via Budget Relative Policy Optimization
by: Qi, Penghui, et al.
Published: (2025) -
Scaling up Masked Diffusion Models on Text
by: Nie, Shen, et al.
Published: (2024) -
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs
by: Zhang, Xuan, et al.
Published: (2024)