Saved in:
| Main Authors: | Zhang, Nonghai, Ma, Weitao, Ma, Zhanyu, Xu, Jun, Gao, Jiuchong, Hao, Jinghua, He, Renqing, Xu, Jingwen |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.08427 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
UserLM-R1: Modeling Human Reasoning in User Language Models with Multi-Reward Reinforcement Learning
by: Zhang, Feng, et al.
Published: (2026)
by: Zhang, Feng, et al.
Published: (2026)
Fine-Mem: Fine-Grained Feedback Alignment for Long-Horizon Memory Management
by: Ma, Weitao, et al.
Published: (2026)
by: Ma, Weitao, et al.
Published: (2026)
LTS-VoiceAgent: A Listen-Think-Speak Framework for Efficient Streaming Voice Interaction via Semantic Triggering and Incremental Reasoning
by: Zou, Wenhao, et al.
Published: (2026)
by: Zou, Wenhao, et al.
Published: (2026)
MUSE: Multi-Domain Chinese User Simulation via Self-Evolving Profiles and Rubric-Guided Alignment
by: Liu, Zihao, et al.
Published: (2026)
by: Liu, Zihao, et al.
Published: (2026)
Hidden States Know Where Reasoning Diverges: Credit Assignment via Span-Level Wasserstein Distance
by: Chen, Xinzhu, et al.
Published: (2026)
by: Chen, Xinzhu, et al.
Published: (2026)
GeoRA: Geometry-Aware Low-Rank Adaptation for RLVR
by: Zhang, Jiaying, et al.
Published: (2026)
by: Zhang, Jiaying, et al.
Published: (2026)
Long-term Task-oriented Agent: Proactive Long-term Intent Maintenance in Dynamic Environments
by: Shi, Qinglong, et al.
Published: (2026)
by: Shi, Qinglong, et al.
Published: (2026)
State Rank Dynamics in Linear Attention LLMs
by: Sun, Ao, et al.
Published: (2026)
by: Sun, Ao, et al.
Published: (2026)
Efficient Paths and Dense Rewards: Probabilistic Flow Reasoning for Large Language Models
by: Liu, Yan, et al.
Published: (2026)
by: Liu, Yan, et al.
Published: (2026)
From Absolute to Relative: Rethinking Reward Shaping in Group-Based Reinforcement Learning
by: Niu, Wenzhe, et al.
Published: (2026)
by: Niu, Wenzhe, et al.
Published: (2026)
Incentivizing Agentic Reasoning in LLM Judges via Tool-Integrated Reinforcement Learning
by: Xu, Ran, et al.
Published: (2025)
by: Xu, Ran, et al.
Published: (2025)
Masked-and-Reordered Self-Supervision for Reinforcement Learning from Verifiable Rewards
by: Wang, Zhen, et al.
Published: (2025)
by: Wang, Zhen, 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)
Adaptive Rollout Allocation for Online Reinforcement Learning with Verifiable Rewards
by: Nguyen, Hieu Trung, et al.
Published: (2026)
by: Nguyen, Hieu Trung, et al.
Published: (2026)
Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards
by: Liu, Xiaoyuan, et al.
Published: (2025)
by: Liu, Xiaoyuan, et al.
Published: (2025)
NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning
by: Liu, Wei, et al.
Published: (2025)
by: Liu, Wei, et al.
Published: (2025)
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 High Data Efficiency in Reinforcement Learning with Verifiable Reward
by: Tang, Xinyu, et al.
Published: (2025)
by: Tang, Xinyu, et al.
Published: (2025)
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)
S$^2$R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
by: Ma, Ruotian, et al.
Published: (2025)
by: Ma, Ruotian, 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)
Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
by: Gunjal, Anisha, et al.
Published: (2025)
by: Gunjal, Anisha, et al.
Published: (2025)
The Hidden Signal of Verifier Strictness: Controlling and Improving Step-Wise Verification via Selective Latent Steering
by: Zhou, Yefan, et al.
Published: (2026)
by: Zhou, Yefan, 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)
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)
Towards Transparent RAG: Fostering Evidence Traceability in LLM Generation via Reinforcement Learning
by: Ren, Jingyi, et al.
Published: (2025)
by: Ren, Jingyi, et al.
Published: (2025)
Token Buncher: Shielding LLMs from Harmful Reinforcement Learning Fine-Tuning
by: Feng, Weitao, et al.
Published: (2025)
by: Feng, Weitao, et al.
Published: (2025)
Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training
by: Xu, Ran, et al.
Published: (2026)
by: Xu, Ran, et al.
Published: (2026)
VerifierQ: Enhancing LLM Test Time Compute with Q-Learning-based Verifiers
by: Qi, Jianing, et al.
Published: (2024)
by: Qi, Jianing, et al.
Published: (2024)
J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning
by: Whitehouse, Chenxi, et al.
Published: (2025)
by: Whitehouse, Chenxi, et al.
Published: (2025)
Reinforcement Learning-based Knowledge Distillation with LLM-as-a-Judge
by: Shen, Yiyang, et al.
Published: (2026)
by: Shen, Yiyang, et al.
Published: (2026)
Let it Calm: Exploratory Annealed Decoding for Verifiable Reinforcement Learning
by: Yang, Chenghao, et al.
Published: (2025)
by: Yang, Chenghao, et al.
Published: (2025)
OPV: Outcome-based Process Verifier for Efficient Long Chain-of-Thought Verification
by: Wu, Zijian, et al.
Published: (2025)
by: Wu, Zijian, et al.
Published: (2025)
SEVerA: Verified Synthesis of Self-Evolving Agents
by: Banerjee, Debangshu, et al.
Published: (2026)
by: Banerjee, Debangshu, et al.
Published: (2026)
VoiceAgentEval: A Dual-Dimensional Benchmark for Expert-Level Intelligent Voice-Agent Evaluation of Xbench's Professional-Aligned Series
by: Xu, Pengyu, et al.
Published: (2025)
by: Xu, Pengyu, et al.
Published: (2025)
Examining Reasoning LLMs-as-Judges in Non-Verifiable LLM Post-Training
by: Liu, Yixin, et al.
Published: (2026)
by: Liu, Yixin, et al.
Published: (2026)
ANCORA: Learning to Question via Manifold-Anchored Self-Play for Verifiable Reasoning
by: Yang, Chengcao
Published: (2026)
by: Yang, Chengcao
Published: (2026)
Reinforcing General Reasoning without Verifiers
by: Zhou, Xiangxin, et al.
Published: (2025)
by: Zhou, Xiangxin, et al.
Published: (2025)
Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance
by: Yan, Kai, et al.
Published: (2026)
by: Yan, Kai, et al.
Published: (2026)
GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback
by: Xu, Ruiyao, et al.
Published: (2026)
by: Xu, Ruiyao, et al.
Published: (2026)
Similar Items
-
UserLM-R1: Modeling Human Reasoning in User Language Models with Multi-Reward Reinforcement Learning
by: Zhang, Feng, et al.
Published: (2026) -
Fine-Mem: Fine-Grained Feedback Alignment for Long-Horizon Memory Management
by: Ma, Weitao, et al.
Published: (2026) -
LTS-VoiceAgent: A Listen-Think-Speak Framework for Efficient Streaming Voice Interaction via Semantic Triggering and Incremental Reasoning
by: Zou, Wenhao, et al.
Published: (2026) -
MUSE: Multi-Domain Chinese User Simulation via Self-Evolving Profiles and Rubric-Guided Alignment
by: Liu, Zihao, et al.
Published: (2026) -
Hidden States Know Where Reasoning Diverges: Credit Assignment via Span-Level Wasserstein Distance
by: Chen, Xinzhu, et al.
Published: (2026)