ACE-RL: Adaptive Constraint-Enhanced Reward for Long-form Generation Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Jianghao, Sun, Wei, Yin, Qixiang, Tan, Zhixing, Zhang, Jiajun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LR^2Bench: Evaluating Long-chain Reflective Reasoning Capabilities of Large Language Models via Constraint Satisfaction Problems
by: Chen, Jianghao, et al.
Published: (2025)
by: Chen, Jianghao, et al.
Published: (2025)
Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning
by: Lei, Xuanyu, et al.
Published: (2025)
by: Lei, Xuanyu, et al.
Published: (2025)
Long-form RewardBench: Evaluating Reward Models for Long-form Generation
by: Huang, Hui, et al.
Published: (2026)
by: Huang, Hui, et al.
Published: (2026)
OpenReward: Learning to Reward Long-form Agentic Tasks via Reinforcement Learning
by: Hu, Ziyou, et al.
Published: (2025)
by: Hu, Ziyou, et al.
Published: (2025)
Enhancing Agentic RL with Progressive Reward Shaping and Value-based Sampling Policy Optimization
by: Su, Jianghao, et al.
Published: (2025)
by: Su, Jianghao, et al.
Published: (2025)
LADM: Long-context Training Data Selection with Attention-based Dependency Measurement for LLMs
by: Chen, Jianghao, et al.
Published: (2025)
by: Chen, Jianghao, 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)
AWPO: Enhancing Tool-Use of Large Language Models through Adaptive Integration of Reasoning Rewards
by: Lin, Zihan, et al.
Published: (2025)
by: Lin, Zihan, et al.
Published: (2025)
LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts
by: Wang, Siyuan, et al.
Published: (2025)
by: Wang, Siyuan, et al.
Published: (2025)
LongRLVR: Long-Context Reinforcement Learning Requires Verifiable Context Rewards
by: Chen, Guanzheng, et al.
Published: (2026)
by: Chen, Guanzheng, et al.
Published: (2026)
Hit the Sweet Spot! Span-Level Ensemble for Large Language Models
by: Xu, Yangyifan, et al.
Published: (2024)
by: Xu, Yangyifan, et al.
Published: (2024)
Tournament-GRPO: Group-Wise Tournament Rewards for Reinforcement Learning in Open-Ended Long-Form Generation
by: Yang, Zixuan, et al.
Published: (2026)
by: Yang, Zixuan, et al.
Published: (2026)
GoLongRL: Capability-Oriented Long Context Reinforcement Learning with Multitask Alignment
by: Lv, Minxuan, et al.
Published: (2026)
by: Lv, Minxuan, et al.
Published: (2026)
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)
ResRL: Boosting LLM Reasoning via Negative Sample Projection Residual Reinforcement Learning
by: Lin, Zihan, et al.
Published: (2026)
by: Lin, Zihan, et al.
Published: (2026)
Enhancing Reinforcement Learning with Label-Sensitive Reward for Natural Language Understanding
by: Liao, Kuo, et al.
Published: (2024)
by: Liao, Kuo, et al.
Published: (2024)
Stabilizing Long-term Multi-turn Reinforcement Learning with Gated Rewards
by: Sun, Zetian, et al.
Published: (2025)
by: Sun, Zetian, et al.
Published: (2025)
LongR: Unleashing Long-Context Reasoning via Reinforcement Learning with Dense Utility Rewards
by: Ping, Bowen, et al.
Published: (2026)
by: Ping, Bowen, et al.
Published: (2026)
Pangu-ACE: Adaptive Cascaded Experts for Educational Response Generation on EduBench
by: Li, Dinghao, et al.
Published: (2026)
by: Li, Dinghao, et al.
Published: (2026)
PoLi-RL: A Point-to-List Reinforcement Learning Framework for Conditional Semantic Textual Similarity
by: Song, Zixin, et al.
Published: (2025)
by: Song, Zixin, et al.
Published: (2025)
Can LLMs Think Like Consumers? Benchmarking Crowd-Level Reaction Reconstruction with ConsumerSimBench
by: Wang, Tianyu, et al.
Published: (2026)
by: Wang, Tianyu, et al.
Published: (2026)
TaxonRL: Reinforcement Learning with Intermediate Rewards for Interpretable Fine-Grained Visual Reasoning
by: von Klinski, Maximilian, et al.
Published: (2026)
by: von Klinski, Maximilian, et al.
Published: (2026)
DualReward: A Dynamic Reinforcement Learning Framework for Cloze Tests Distractor Generation
by: Huang, Tianyou, et al.
Published: (2025)
by: Huang, Tianyou, et al.
Published: (2025)
An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical Reasoning
by: Sun, Wei, et al.
Published: (2025)
by: Sun, Wei, et al.
Published: (2025)
Diagnosing and Mitigating System Bias in Self-Rewarding RL
by: Tan, Chuyi, et al.
Published: (2025)
by: Tan, Chuyi, et al.
Published: (2025)
On-Policy RL with Optimal Reward Baseline
by: Hao, Yaru, et al.
Published: (2025)
by: Hao, Yaru, et al.
Published: (2025)
AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generation
by: Vijayaraghavan, Prashanth, et al.
Published: (2025)
by: Vijayaraghavan, Prashanth, et al.
Published: (2025)
From Verifiable Dot to Reward Chain: Harnessing Verifiable Reference-based Rewards for Reinforcement Learning of Open-ended Generation
by: Jiang, Yuxin, et al.
Published: (2026)
by: Jiang, Yuxin, et al.
Published: (2026)
TAMTRL: Teacher-Aligned Reward Reshaping for Multi-Turn Reinforcement Learning in Long-Context Compression
by: Wang, Li, et al.
Published: (2026)
by: Wang, Li, et al.
Published: (2026)
Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains
by: Su, Yi, et al.
Published: (2025)
by: Su, Yi, et al.
Published: (2025)
Beyond Sparse Rewards: Enhancing Reinforcement Learning with Language Model Critique in Text Generation
by: Cao, Meng, et al.
Published: (2024)
by: Cao, Meng, et al.
Published: (2024)
Balancing Rewards in Text Summarization: Multi-Objective Reinforcement Learning via HyperVolume Optimization
by: Song, Junjie, et al.
Published: (2025)
by: Song, Junjie, et al.
Published: (2025)
AgentV-RL: Scaling Reward Modeling with Agentic Verifier
by: Zhang, Jiazheng, et al.
Published: (2026)
by: Zhang, Jiazheng, et al.
Published: (2026)
FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering
by: Cai, Tianchi, et al.
Published: (2024)
by: Cai, Tianchi, et al.
Published: (2024)
DeferMem: Query-Time Evidence Distillation via Reinforcement Learning for Long-Term Memory QA
by: Yin, Jianing, et al.
Published: (2026)
by: Yin, Jianing, et al.
Published: (2026)
SAIL-RL: Guiding MLLMs in When and How to Think via Dual-Reward RL Tuning
by: Shu, Fangxun, et al.
Published: (2025)
by: Shu, Fangxun, et al.
Published: (2025)
Dynamic Reward Adjustment in Multi-Reward Reinforcement Learning for Counselor Reflection Generation
by: Min, Do June, et al.
Published: (2024)
by: Min, Do June, et al.
Published: (2024)
ToolRL: Reward is All Tool Learning Needs
by: Qian, Cheng, et al.
Published: (2025)
by: Qian, Cheng, et al.
Published: (2025)
Agentic Reinforcement Learning with Implicit Step Rewards
by: Liu, Xiaoqian, et al.
Published: (2025)
by: Liu, Xiaoqian, et al.
Published: (2025)
R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning
by: Zhang, Yi-Fan, et al.
Published: (2025)
by: Zhang, Yi-Fan, et al.
Published: (2025)
Similar Items
-
LR^2Bench: Evaluating Long-chain Reflective Reasoning Capabilities of Large Language Models via Constraint Satisfaction Problems
by: Chen, Jianghao, et al.
Published: (2025) -
Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning
by: Lei, Xuanyu, et al.
Published: (2025) -
Long-form RewardBench: Evaluating Reward Models for Long-form Generation
by: Huang, Hui, et al.
Published: (2026) -
OpenReward: Learning to Reward Long-form Agentic Tasks via Reinforcement Learning
by: Hu, Ziyou, et al.
Published: (2025) -
Enhancing Agentic RL with Progressive Reward Shaping and Value-based Sampling Policy Optimization
by: Su, Jianghao, et al.
Published: (2025)