Copertina

DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Gang, Lin, Ming, Galanti, Tomer, Tu, Zhengzhong, Yang, Tianbao
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

DRPO: Efficient Reasoning via Decoupled Reward Policy Optimization
di: Li, Gang, et al.
Pubblicazione: (2025)

The Fair Language Model Paradox
di: Pinto, Andrea, et al.
Pubblicazione: (2024)

Directional Neural Collapse Explains Few-Shot Transfer in Self-Supervised Learning
di: Luthra, Achleshwar, et al.
Pubblicazione: (2026)

Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning
di: Luthra, Achleshwar, et al.
Pubblicazione: (2025)

Multi-Output Distributional Fairness via Post-Processing
di: Li, Gang, et al.
Pubblicazione: (2024)

Harness as an Asset: Enforcing Determinism via the Convergent AI Agent Framework (CAAF)
di: Zhang, Tianbao
Pubblicazione: (2026)

ERPO: Token-Level Entropy-Regulated Policy Optimization for Large Reasoning Models
di: Yu, Song, et al.
Pubblicazione: (2026)

Adaptive Preference Scaling for Reinforcement Learning with Human Feedback
di: Hong, Ilgee, et al.
Pubblicazione: (2024)

A Retention-Centric Framework for Continual Learning with Guaranteed Model Developmental Safety
di: Li, Gang, et al.
Pubblicazione: (2024)

Rethinking Large Language Model Distillation: A Constrained Markov Decision Process Perspective
di: Zimmer, Matthieu, et al.
Pubblicazione: (2025)

Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization
di: Hu, Quanqi, et al.
Pubblicazione: (2023)

Large Scale Constrained Clustering With Reinforcement Learning
di: Schesch, Benedikt, et al.
Pubblicazione: (2024)

LEPO: Latent Reasoning Policy Optimization for Large Language Models
di: Zhou, Yuyan, et al.
Pubblicazione: (2026)

Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning
di: Gu, Shangding, et al.
Pubblicazione: (2024)

RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents
di: Zhang, Zijing, et al.
Pubblicazione: (2025)

Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen
di: Li, Zihao, et al.
Pubblicazione: (2025)

Fine-Tuning Diffusion Models for Molecular Generation via Reinforcement Learning and Fast Sampling
di: Lin, Guang, et al.
Pubblicazione: (2026)

Reinforcement-aware Knowledge Distillation for LLM Reasoning
di: Zhang, Zhaoyang, et al.
Pubblicazione: (2026)

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning
di: Xu, Haoran, et al.
Pubblicazione: (2025)

BackSlash: Rate Constrained Optimized Training of Large Language Models
di: Wu, Jun, et al.
Pubblicazione: (2025)

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning
di: Hazra, Somnath, et al.
Pubblicazione: (2025)

Gradient Aligned Regression via Pairwise Losses
di: Zhu, Dixian, et al.
Pubblicazione: (2024)

RPO:Reinforcement Fine-Tuning with Partial Reasoning Optimization
di: Yi, Hongzhu, et al.
Pubblicazione: (2026)

Model Ensembling for Constrained Optimization
di: Globus-Harris, Ira, et al.
Pubblicazione: (2024)

An Advantage-based Optimization Method for Reinforcement Learning in Large Action Space
di: Lin, Hai, et al.
Pubblicazione: (2024)

A Survey of Reinforcement Learning for Large Reasoning Models
di: Zhang, Kaiyan, et al.
Pubblicazione: (2025)

ADORA: Training Reasoning Models with Dynamic Advantage Estimation on Reinforcement Learning
di: Ren, Qingnan, et al.
Pubblicazione: (2026)

Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models
di: Sui, Yuan, et al.
Pubblicazione: (2025)

Can Large Language Models Reason and Optimize Under Constraints?
di: Bernier, Fabien, et al.
Pubblicazione: (2026)

Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model
di: Tu, Songjun, et al.
Pubblicazione: (2024)

Mitigating Overthinking in Large Reasoning Models via Difficulty-aware Reinforcement Learning
di: Wan, Qian, et al.
Pubblicazione: (2026)

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
di: Berto, Federico, et al.
Pubblicazione: (2023)

An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
di: Lin, Qian, et al.
Pubblicazione: (2024)

S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models
di: Dai, Muzhi, et al.
Pubblicazione: (2025)

Myna: Masking-Based Contrastive Learning of Musical Representations
di: Yonay, Ori, et al.
Pubblicazione: (2025)

MoE-DisCo:Low Economy Cost Training Mixture-of-Experts Models
di: Ye, Xin, et al.
Pubblicazione: (2026)

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning
di: Pawar, Pranav, et al.
Pubblicazione: (2025)

How Does Controllability Emerge In Language Models During Pretraining?
di: She, Jianshu, et al.
Pubblicazione: (2025)

Provably Efficient Exploration in Inverse Constrained Reinforcement Learning
di: Yue, Bo, et al.
Pubblicazione: (2024)

Revisiting Entropy in Reinforcement Learning for Large Reasoning Models
di: Jin, Renren, et al.
Pubblicazione: (2025)