Cover Image

Group Causal Policy Optimization for Post-Training Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gu, Ziyin, Wang, Jingyao, Zuo, Ran, Sun, Chuxiong, Song, Zeen, Zheng, Changwen, Qiang, Wenwen
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Plasticity and Stability for Post-Training Large Language Models
by: Qiang, Wenwen, et al.
Published: (2026)

On the Generalization and Causal Explanation in Self-Supervised Learning
by: Qiang, Wenwen, et al.
Published: (2024)

On the Out-of-Distribution Generalization of Self-Supervised Learning
by: Qiang, Wenwen, et al.
Published: (2025)

Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs
by: Wang, Jingyao, et al.
Published: (2025)

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning
by: Wang, Jingyao, et al.
Published: (2026)

Hacking Task Confounder in Meta-Learning
by: Wang, Jingyao, et al.
Published: (2023)

Reward Model Generalization for Compute-Aware Test-Time Reasoning
by: Song, Zeen, et al.
Published: (2025)

Beyond All-to-All: Causal-Aligned Transformer with Dynamic Structure Learning for Multivariate Time Series Forecasting
by: Zhang, Xingyu, et al.
Published: (2025)

Enhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context Learning
by: Zhang, Jianqi, et al.
Published: (2026)

Adaptive Uncertainty-Aware Tree Search for Robust Reasoning
by: Song, Zeen, et al.
Published: (2026)

CAMD: Coverage-Aware Multimodal Decoding for Efficient Reasoning of Multimodal Large Language Models
by: Guo, Huijie, et al.
Published: (2026)

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition
by: Wang, Jingyao, et al.
Published: (2024)

Towards the Causal Complete Cause of Multi-Modal Representation Learning
by: Wang, Jingyao, et al.
Published: (2024)

Closing the Loop: A Control-Theoretic Framework for Provably Stable Time Series Forecasting with LLMs
by: Zhang, Xingyu, et al.
Published: (2026)

Causal Reward Adjustment: Mitigating Reward Hacking in External Reasoning via Backdoor Correction
by: Song, Ruike, et al.
Published: (2025)

Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting
by: Zhang, Xingyu, et al.
Published: (2024)

AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design Anywhere
by: Wang, Jingyao, et al.
Published: (2023)

On the Universality of Self-Supervised Learning
by: Qiang, Wenwen, et al.
Published: (2024)

PAPO-VLA: Planning-Aware Policy Optimization for Vision-Language-Action Models
by: Guo, Peizheng, et al.
Published: (2026)

Rethinking Meta-Learning from a Learning Lens
by: Wang, Jingyao, et al.
Published: (2024)

Rethinking Multi-Modal Learning from Gradient Uncertainty
by: Guo, Peizheng, et al.
Published: (2025)

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation
by: Qiang, Wenwen, et al.
Published: (2025)

Towards Task Sampler Learning for Meta-Learning
by: Wang, Jingyao, et al.
Published: (2023)

GVPO: Group Variance Policy Optimization for Large Language Model Post-Training
by: Zhang, Kaichen, et al.
Published: (2025)

From Shallow to Deep: Pinning Semantic Intent via Causal GRPO
by: Zhou, Shuyi, et al.
Published: (2026)

Learning Invariant Causal Mechanism from Vision-Language Models
by: Song, Zeen, et al.
Published: (2024)

Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration
by: Guo, Huijie, et al.
Published: (2025)

Neuromodulated Meta-Learning
by: Wang, Jingyao, et al.
Published: (2024)

COPO: Causal-Oriented Policy Optimization for Hallucinations of MLLMs
by: Guo, Peizheng, et al.
Published: (2025)

Causal Prompt Calibration Guided Segment Anything Model for Open-Vocabulary Multi-Entity Segmentation
by: Wang, Jingyao, et al.
Published: (2025)

A Generalized Learning Framework for Self-Supervised Contrastive Learning
by: Si, Lingyu, et al.
Published: (2025)

On the Discriminability of Self-Supervised Representation Learning
by: Song, Zeen, et al.
Published: (2024)

T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration
by: Sun, Chuxiong, et al.
Published: (2024)

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

Enhancing Time Series Forecasting via Logic-Inspired Regularization
by: Zhang, Jianqi, et al.
Published: (2025)

Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective
by: Song, Zeen, et al.
Published: (2024)

EP-GRPO: Entropy-Progress Aligned Group Relative Policy Optimization with Implicit Process Guidance
by: Yu, Song, et al.
Published: (2026)

Diversity-Aware Policy Optimization for Large Language Model Reasoning
by: Yao, Jian, et al.
Published: (2025)

Causal Front-Door Adjustment for Robust Jailbreak Attacks on LLMs
by: Zhou, Yao, et al.
Published: (2026)

HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning
by: Ji, Qirui, et al.
Published: (2025)