Copertina

WS-GRPO: Weakly-Supervised Group-Relative Policy Optimization for Rollout-Efficient Reasoning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Mundada, Gagan, Huang, Zihan, Surana, Rohan, Yu, Sheldon, Zhang, Jennifer Yuntong, Li, Xintong, Yu, Tong, Yao, Lina, Shang, Jingbo, McAuley, Julian, Wu, Junda
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

F-GRPO: Factorized Group-Relative Policy Optimization for Unified Candidate Generation and Ranking
di: Surana, Rohan, et al.
Pubblicazione: (2026)

Importance Sampling for Multi-Negative Multimodal Direct Preference Optimization
di: Li, Xintong, et al.
Pubblicazione: (2025)

AMPS: Adaptive Modality Preference Steering via Functional Entropy
di: Huang, Zihan, et al.
Pubblicazione: (2026)

MASS-DPO: Multi-negative Active Sample Selection for Direct Policy Optimization
di: Surana, Rohan, et al.
Pubblicazione: (2026)

MusiCRS: Benchmarking Audio-Centric Conversational Recommendation
di: Surana, Rohan, et al.
Pubblicazione: (2025)

Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning
di: Surana, Rohan, et al.
Pubblicazione: (2026)

SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes
di: Wang, Chuhan, et al.
Pubblicazione: (2026)

Evaluation on Entity Matching in Recommender Systems
di: Huang, Zihan, et al.
Pubblicazione: (2026)

Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics
di: Yu, Sheldon, et al.
Pubblicazione: (2025)

Active Learning for Direct Preference Optimization
di: Kveton, Branislav, et al.
Pubblicazione: (2025)

Skill-R1: Agent Skill Evolution via Reinforcement Learning
di: Vishe, Yash, et al.
Pubblicazione: (2026)

OLIVIA: Online Learning via Inference-time Action Adaptation for Decision Making in LLM ReAct Agents
di: Yu, Sheldon, et al.
Pubblicazione: (2026)

CoMMIT: Coordinated Multimodal Instruction Tuning
di: Li, Xintong, et al.
Pubblicazione: (2024)

CTRLS: Chain-of-Thought Reasoning via Latent State-Transition
di: Wu, Junda, et al.
Pubblicazione: (2025)

Skill-CMIB: Multimodal Agent Skill for Consistent Action via Conditional Multimodal Information Bottleneck
di: Huang, Zihan, et al.
Pubblicazione: (2026)

Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation
di: Wang, Ruoyu, et al.
Pubblicazione: (2025)

WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning
di: Mundada, Gagan, et al.
Pubblicazione: (2025)

In-context Ranking Preference Optimization
di: Wu, Junda, et al.
Pubblicazione: (2025)

From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System
di: Surana, Rohan, et al.
Pubblicazione: (2025)

Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction
di: Huang, Hongtao, et al.
Pubblicazione: (2025)

OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models
di: Wu, Junda, et al.
Pubblicazione: (2024)

Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent
di: Wu, Junda, et al.
Pubblicazione: (2025)

A Low-Latency Fraud Detection Layer for Detecting Adversarial Interaction Patterns in LLM-Powered Agents
di: Yu, Sheldon, et al.
Pubblicazione: (2026)

DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer
di: Wang, Ruoyu, et al.
Pubblicazione: (2025)

SAND: Boosting LLM Agents with Self-Taught Action Deliberation
di: Xia, Yu, et al.
Pubblicazione: (2025)

Multi-Behavior Generative Recommendation
di: Liu, Zihan, et al.
Pubblicazione: (2024)

Pluralistic Off-policy Evaluation and Alignment
di: Huang, Chengkai, et al.
Pubblicazione: (2025)

CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing
di: Wang, Rui, et al.
Pubblicazione: (2025)

Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
di: Xia, Yu, et al.
Pubblicazione: (2024)

Visual Prompting in Multimodal Large Language Models: A Survey
di: Wu, Junda, et al.
Pubblicazione: (2024)

A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models
di: Xie, Zhouhang, et al.
Pubblicazione: (2025)

FERA: Uncertainty-Aware Federated Reasoning for Large Language Models
di: Wang, Ruhan, et al.
Pubblicazione: (2026)

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions
di: Hu, Yuanzhe, et al.
Pubblicazione: (2025)

Foundation Models for Recommender Systems: A Survey and New Perspectives
di: Huang, Chengkai, et al.
Pubblicazione: (2024)

CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation
di: Wu, Junda, et al.
Pubblicazione: (2024)

Open-world Multi-label Text Classification with Extremely Weak Supervision
di: Li, Xintong, et al.
Pubblicazione: (2024)

Latent Factor Models Meets Instructions: Goal-conditioned Latent Factor Discovery without Task Supervision
di: Xie, Zhouhang, et al.
Pubblicazione: (2025)

MC-GRPO: Median-Centered Group Relative Policy Optimization for Small-Rollout Reinforcement Learning
di: Kim, Youngeun
Pubblicazione: (2026)

Reddit2Deezer: A Scalable Dataset for Real-World Grounded Conversational Music Recommendation
di: Kim, Haven, et al.
Pubblicazione: (2026)

Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models
di: Huang, Chengkai, et al.
Pubblicazione: (2024)