:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xie, Bin, Xu, Bingbing, Yuan, Yige, Zhu, Shengmao, Shen, Huawei
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2506.12446
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

R$^2$PO: Decoupling Training Trajectories from Inference Responses for LLM Reasoning
by: Wang, Jingchu, et al.
Published: (2026)

Inference-time Alignment in Continuous Space
by: Yuan, Yige, et al.
Published: (2025)

Towards Robust Process Reward Modeling via Noise-aware Learning
by: Xie, Bin, et al.
Published: (2026)

Multi-Personality Generation of LLMs at Decoding-time
by: Chen, Rongxin, et al.
Published: (2025)

GIFT: Games as Informal Training for Generalizable LLMs
by: Lyu, Nuoyan, et al.
Published: (2026)

Fact-Level Confidence Calibration and Self-Correction
by: Yuan, Yige, et al.
Published: (2024)

VisualPRM: An Effective Process Reward Model for Multimodal Reasoning
by: Wang, Weiyun, et al.
Published: (2025)

MIGE: Mutually Enhanced Multimodal Instruction-Based Image Generation and Editing
by: Tian, Xueyun, et al.
Published: (2025)

R-PRM: Reasoning-Driven Process Reward Modeling
by: She, Shuaijie, et al.
Published: (2025)

Incentivizing Strong Reasoning from Weak Supervision
by: Yuan, Yige, et al.
Published: (2025)

Inference Time Alignment with Reward-Guided Tree Search
by: Hung, Chia-Yu, et al.
Published: (2024)

ROMA: Real-time Omni-Multimodal Assistant with Interactive Streaming Understanding
by: Tian, Xueyun, et al.
Published: (2026)

Optimal Aggregation of LLM and PRM Signals for Efficient Test-Time Scaling
by: Kuang, Peng, et al.
Published: (2025)

GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning
by: Zhao, Jian, et al.
Published: (2025)

Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning
by: Wang, Zixu, et al.
Published: (2024)

Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment
by: Xiao, Teng, et al.
Published: (2024)

InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning
by: Wang, Zixu, et al.
Published: (2025)

How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective
by: Xiao, Teng, et al.
Published: (2024)

Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization
by: Tian, Xueyun, et al.
Published: (2026)

RevMUX: Data Multiplexing with Reversible Adapters for Efficient LLM Batch Inference
by: Xu, Yige, et al.
Published: (2024)

FreePRM: Training Process Reward Models Without Ground Truth Process Labels
by: Sun, Lin, et al.
Published: (2025)

Fin-PRM: A Domain-Specialized Process Reward Model for Financial Reasoning in Large Language Models
by: Zhu, Jie, et al.
Published: (2025)

DreamPRM-Code: Function-as-Step Process Reward Model with Label Correction for LLM Coding
by: Zhang, Ruiyi, et al.
Published: (2025)

Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards
by: Yun, Jaehoon, et al.
Published: (2025)

SoftCoT++: Test-Time Scaling with Soft Chain-of-Thought Reasoning
by: Xu, Yige, et al.
Published: (2025)

MITA: Bridging the Gap between Model and Data for Test-time Adaptation
by: Yuan, Yige, et al.
Published: (2024)

Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems
by: Wang, Zixu, et al.
Published: (2026)

GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning
by: Zhang, Jianghangfan, et al.
Published: (2025)

Guiding VLM Agents with Process Rewards at Inference Time for GUI Navigation
by: Hu, Zhiyuan, et al.
Published: (2025)

PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and Engineering
by: Wang, Xiangfeng, et al.
Published: (2026)

Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment
by: Deng, Jingcheng, et al.
Published: (2025)

Accurate and Diverse LLM Mathematical Reasoning via Automated PRM-Guided GFlowNets
by: Younsi, Adam, et al.
Published: (2025)

Unlocking the Power of Large Language Models for Entity Alignment
by: Jiang, Xuhui, et al.
Published: (2024)

PITA: Preference-Guided Inference-Time Alignment for LLM Post-Training
by: Bobbili, Sarat Chandra, et al.
Published: (2025)

ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs
by: Zou, Jiaru, et al.
Published: (2025)

Mitigating Social Bias in English and Urdu Language Models Using PRM-Guided Candidate Selection and Sequential Refinement
by: Khan, Muneeb Ur Raheem
Published: (2025)

Bounded Rationality for LLMs: Satisficing Alignment at Inference-Time
by: Chehade, Mohamad, et al.
Published: (2025)

SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters
by: Xiao, Teng, et al.
Published: (2025)

Efficient PRM Training Data Synthesis via Formal Verification
by: Kamoi, Ryo, et al.
Published: (2025)

Think-then-Act: A Dual-Angle Evaluated Retrieval-Augmented Generation
by: Shen, Yige, et al.
Published: (2024)