When Right Meets Wrong: Bilateral Context Conditioning with Reward-Confidence Correction for GRPO

PDF Viewer

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $9K - $13K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (35)

[1]
InSPO: Unlocking Intrinsic Self-Reflection for LLM Preference Optimization
2025Yu Li, Tian Lan et al.
[2]
Single-stream Policy Optimization
2025Zhongwen Xu, Zihan Ding
[3]
Geometric-Mean Policy Optimization
2025Yuzhong Zhao, Yue Liu et al.
[4]
Group Sequence Policy Optimization
2025Chujie Zheng, Shixuan Liu et al.
[5]
On-Policy RL with Optimal Reward Baseline
2025Y. Hao, Li Dong et al.
[6]
Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training
2025Youssef Mroueh, Nicolas Dupuis et al.
[7]
Qwen3 Technical Report
2025An Yang, Anfeng Li et al.
[8]
VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks
2025Yu Yue, Yufeng Yuan et al.
[9]
Understanding R1-Zero-Like Training: A Critical Perspective
2025Zi-Yan Liu, Changyu Chen et al.
[10]
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
2025Qiying Yu, Zheng Zhang et al.
[11]
Reinforcement Learning with Verifiable Rewards: GRPO's Effective Loss, Dynamics, and Success Amplification
2025Youssef Mroueh
[12]
Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks
2024Amir Saeidi, Shivanshu Verma et al.
[13]
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
2024Zhihong Shao, Peiyi Wang et al.
[14]
KTO: Model Alignment as Prospect Theoretic Optimization
2024Kawin Ethayarajh, Winnie Xu et al.
[15]
OpenAI o1 System Card
2024Ahmed El-Kishky
[16]
A General Theoretical Paradigm to Understand Learning from Human Preferences
2023M. G. Azar, Mark Rowland et al.
[17]
Let's Verify Step by Step
2023H. Lightman, Vineet Kosaraju et al.
[18]
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
2023Rafael Rafailov, Archit Sharma et al.
[19]
Solving math word problems with process- and outcome-based feedback
2022Jonathan Uesato, Nate Kushman et al.
[20]
Training language models to follow instructions with human feedback
2022Long Ouyang, Jeff Wu et al.

Showing 20 of 35 references

Founder's Pitch

"A novel approach to optimize reasoning models by leveraging contrastive learning within group samples."

Reinforcement LearningScore: 8View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

1/4 signals

2.5

Quick Build

3/4 signals

7.5

Series A Potential

3/4 signals

7.5

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 3/13/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.

Related Papers

Loading…