Collection by 
Oct 15, 2025
Collections
Discover the best community collections!
Collections including paper arxiv:2510.07242
Collection by 
2 days ago
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MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge
Paper • 2507.21183 • Published • 15 -
MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE
Paper • 2507.21802 • Published • 20 -
EDGE-GRPO: Entropy-Driven GRPO with Guided Error Correction for Advantage Diversity
Paper • 2507.21848 • Published • 9 -
Agentic Reinforced Policy Optimization
Paper • 2507.19849 • Published • 161
Collection by 
Jan 7
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Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 31 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 125 -
Robust Reward Modeling via Causal Rubrics
Paper • 2506.16507 • Published • 9 -
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense
Paper • 2510.07242 • Published • 30
Collection by 
about 18 hours ago
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Meta-Awareness Enhances Reasoning Models: Self-Alignment Reinforcement Learning
Paper • 2510.03259 • Published • 57 -
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense
Paper • 2510.07242 • Published • 30 -
First Try Matters: Revisiting the Role of Reflection in Reasoning Models
Paper • 2510.08308 • Published • 24 -
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
Paper • 2510.03222 • Published • 76
Collection by 
Nov 27, 2025
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Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 31 -
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Paper • 2503.14476 • Published • 146 -
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Paper • 2504.13837 • Published • 141 -
Learning to Reason under Off-Policy Guidance
Paper • 2504.14945 • Published • 88
Collection by 
1 day ago
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LLM Pruning and Distillation in Practice: The Minitron Approach
Paper • 2408.11796 • Published • 61 -
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering
Paper • 2408.09174 • Published • 53 -
To Code, or Not To Code? Exploring Impact of Code in Pre-training
Paper • 2408.10914 • Published • 45 -
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications
Paper • 2408.11878 • Published • 64
Collection by Oct 15, 2025
Collection by about 18 hours ago
-
Meta-Awareness Enhances Reasoning Models: Self-Alignment Reinforcement Learning
Paper • 2510.03259 • Published • 57 -
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense
Paper • 2510.07242 • Published • 30 -
First Try Matters: Revisiting the Role of Reflection in Reasoning Models
Paper • 2510.08308 • Published • 24 -
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
Paper • 2510.03222 • Published • 76
Collection by 2 days ago
-
MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge
Paper • 2507.21183 • Published • 15 -
MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE
Paper • 2507.21802 • Published • 20 -
EDGE-GRPO: Entropy-Driven GRPO with Guided Error Correction for Advantage Diversity
Paper • 2507.21848 • Published • 9 -
Agentic Reinforced Policy Optimization
Paper • 2507.19849 • Published • 161
Collection by Nov 27, 2025
-
Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 31 -
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Paper • 2503.14476 • Published • 146 -
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Paper • 2504.13837 • Published • 141 -
Learning to Reason under Off-Policy Guidance
Paper • 2504.14945 • Published • 88
Collection by Jan 7
-
Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 31 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 125 -
Robust Reward Modeling via Causal Rubrics
Paper • 2506.16507 • Published • 9 -
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense
Paper • 2510.07242 • Published • 30
Collection by 1 day ago
-
LLM Pruning and Distillation in Practice: The Minitron Approach
Paper • 2408.11796 • Published • 61 -
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering
Paper • 2408.09174 • Published • 53 -
To Code, or Not To Code? Exploring Impact of Code in Pre-training
Paper • 2408.10914 • Published • 45 -
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications
Paper • 2408.11878 • Published • 64