Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models | Paper Citation Record

Observation ddd7fc9e-a4d0-4546-a811-6f358c73364b · outbound

This paper cites AIME 2024.https://huggingface.co/datasets/AI-MO/aimo-validation-aime,.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models AIME 2024.https://huggingface.co/datasets/AI-MO/aimo-validation-aime,

Reference 2

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Observation 0bd79266-7d44-432b-ad48-0a6dd58fc69f · outbound

This paper cites Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why

Reference 3

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Observation cc5aab60-667a-4dd0-b780-aea286a13b4c · outbound

This paper cites OpenThoughts: Data Recipes for Reasoning Models.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models OpenThoughts: Data Recipes for Reasoning Models

Reference 8

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Observation 2cc1a036-9424-4bbf-b503-033469dd48cb · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

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Observation 5909f497-0756-4b3b-ad21-d3661e934ae0 · outbound

This paper cites Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Reference 11

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Observation f0d5da68-1923-4559-a563-0905637bbfdc · outbound

This paper cites Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling

Reference 12

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Observation 975bbc5e-7d34-4bef-8d83-7775c76450b1 · outbound

This paper cites Reinforcement Learning via Self-Distillation.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Reinforcement Learning via Self-Distillation

Reference 13

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Observation 2084da83-caa3-4c49-941a-7d1e56ac3087 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-31T07:02:36.323569Z

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Observation d38dd32c-7209-41ae-af75-6a61e6b03265 · outbound

This paper cites Entropy-Aware On-Policy Distillation of Language Models.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Entropy-Aware On-Policy Distillation of Language Models

Reference 15

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Observation ee7c5b74-6577-4cb7-87cc-c9ea7e5aa1ab · outbound

This paper cites VinePPO: Refining Credit Assignment in RL Training of LLMs.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models VinePPO: Refining Credit Assignment in RL Training of LLMs

Reference 16

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Observation 42a823f1-4c4c-42f4-a412-dc775f6283bb · outbound

This paper cites Respecting Self-Uncertainty in On-Policy Self-Distillation for Efficient LLM Reasoning.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Respecting Self-Uncertainty in On-Policy Self-Distillation for Efficient LLM Reasoning

Reference 17

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Observation 45b670b4-ea02-4b7d-afb4-9d72cc8f7a99 · outbound

This paper cites Sequence-level knowledge distillation.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Sequence-level knowledge distillation

Reference 18

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Observation 7862e934-f55d-4afc-820c-8cc32614c136 · outbound

This paper cites Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe

Reference 19

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Observation 807dbbc4-4eec-4054-bdb4-cf5469ab7aff · outbound

This paper cites ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models

Reference 20

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Observation 03ae4232-676a-4c37-96ab-9431c39276a7 · outbound

This paper cites ORBIT: On-policy Exploration-Exploitation for Controllable Multi-Budget Reasoning.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models ORBIT: On-policy Exploration-Exploitation for Controllable Multi-Budget Reasoning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-31T07:02:36.381009Z

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Observation bbb182fe-34e0-412a-a434-eec9270291e4 · outbound

This paper cites DeepSeek-V3 Technical Report.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models DeepSeek-V3 Technical Report

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-31T07:02:36.397596Z

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Observation 3ff7c33b-6005-4a1b-b8ee-c1adfba11976 · outbound

This paper cites UFT: Unifying supervised and reinforcement fine-tuning.arXiv preprint arXiv:2505.16984, 2025a.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models UFT: Unifying supervised and reinforcement fine-tuning.arXiv preprint arXiv:2505.16984, 2025a

Reference 23

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Observation b203fea0-f5bf-4942-a61e-1442a19c46d1 · outbound

This paper cites https://thinkingmachines.ai/blog/on-policy-distillation.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models https://thinkingmachines.ai/blog/on-policy-distillation

Reference 24

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Observation 25a087ab-2523-4016-a877-a14e7cf84415 · outbound

This paper cites MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Reference 25

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Observation ae4651e4-33f5-43b2-9cd1-451b62bcc1d0 · outbound

This paper cites NVIDIA Nemotron 3: Efficient and Open Intelligence.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models NVIDIA Nemotron 3: Efficient and Open Intelligence

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-31T07:02:36.447129Z

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Observation f19ca90c-1a11-44d1-8095-362418d35de6 · outbound

This paper cites AIME 2025.https://github.com/open-compass/opencompass,.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models AIME 2025.https://github.com/open-compass/opencompass,

Reference 27

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Observation 89a053cc-c1f2-4931-8fd0-2c31e75c0ac3 · outbound

This paper cites Revealing the power of post-training for small language models via knowledge distillation.arXiv preprint arXiv:2509.26497,.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Revealing the power of post-training for small language models via knowledge distillation.arXiv preprint arXiv:2509.26497,

Reference 29

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Observation 9cfac691-02da-416c-82de-29742d00f830 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Proximal Policy Optimization Algorithms

Reference 30

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Observation 49ee137f-c17f-450c-9951-754fbe620e4d · outbound

This paper cites RL's Razor: Why Online Reinforcement Learning Forgets Less.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models RL's Razor: Why Online Reinforcement Learning Forgets Less

Reference 32

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Observation 8cccce64-d684-4371-acfd-817a38490354 · outbound

This paper cites Self-Distillation Enables Continual Learning.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Self-Distillation Enables Continual Learning

Reference 33

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Observation deef98bc-7504-47bb-a9d0-3f9df3ab35df · outbound

This paper cites OpenAI GPT-5 System Card.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models OpenAI GPT-5 System Card

Reference 34

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Observation a5d7d686-12d0-4d27-a4c7-8346910dee3b · outbound

This paper cites A Survey of On-Policy Distillation for Large Language Models.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models A Survey of On-Policy Distillation for Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-31T07:02:36.537240Z

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Observation 7dc31d68-6bdc-4893-bc14-e94e6b49a585 · outbound

This paper cites Self-Supervised On-Policy Distillation for Reasoning Language Models.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Self-Supervised On-Policy Distillation for Reasoning Language Models

Reference 36

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Observation 3e67e821-e832-4136-961d-3518d6577db3 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 37

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Observation b99a255f-b801-4986-9efa-96857d746678 · outbound

This paper cites Kimi K2.5: Visual Agentic Intelligence.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Kimi K2.5: Visual Agentic Intelligence

Reference 38

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Observation 0d7ae3d3-3481-46ce-831b-d24f80758b7a · outbound

This paper cites Not All Disagreement Is Learnable: Token Teachability in On-Policy Distillation.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Not All Disagreement Is Learnable: Token Teachability in On-Policy Distillation

Reference 39

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Observation 6c910826-67b5-4b69-8fe3-5f187761628a · outbound

This paper cites Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation

Reference 40

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Observation a39875db-6500-42a1-a564-561822931b6d · outbound

This paper cites MiMo-V2-Flash Technical Report.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models MiMo-V2-Flash Technical Report

Reference 41

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Observation a7ab9de9-2145-472b-89ed-1c45fef0917f · outbound

This paper cites On the Position Bias of On-Policy Distillation.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models On the Position Bias of On-Policy Distillation

Reference 42

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Observation 77ac798f-70e1-4acb-a73f-48793c51da64 · outbound

This paper cites SG-OPD: Sign-Gated On-Policy Distillation via Sign-Consistency Gating and Phased Teacher Sampling.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models SG-OPD: Sign-Gated On-Policy Distillation via Sign-Consistency Gating and Phased Teacher Sampling

Reference 43

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Observation afa89616-2045-4e00-a665-2d49fae5c1eb · outbound

This paper cites Learning to Reason under Off-Policy Guidance.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Learning to Reason under Off-Policy Guidance

Reference 44

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Observation 588ac625-7646-4f1a-b16a-6753604ab89f · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 45

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Observation 20c6b745-2daf-498b-9e44-a798cab22edd · outbound

This paper cites Qwen3 Technical Report.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Qwen3 Technical Report

Reference 46

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Observation 185ee781-bb66-4b78-bd75-72e87e492e14 · outbound

This paper cites Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation

Reference 47

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Observation 6dbe2b1a-9005-4219-86c6-c9868c18dbe1 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 48

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Observation eef9deb5-9289-4a84-8567-56f20e255c95 · outbound

This paper cites What's Behind PPO's Collapse in Long-CoT? Value Optimization Holds the Secret.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models What's Behind PPO's Collapse in Long-CoT? Value Optimization Holds the Secret

Reference 49

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Observation 01e5a407-f9da-4655-ae0e-699014a21359 · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 50

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Observation cc9009ee-bca9-460e-8e6a-5dcf8a00d7c2 · outbound

This paper cites On-policy RL meets off-policy experts: Harmonizing supervised fine-tuning and reinforcement learning via dynamic weighting.arXiv preprint arXiv:2508.11408,.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models On-policy RL meets off-policy experts: Harmonizing supervised fine-tuning and reinforcement learning via dynamic weighting.arXiv preprint arXiv:2508.11408,

Reference 51

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Observation 6fb05be9-1614-43c3-8c22-408743b5e0a0 · outbound

This paper cites Reinforcement-aware Knowledge Distillation for LLM Reasoning.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Reinforcement-aware Knowledge Distillation for LLM Reasoning

Reference 52

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Observation c92d4674-260a-4c38-99d5-528589902195 · outbound

This paper cites Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models

Reference 53

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Observation 911d5221-e152-47a5-a0ad-af83f2ee42b4 · outbound

This paper cites Group Sequence Policy Optimization.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Group Sequence Policy Optimization

Reference 54

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Observation 05df5b25-d605-4c24-803e-01617e1caa9e · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 2015

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Observation 7ee3de70-d338-4fa4-8329-73a1ae80d57c · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 2017

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Observation fcc3823e-a6b5-41ca-ae76-9a21050b90c0 · outbound

This paper cites Process Reinforcement through Implicit Rewards.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Process Reinforcement through Implicit Rewards

Reference 2018

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Observation b30ab58f-eed9-4e45-8784-87573d40aa35 · outbound

This paper cites Privileged Information Distillation for Language Models.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Privileged Information Distillation for Language Models

Reference 2022

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Observation 41570081-83f2-4aaf-b8ca-184ecb71579d · outbound

This paper cites Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes

Reference 2023

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Observation 8c070f38-ab33-438f-a32f-01cbf65e2b24 · outbound

This paper cites Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

Reference 2024

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Observation 4395ab5a-1095-460b-ab01-5d9f6faca5e6 · outbound

This paper cites Beyond Two-Stage Training: Cooperative SFT and RL for LLM Reasoning.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models Beyond Two-Stage Training: Cooperative SFT and RL for LLM Reasoning

Reference 2025

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This paper cites MathArena: Evaluating LLMs on Uncontaminated Math Competitions.

Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models MathArena: Evaluating LLMs on Uncontaminated Math Competitions

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