| Learn from Whoever Is Right: Answer-Verified Multi-Teacher Distillation for Multi-Domain LLMs added by Syntology |
2026-09 (from id) |
hexixiang/MT-SDPO/training/verl/protocol.py 21331a58f93375e4 |
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| Explore More, Drift Less: Outcome-Only Reinforcement Learning Can Suffice for Long-Horizon Interactive Agents added by Syntology |
2026-09 (from id) |
AlibabaResearch/SignalCoverageRL/verl/protocol.py 21331a58f93375e4 |
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| Best Practice Critic Optimization BEST PRACTICE CRITIC OPTIMIZATION added by Syntology |
2026-08 (from id) |
QPHutu/golden_critic/verl/protocol.py 21331a58f93375e4 |
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| DENSER ̸ = BETTER: LIMITS OF ON-POLICY SELF-DISTILLATION FOR CONTINUAL POST-TRAINING added by Syntology |
2026-07 (from id) |
Moenupa/SDPO-CL/verl/protocol.py 21331a58f93375e4 |
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| SAW: Stage-Aware Dynamic Weighting for Multi-Objective Reinforcement Learning in Large Language Models added by Syntology |
2026-06 (from id) |
Zhaolutuan/SAW/verl/protocol.py 21331a58f93375e4 |
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| Self-Distilled Policy Gradient added by Syntology |
2026-06 (from id) |
lauyikfung/SDPG/verl/protocol.py 21331a58f93375e4 |
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| ROSD: Reflective On-Policy Self-Distillation for Language Model Reasoning across Domains added by Syntology |
2026-05 (from id) |
ZiqiZhao1/ROSD/verl/protocol.py 21331a58f93375e4 |
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| When Self-Belief Misleads: Active Label Acquisition for Reinforcement Learning with Verifiable Rewards added by Syntology |
2026-05 (from id) |
Lumina04/CARE/verl/protocol.py 21331a58f93375e4 |
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| Ranking-Aware Calibration for Reliable Multimodal Reinforcement Learning added by Syntology |
2026-05 (from id) |
Stellaris167/RAC/verl/protocol.py 21331a58f93375e4 |
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| Rethinking Importance Sampling in LLM Policy Optimization: A Cumulative Token Perspective added by Syntology |
2026-05 (from id) |
horizon-llm/CTPO/verl/protocol.py 21331a58f93375e4 |
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| When Less is Enough: Efficient Inference via Collaborative Reasoning added by Syntology |
2026-05 (from id) |
fairytale9/llm_bottleneck/verl/protocol.py 21331a58f93375e4 |
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| Understanding and Mitigating Spurious Signal Amplification in Test-Time Reinforcement Learning for Math Reasoning added by Syntology |
2026-04 (from id) |
yuyongcan/DDRL/verl/verl/protocol.py 21331a58f93375e4 |
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| Bounded Ratio Reinforcement Learning added by Syntology |
2026-04 (from id) |
bounded-ratio-rl/bounded_ratio_rl/src/verl/protocol.py 21331a58f93375e4 |
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| Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs? added by Syntology |
2026-03 (from id) |
lasgroup/SDPO/verl/protocol.py 21331a58f93375e4 |
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| TIPS: Turn-Level Information-Potential Reward Shaping for Search-Augmented LLMs added by Syntology |
2026-03 (from id) |
ucsd-wang-lab-lm/tips/verl/protocol.py 21331a58f93375e4 |
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| Online Causal Kalman Filtering for Stable and Effective Policy Optimization added by Syntology |
2026-02 (from id) |
shuohe1995/verl-kpo/verl/protocol.py 21331a58f93375e4 |
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| Uncovering Cross-Objective Interference in Multi-Objective Alignment added by Syntology |
2026-02 (from id) |
yining610/ctwa/verl/protocol.py 21331a58f93375e4 |
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| Stop Rewarding Hallucinated Steps: Faithfulness-Aware Step-Level Reinforcement Learning for Small Reasoning Models added by Syntology |
2026-02 (from id) |
Easy195/FaithRL/verl/protocol.py 21331a58f93375e4 |
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| Rethinking the Trust Region in LLM Reinforcement Learning added by Syntology |
2026-02 (from id) |
sail-sg/Stable-RL/verl/protocol.py 21331a58f93375e4 |
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| PrAg-PO: Prompt Augmented Policy Optimization for Robust and Diverse Mathematical Reasoning added by Syntology |
2026-02 (from id) |
wenquanlu/PrAg-PO/verl/protocol.py 21331a58f93375e4 |
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| CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMs added by Syntology |
2026-02 (from id) |
Within-yao/CoBA-RL/verl/protocol.py 21331a58f93375e4 |
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| Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented Generation added by Syntology |
2026-01 (from id) |
Cherry-qwq/LcRL-Open/verl/protocol.py 21331a58f93375e4 |
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| RelayLLM: Efficient Reasoning via Collaborative Decoding added by Syntology |
2026-01 (from id) |
Chengsong-Huang/RelayLLM/RL_stage/verl/protocol.py ad658a1d6fe829ba |
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| AT 2 PO: Agentic Turn-based Policy Optimization via Tree Search added by Syntology |
2026-01 (from id) |
zzfoutofspace/ATPO/ATPO/verl_atpo/verl/protocol.py 21331a58f93375e4 |
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| Prioritized Replay for RL Post-training added by Syntology |
2026-01 (from id) |
fatemi/verl/verl/protocol.py 21331a58f93375e4 |
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| Meta-RL Induces Exploration in Language Agents added by Syntology |
2025-12 (from id) |
mlbio-epfl/LaMer/verl/protocol.py 21331a58f93375e4 |
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| Ophiuchus: Incentivizing Tool-augmented "Think with Images" for Joint Medical Segmentation, Understanding and Reasoning added by Syntology |
2025-12 (from id) |
SII-zyj/Ophiuchus/verl/protocol.py 21331a58f93375e4 |
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| Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language Reasoning added by Syntology |
2025-11 (from id) |
aiming-lab/Agent0/Agent0-VL/verl/protocol.py 21331a58f93375e4 |
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| Information Gain-based Policy Optimization: A Simple and Effective Approach for Multi-Turn Search Agents added by Syntology |
2025-10 (from id) |
GuoqingWang1/IGPO/verl/protocol.py 21331a58f93375e4 |
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| Multi-Agent Tool-Integrated Policy Optimization added by Syntology |
2025-10 (from id) |
mzf666/MATPO/verl/protocol.py 21331a58f93375e4 |
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| Self-Evolving Vision-Language Models for Image Quality Assessment via Voting and Ranking added by Syntology |
2025-09 (from id) |
bytedance/EvoQuality/verl/verl/protocol.py 21331a58f93375e4 |
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Apache-2.0 (permissive) |
| Scaling RL to Long Videos |
10 Jul 2025 |
NVlabs/Long-RL/verl/protocol.py ad658a1d6fe829ba |
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| Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training |
7 Jul 2025 |
zhhvvv/rft_vs_sft/EasyR1/verl/protocol.py ad658a1d6fe829ba |
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| SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models |
15 Jun 2025 |
xid32/SoundMind/verl/protocol.py 21331a58f93375e4 |
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MIT (permissive) |
| RuleReasoner: Reinforced Rule-based Reasoning via Domain-aware Dynamic Sampling |
10 Jun 2025 |
bigai-nlco/rulereasoner/verl/verl/protocol.py 21331a58f93375e4 |
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MIT (permissive) |
| Reinforcement Learning Tuning for VideoLLMs: Reward Design and Data Efficiency |
2 Jun 2025 |
appletea233/temporal-r1/verl/protocol.py ad658a1d6fe829ba |
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| ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL |
30 May 2025 |
Franklin-Zhang0/ReasonGen-R1/verl/protocol.py 21331a58f93375e4 |
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| ToMAP: Training Opponent-Aware LLM Persuaders with Theory of Mind |
29 May 2025 |
ulab-uiuc/ToMAP/verl/protocol.py 21331a58f93375e4 |
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| REARANK: Reasoning Re-ranking Agent via Reinforcement Learning |
26 May 2025 |
lezhang7/rearank/verl/verl/protocol.py 21331a58f93375e4 |
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| Behavior Injection: Preparing Language Models for Reinforcement Learning |
25 May 2025 |
czp16/bridge-llm-reasoning/simple_verl/sverl/protocol.py 21331a58f93375e4 |
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| AdaCtrl: Towards Adaptive and Controllable Reasoning via Difficulty-Aware Budgeting |
24 May 2025 |
joeying1019/adactrl/verl/protocol.py 21331a58f93375e4 |
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| Synthetic Data RL: Task Definition Is All You Need |
18 May 2025 |
gydpku/data_synthesis_rl/verl/protocol.py 21331a58f93375e4 |
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| UFT: Unifying Supervised and Reinforcement Fine-Tuning |
22 May 2025 |
liumy2010/uft/verl/protocol.py 21331a58f93375e4 |
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| ARPO:End-to-End Policy Optimization for GUI Agents with Experience Replay |
22 May 2025 |
dvlab-research/arpo/verl/protocol.py ad658a1d6fe829ba |
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| DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning |
20 May 2025 |
visual-agent/deepeyes/verl/protocol.py 21331a58f93375e4 |
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| s3: You Don't Need That Much Data to Train a Search Agent via RL |
20 May 2025 |
pat-jj/s3/s3/llm_agent/generation_s3.py 21331a58f93375e4 |
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| Thinkless: LLM Learns When to Think |
19 May 2025 |
vainf/thinkless/verl/verl/protocol.py 21331a58f93375e4 |
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| Do Not Let Low-Probability Tokens Over-Dominate in RL for LLMs |
19 May 2025 |
zhyang2226/ar-lopti/verl/protocol.py 21331a58f93375e4 |
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| GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning |
16 May 2025 |
yueliu1999/guardreasoner-vl/train/EasyR1/verl/protocol.py ad658a1d6fe829ba |
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MIT (permissive) |
| Scalable Chain of Thoughts via Elastic Reasoning |
8 May 2025 |
salesforceairesearch/elastic-reasoning/verl/verl/protocol.py 21331a58f93375e4 |
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| ZeroSearch: Incentivize the Search Capability of LLMs without Searching |
7 May 2025 |
alibaba-nlp/zerosearch/verl/protocol.py 21331a58f93375e4 |
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| Reinforcement Learning for Reasoning in Large Language Models with One Training Example |
29 Apr 2025 |
ypwang61/one-shot-rlvr/verl/protocol.py 21331a58f93375e4 |
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| SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning |
2025-04 (from id) |
IDEA-FinAI/SQL-R1/verl/protocol.py 21331a58f93375e4 |
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| Efficient Reinforcement Finetuning via Adaptive Curriculum Learning |
7 Apr 2025 |
uscnlp-lime/verl/verl/protocol.py 21331a58f93375e4 |
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| Do Theory of Mind Benchmarks Need Explicit Human-like Reasoning in Language Models? |
2 Apr 2025 |
bigai-ai/ToM-RL/verl/protocol.py 21331a58f93375e4 |
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| ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning |
2 Apr 2025 |
UCSB-NLP-Chang/ThinkPrune/verl/protocol.py 21331a58f93375e4 |
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| CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models |
28 Mar 2025 |
lzhxmu/cppo/cppo_verl/verl/protocol.py 21331a58f93375e4 |
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| OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement |
21 Mar 2025 |
yihedeng9/openvlthinker/EasyR1/verl/protocol.py ad658a1d6fe829ba |
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| Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond |
13 Mar 2025 |
Qihoo360/Light-R1/deepscaler-release/verl/verl/protocol.py 21331a58f93375e4 |
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| Agent models: Internalizing Chain-of-Action Generation into Reasoning models |
9 Mar 2025 |
adam-bjtu/autocoa/RL_training/verl/protocol.py 21331a58f93375e4 |
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MIT (permissive) |
| Self-rewarding correction for mathematical reasoning |
26 Feb 2025 |
agentica-project/verl-pipeline/verl/protocol.py 21331a58f93375e4 |
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| Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning |
20 Feb 2025 |
Unakar/Logic-RL/verl/protocol.py 21331a58f93375e4 |
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| Flaming-hot Initiation with Regular Execution Sampling for Large Language Models |
28 Oct 2024 |
yaof20/real/verl/protocol.py 21331a58f93375e4 |
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| HybridFlow: A Flexible and Efficient RLHF Framework |
28 Sep 2024 |
du-nlp-lab/lengthreward/verl/protocol.py 21331a58f93375e4 |
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| arXiv:openreview_dzcDbh8ewp |
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| arXiv:openreview_Y1rHxA58If |
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| arXiv:openreview_Y1PXB8HBV7 |
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youwyouw/mirl-main/verl/protocol.py ad658a1d6fe829ba |
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| arXiv:openreview_VZDlkXuIQc |
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| arXiv:2025.findings-emnlp.1015 |
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