| SpecOPD: Branch-Parallel On-Policy Distillation for Speculative Decoding |
2026-11-02 |
English · Chinese |
| RLiD: Reinforcement Learning in the Decision Plane for Language Agents and LLMs |
2026-11-02 |
English · Chinese |
| Proposing Better Rollouts for On-Policy Distillation |
2026-10-27 |
English · Chinese |
| CONCUR: Concordant Auxiliary Rewards for Multi-Task, Multi-Reward Reinforcement Learning |
2026-10-27 |
English · Chinese |
| When to Stop Penalizing Actions? Martingale GRPO for VLA Reinforcement Learning |
2026-10-23 |
English · Chinese |
| On-Policy Self-Training: Data-Free Self-Improvement in Large Language Models |
2026-10-23 |
English · Chinese |
| When to Follow the Teacher: Advantage-Based On-Policy Distillation |
2026-10-22 |
English · Chinese |
| UserArena: Benchmarking Interactive User Simulation for Long-Horizon Shopping Agents |
2026-10-22 |
English · Chinese |
| MOER: Mix-Policy Optimization under Expert Prefix Guidance with Selective Rollback |
2026-10-22 |
English · Chinese |
| GIFT: Gradient Informed Filtering for Distillation Augmented Reasoning RL |
2026-10-22 |
English · Chinese |
| Edit, Don't Imitate: Minimal-Edit On-Policy Distillation for Multimodal Reasoning |
2026-10-21 |
English · Chinese |
| CORD: Conflict-Aware Optimization for Joint RL and Distillation in Agents |
2026-10-21 |
English · Chinese |
| Projected Distillation: On Learning to Solve Hard Problems from Close, Correct Targets |
2026-10-20 |
English · Chinese |
| On-Policy Transition Distillation |
2026-10-20 |
English · Chinese |
| CSD: Common-Support Distillation for Cross-Tokenizer Knowledge Transfer |
2026-10-20 |
English · Chinese |
| Ask to Distill: Learning to Synthesize Data for On-Policy Distillation |
2026-10-20 |
English · Chinese |
| Adaptive Pullback: Reweighting Supervision at Penalty Jumps in On-Policy Distillation |
2026-10-20 |
English · Chinese |
| Reinforcement Learning with Visually Attributable On-Policy Self-Distillation |
2026-10-19 |
English · Chinese |
| Correctness-Dependent Asymmetric Target Distributions for Self-Distillation Policy Optimization |
2026-10-19 |
English · Chinese |
| Beyond the Teacher: Understanding and Preserving Distillation Overshoot in Agentic On-Policy Distillation |
2026-10-18 |
English · Chinese |
| Tree-Aware Posterior Distillation for Long-Horizon Agentic Reinforcement Learning |
2026-10-16 |
English · Chinese |
| SimOPD: Relational Knowledge Transfer for On-Policy Distillation |
2026-10-16 |
English · Chinese |
| Preserving Reasoning Diversity in Reinforcement Learning with Verifiable Rewards via Adaptive Replay |
2026-10-16 |
English · Chinese |
| MultiAgent-OPD: End-to-End Training of Hierarchical Multi-Agent Systems with On-Policy Distillation |
2026-10-16 |
English · Chinese |
| MGE-PO: Entropy-Aware Credit Assignment for Mathematical Reasoning |
2026-10-16 |
English · Chinese |
| GR-OPD: Group-Relative Sequence Credit for On-Policy Distillation |
2026-10-16 |
English · Chinese |
| Waypoint-OPD: Transferring RL-Induced Policy Shifts via Gated On-Policy Distillation |
2026-10-15 |
English · Chinese |
| Training-Free On-Policy Distillation |
2026-10-15 |
English · Chinese |
| Training Reasoning Models to Generate Diverse Scientific Ideas |
2026-10-15 |
English · Chinese |
| Progress Reward Model for Reinforcement Learning via Large Language Models |
2026-10-15 |
English · Chinese |
| OpCredit: Operation-Aware Policy Learning for Agentic Knowledge Graph Question Answering |
2026-10-15 |
English · Chinese |
| OPRD: On-Policy Reminder Distillation for Long-Horizon Coding Agents |
2026-10-15 |
English · Chinese |
| Multi-Reward Hacking: From Aggregation-Induced Drift to Trust-Anchored Defense |
2026-10-15 |
English · Chinese |
| Learning to Reason with Selective Internal Feedback |
2026-10-15 |
English · Chinese |
| Learning from Unverified Peers via Shared Residual Distillation |
2026-10-15 |
English · Chinese |
| KnowGPO: Knowledge-Grouped Policy Optimization for Search Agents |
2026-10-15 |
English · Chinese |
| EliteReplay: Preserving Diverse Solutions in RL Post-Training via Quality-Diversity Search |
2026-10-15 |
English · Chinese |
| Each Reward to Its Relevant Tokens: Reward-Specific Token-Level Credit Assignment for Multi-Reward RL |
2026-10-15 |
English · Chinese |
| Does On-Policy Distillation Need to Complete Every Rollout? |
2026-10-15 |
English · Chinese |
| Condition-Contrastive Extrapolation for On-Policy Distillation of Language Models |
2026-10-15 |
English · Chinese |
| Compatibility Matters: A Framework for Token-Level Teacher Selection in On-Policy Distillation |
2026-10-15 |
English · Chinese |
| CleanRM: Reward Modeling from Noisy Feedback with a Few Clean Feedback for RLHF |
2026-10-15 |
English · Chinese |
| When Pairwise Preferences Cycle: A Reliability-Anchored Preference Walk for Video GRPO |
2026-10-14 |
English · Chinese |
| On-Policy Residual Learning for Diffusion Language Models |
2026-10-14 |
English · Chinese |
| Information-Gain Calibrated On-Policy Distillation for Deep Search Agents |
2026-10-14 |
English · Chinese |
| Gibbs-Gap Policy Optimization for Off-Policy RL with Verifiable Rewards |
2026-10-14 |
English · Chinese |
| Failure Is the Mother of Success: Recovering Supervision with Grounding Hindsight |
2026-10-14 |
English · Chinese |
| Divergence-Routed On-Policy Distillation for Language Models |
2026-10-14 |
English · Chinese |
| LoOPSD: On-Policy Self-Distillation with Looped Teachers |
2026-10-13 |
English · Chinese |
| Trajectory-Aware Policy Optimization: Closing the State Distribution Gap in Long-Horizon LLM RL |
2026-10-09 |
English · Chinese |
| State-OPD: State-Grounded On-Policy Distillation for Multi-Turn Agents |
2026-10-09 |
English · Chinese |
| SOAR: Source-Aware Reinforcement Learning with Precise Credit Assignment for Search Agents |
2026-10-09 |
English · Chinese |
| Learning More by Training Less: Uncertainty-Guided Progressive Contraction for Efficient Reasoning Post-Training |
2026-10-09 |
English · Chinese |
| Inject a Turn, Not a Token: Learning Where to Redirect LLM Reasoning for Self-Correction |
2026-10-09 |
English · Chinese |
| Generalized Proximal Policy Optimization: Unifying LLM RL Algorithms from the Perspective of Divergence |
2026-10-09 |
English · Chinese |
| Continually Post-training Small Models via Synthetic Self-distillation |
2026-10-09 |
English · Chinese |
| CAST: Credit Alignment for Cross-Tokenizer On-Policy Distillation |
2026-10-09 |
English · Chinese |
| Branching On-Policy Distillation |
2026-10-09 |
English · Chinese |
| BoundaryEvo: Data-Model Co-Evolution at the Capability Boundary for Long-Chain Reasoning Distillation |
2026-10-09 |
English · Chinese |
| Beyond Domain-Routed Supervision: Cross-Teacher Guarding for Multi-Teacher On-Policy Distillation |
2026-10-09 |
English · Chinese |
| A Step Harder, Not a Step Too Far: The Benefits and Limits of Curriculum Difficulty Progression in GRPO |
2026-10-09 |
English · Chinese |
| Why On-Policy Distillation Sometimes Fails: Vanishing Learning Signals |
2026-10-08 |
English · Chinese |
| Which Skill to Distill? SGUID: Selecting a Compact Skill Bank for Model–Skill Co-Evolution |
2026-10-08 |
English · Chinese |
| When KL Regularization Misfires in Group Policy Optimization |
2026-10-08 |
English · Chinese |
| When Do We Need On-Policy Distillation? Distilling on Offline Student Rollouts Is Often Better |
2026-10-08 |
English · Chinese |
| Residual Advantage: Student-Relative Teacher Guidance for RL with Verifiable Rewards |
2026-10-08 |
English · Chinese |
| ReCal: Calibrating Structured Pruning for On-Policy Distillation Recovery |
2026-10-08 |
English · Chinese |
| PIVOT: Perplexity-Informed KD-to-RL Transition Scheduling for Vertical-Domain Few-Shot Distillation |
2026-10-08 |
English · Chinese |
| MetaOPD: Meta-Learned Token Weighting for On-Policy Distillation |
2026-10-08 |
English · Chinese |
| MagicBeanStalk: Escaping the RLVR Zero Advantage Trap with Recursive Data Synthesis |
2026-10-08 |
English · Chinese |
| GRPODropout: Less is More for Online Reinforcement Learning Rollouts |
2026-10-08 |
English · Chinese |
| DIAL-OPD: Learning More from Fewer Tokens in On-Policy Distillation |
2026-10-08 |
English · Chinese |
| LESSER: Post-Training Data Selection with Output-Layer Gradients |
2026-10-02 |
English · Chinese |
| Follow the Winners: Conservative Policy Improvement with the Cross-Entropy Method for Critic-Free RFT |
2026-10-02 |
English · Chinese |
| Where-OPD: Spatially Guided On-Policy Self-Distillation of MLLMs with Synthetic Scenes |
2026-10-01 |
English · Chinese |
| Token-Level Video Reinforcement Learning |
2026-10-01 |
English · Chinese |
| Sharpening Tax in Post-Training |
2026-10-01 |
English · Chinese |
| Range-GRPO: Policy Optimization via Pairwise Relations among Reward Intervals |
2026-10-01 |
English · Chinese |
| RLCPR: Rethinking Probability-Based Reinforcement Learning From Posterior Concentration |
2026-10-01 |
English · Chinese |
| My FAULT: Self-Diagnosis as Credit Assignment in Self-Evolving Agentic Reinforcement Learning |
2026-10-01 |
English · Chinese |
| GAW-PO: Preference Optimization with Gradient-Aligned Token Weights |
2026-10-01 |
English · Chinese |
| Dependency-Aware Reward Shaping for Agentic Reinforcement Learning |
2026-10-01 |
English · Chinese |
| CARM: Cancellation-Aware Response Masking for LLM Reinforcement Learning |
2026-10-01 |
English · Chinese |
| Asynchronous LLM Post-Training: Group-Mass Capping and Convergence Analysis |
2026-10-01 |
English · Chinese |
| T2SPO: Trajectory-to-Step Policy Optimization for Agentic Reinforcement Learning |
2026-09-30 |
English · Chinese |
| SHARPO: Segment-Level Credit Assignment for Agentic Reinforcement Learning |
2026-09-30 |
English · Chinese |
| Unlocking the Critic: Reward-Free Policy Optimization for LLM Post-Training |
2026-09-29 |
English · Chinese |
| The Weakest Link: Distilling LLM Reasoning with Worst-Case Constrained Reinforcement Learning |
2026-09-29 |
English · Chinese |
| The Teacher Is a Direction, Not a Destination: Extrapolating RL-Induced Representation Residuals in On-Policy Distillation |
2026-09-29 |
English · Chinese |
| SIPO: Unifying Reinforcement Learning with On-Policy Self-Distillation |
2026-09-29 |
English · Chinese |
| PR-OPD: Privileged Representation On-policy Self-Distillation for Agentic Reinforcement Learning |
2026-09-29 |
English · Chinese |
| Overcoming Scaling Limits in On-Policy Self-Distillation for LLM Reasoning |
2026-09-29 |
English · Chinese |
| Learning Beyond What You Sample: Off-Policy-Aware Cross-Model Trajectory Exchange for RLVR |
2026-09-29 |
English · Chinese |
| LEGO-OPD: Factorized Teacher Composition for Multimodal On-Policy Distillation |
2026-09-29 |
English · Chinese |
| Interpolated Policy Distillation: A Controllable Continuum Between Off-Policy and On-Policy Distillation |
2026-09-29 |
English · Chinese |
| Guide, Then Let Go: Gap-Adaptive Teacher Scheduling for Sparse-Reward Agentic RL |
2026-09-29 |
English · Chinese |
| From Dissonance to Orchestration: Teacher Intervention in On-Policy Distillation |
2026-09-29 |
English · Chinese |
| FlowMap-OPD: Rollout-Kernel Separation for On-Policy Distillation of Few-Step Flow-Map Generators |
2026-09-29 |
English · Chinese |
| DriftOPD: Sequence-Level Reverse-KL Distillation for One-Step VLA Policies |
2026-09-29 |
English · Chinese |
| Dr. OPD: Learning What to Follow for Optimal On-Policy Distillation of Large Language Models |
2026-09-29 |
English · Chinese |
| AdviSD: Learning to Advise Frontier LLMs via Targeted Multi-Turn Self-Distillation |
2026-09-29 |
English · Chinese |
| Shockingly Simple Self-retrospection Improves Agentic Models Without RL |
2026-09-28 |
English · Chinese |
| ROSS: Relearning from Self-Generated Rollouts through Selective Supervision |
2026-09-28 |
English · Chinese |
| MAS-OPD: On-Policy Distillation for Multi-Agent Systems |
2026-09-28 |
English · Chinese |
| Learning from Teacher Continuations at Student States |
2026-09-28 |
English · Chinese |
| An RL View of OPD: Least Square Policy Distillation for Sample-Efficient LLM Reasoning |
2026-09-28 |
English · Chinese |
| Recursive Self-Improvement via On-Policy Distillation for Reasoning |
2026-09-25 |
English · Chinese |
| PACT: From Credit Assignment to Critic Alignment |
2026-09-22 |
English · Chinese |
| RetireOPD: Self-Retiring On-Policy Distillation for Agentic Reinforcement Learning |
2026-09-17 |
English · Chinese |
| Trajectory Learnability for Offline On-Policy Distillation |
2026-09-16 |
English · Chinese |
| A Zeroth-Order Paradigm for LLM Preference Alignment |
2026-09-16 |
English · Chinese |
| Turn-level Multiscale Density Ratio Estimation for LLM Agents |
2026-09-15 |
English · Chinese |
| TIAO: Token Importance-Aware Policy Optimization for Text Summarization |
2026-09-15 |
English · Chinese |
| Style-Debiased DPO: Updating LLM Knowledge with Factuality-Aware Synthetic Preference Data |
2026-09-15 |
English · Chinese |
| OPD-Aha: From Linguistic Momentum to Visual Reflection in Multimodal On-Policy Distillation |
2026-09-15 |
English · Chinese |
| GrowMTP: Can RL Grow Its Own Draft Head? |
2026-09-15 |
English · Chinese |
| Beyond Token-Local Imitation: Reward-Compatible Temporal Credit Assignment for On-Policy Distillation |
2026-09-15 |
English · Chinese |
| Know When to Stop, Where to Restart: Accelerating Multi-Turn Agentic On-Policy Distillation |
2026-09-13 |
English · Chinese |
| MaD-RL: Matching Distributions for Calibrating LLMs with Reinforcement Learning |
2026-09-12 |
English · Chinese |
| Data-free On-policy Distillation |
2026-09-12 |
English · Chinese |
| Negative Self-Distillation: Learning to Reason by Avoiding Flaws |
2026-09-10 |
English · Chinese |
| LOCUS: Task-Aware Low-Rank Post-Training for Token-Efficient Language Generation |
2026-09-10 |
English · Chinese |
| Beyond Confidence: Stability-Aware Test-Time Adaptation for LLM Reasoning |
2026-09-10 |
English · Chinese |
| A Unified Per-Token Gating Family for On-Policy Distillation: FKL/RKL Mixing with Multi-Channel and Bias Coefficients |
2026-09-10 |
English · Chinese |
| CompassOPD: Cross-Family On-Policy Distillation via Within-Family Likelihood Shifts |
2026-09-09 |
English · Chinese |
| Entropy-Regularized Rank-Masked Policy Optimization for Test-Time Reinforcement Learning in Code Generation |
2026-09-08 |
English · Chinese |
| Eliciting Weak-to-Strong Generalization with On-Policy Reverse Distillation |
2026-09-08 |
English · Chinese |
| Distillation as Probability Transport: Routed On-Policy Distillation |
2026-09-08 |
English · Chinese |
| Extremely Sparse Supervision Incentivizes Reasoning Ability |
2026-09-03 |
English · Chinese |
| Video-OPSD: Exploiting Privileged Visual Evidence for On-Policy Self-Distillation in Video Large Language Models |
2026-08-27 |
English · Chinese |
| TTPO: Test-Time Policy Optimization |
2026-08-27 |
English · Chinese |
| SPEAR: Distilling Domain-Adaptive Reasoning Skeletons via Sequential Symbolic Alignment in Reinforcement Learning |
2026-08-27 |
English · Chinese |
| Preserving General Capabilities during Domain Specialization with Uncertainty-Calibrated MOPD |
2026-08-27 |
English · Chinese |
| Disentangling Optimization Scale from Preference Scale in DPO |
2026-08-27 |
English · Chinese |
| Consolidating RLVR Capabilities Across Domains: A Deep Dive into Fusion Paradigms |
2026-08-27 |
English · Chinese |
| Boosting LLM Exploration via Weak-Model Guidance in RLVR |
2026-08-27 |
English · Chinese |
| Where to Look Matters: On-Policy Self-Distillation for Long-Video Understanding |
2026-08-26 |
English · Chinese |
| V-Rubrics: Visual Faithfulness via Rubric-Based Reinforcement Learning |
2026-08-26 |
English · Chinese |
| GRIP: Granular Reward-Guided Parameter Interpolation for Efficient Reasoning |
2026-08-26 |
English · Chinese |
| From Memorization to Absorption: Mixed-Policy RL for Continual Knowledge Injection |
2026-08-26 |
English · Chinese |
| OPDVR: On-Policy Distillation with Verifiable Rewards |
2026-08-25 |
English · Chinese |
| OPDSearch+: Search-Enhanced On-Policy Distillation with Reinforcement Learning |
2026-08-25 |
English · Chinese |
| SRPO: Self-Reflective Policy Optimization for Long-Horizon Reasoning |
2026-08-24 |
English · Chinese |
| Beyond the Stability-Exploration Dilemma: Environmental Regularization for LLM Policy Optimization |
2026-08-24 |
English · Chinese |
| Beyond Imitation: Filtering On-Policy Distillation by Reasoning Progress |
2026-08-19 |
English · Chinese |
| Learn What's Left, Not What's Mastered: Saturation Aware Advantage Reweighting for Multi-Reward Policy Optimization |
2026-08-17 |
English · Chinese |
| Rubric Dropout: A Simple Way to Mitigate Reward Hacking in Rubric-as-Reward RL |
2026-08-12 |
English · Chinese |
| Preference Tree Optimization: Enhancing Goal-Oriented Dialogue with Look-Ahead Simulations |
2026-08-12 |
English · Chinese |
| GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs |
2026-08-12 |
English · Chinese |
| Context Blindness in DPO: Mitigating Object Hallucination in MLLMs via Context-Calibrated Preference Optimization |
2026-08-12 |
English · Chinese |
| SR-OPSD: Self-Referenced On-Policy Self-Distillation |
2026-08-10 |
English · Chinese |
| U-OPSD |
2026-08-06 |
English · Chinese |
| RRC: Unlocking Generative Reward Models in LLM Reinforcement Learning via Ranking-Based Reward Construction |
2026-08-06 |
English · Chinese |
| RP-OPSD |
2026-08-06 |
English · Chinese |
| On-Policy Delta Distillation for Multilingual Math Reasoning |
2026-08-06 |
English · Chinese |
| DASH |
2026-08-06 |
English · Chinese |
| SpecRoll: Fast-Slow Verifier-Feedback Adaptation for Speculative Reinforcement Learning Rollouts |
2026-08-05 |
English · Chinese |
| Optimizing What Policies Learn From: Recoverability-Aware Rollout Intervention Learning |
2026-08-05 |
English · Chinese |
| SMOPD: Multi-Reward Reinforcement Learning via Specialize-and-Merge Online Policy Distillation |
2026-08-04 |
English · Chinese |
| CausalOPD: First-Wrong-Step Supervision for Distilling Causal Chain Reasoning |
2026-08-04 |
English · Chinese |
| ADRS |
2026-08-04 |
English · Chinese |
| PCSD |
2026-08-03 |
English · Chinese |
| Beyond On-Policy Exploration: Integrating External Policy Rollouts for Reinforcement Learning in Diffusion Language Models |
2026-08-03 |
English · Chinese |
| Distill Where You Fail: Recovering Learning Signals of Negative RL-Groups from Adaptive Teacher Guidance |
2026-08-01 |
English · Chinese |
| β-OPSD |
2026-07-30 |
English · Chinese |
| VAD |
2026-07-30 |
English · Chinese |
| Flux-OPD |
2026-07-30 |
English · Chinese |
| Contrastive Reinforced Policy Optimization via Privileged Self-Distillation |
2026-07-30 |
English · Chinese |
| SERPO: Self-Evolving Rubric Policy Optimization for Open-Ended Test-Time Reinforcement Learning |
2026-07-29 |
English · Chinese |
| ReCo |
2026-07-29 |
English · Chinese |
| Relay-OPD |
2026-07-28 |
English · Chinese |
| Reinforcement Learning for Code Optimization |
2026-07-28 |
English · Chinese |
| CoRT |
2026-07-28 |
English · Chinese |
| What do Reward Models Memorize? |
2026-07-27 |
English · Chinese |
| TCR |
2026-07-22 |
English · Chinese |
| Co-Evolving LLM Evaluators and Policies via DynamicRubric |
2026-07-22 |
English · Chinese |
| Off-Context GRPO: Learning to Reason on Hard Problems using Privileged Information |
2026-07-21 |
English · Chinese |
| ISO: An RLVR-Native Optimization Stack |
2026-07-21 |
English · Chinese |
| Distilled RL |
2026-07-19 |
English · Chinese |
| RIPO |
2026-07-11 |
English · Chinese |
| ARMOR |
2026-07-11 |
English · Chinese |
| TACO |
2026-07-08 |
English · Chinese |
| Turning Off-Policy Tokens On-Policy: A Plug-in Approach for Improving LLM Alignment |
2026-07-06 |
English · Chinese |
| MOPD |
2026-06-29 |
English · Chinese |
| CoBA-RL |
2026-06-21 |
English · Chinese |
| STARE |
2026-06-17 |
English · Chinese |
| KPop |
2026-06-13 |
English · Chinese |
| OPDLM |
2026-06-04 |
English · Chinese |
| POLARIS: Guiding Small Models to Write Long Stories |
2026-06-02 |
English · Chinese |
| GPRL |
2026-05-18 |
English · Chinese |
| ConSPO |
2026-05-13 |
English · Chinese |
| Missing Old Logits |
2026-05-12 |
English · Chinese |
| Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training |
2026-05-12 |
English · Chinese |
| Mind the Gap: Structure-Aware Consistency in Preference Learning |
2026-04-30 |
English · Chinese |
| GroupDPO: Memory-Efficient Group-Wise Direct Preference Optimization |
2026-04-17 |
English · Chinese |
| Lightning OPD |
2026-04-14 |
English · Chinese |
| Large Reasoning Models Struggle to Transfer Parametric Knowledge Across Scripts |
2026-03-17 |
English · Chinese |
| Prompt-Level Distillation: A Non-Parametric Alternative to Model Fine-Tuning for Efficient Reasoning |
2026-02-24 |
English · Chinese |
| OPCD |
2026-02-12 |
English · Chinese |
| LUSPO |
2026-02-05 |
English · Chinese |
| OPSD |
2026-01-26 |
English · Chinese |
| Balancing Classification and Calibration Performance in Decision-Making LLMs via Calibration Aware Reinforcement Learning |
2026-01-19 |
English · Chinese |
| Online IcePop |
2025-12-16 |
English · Chinese |
| Stabilizing RL with LLMs |
2025-12-01 |
English · Chinese |
| IcePop |
2025-10-21 |
English · Chinese |
| When LLMs Benchmark Themselves: Deconstructing Self-Bias in Automated Evaluation |
2025-09-30 |
English · Chinese |
| Judging with Confidence: Calibrating Autoraters to Preference Distributions |
2025-09-30 |
English · Chinese |
| CHORD |
2025-08-15 |
English · Chinese |
| GPPO |
2025-08-11 |
English · Chinese |
| TIS |
2025-08-05 |
English · Chinese |
| GSPO |
2025-07-24 |
English · Chinese |
| Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty |
2025-07-22 |
English · Chinese |
| SPIRAL |
2025-06-30 |
English · Chinese |
| CISPO / MiniMax-M1 |
2025-06-16 |
English · Chinese |
| SCAR: Shapley Credit Assignment for More Efficient RLHF |
2025-05-26 |
English · Chinese |
| INTUITOR |
2025-05-26 |
English · Chinese |
| Absolute Zero |
2025-05-06 |
English · Chinese |
| TTRL |
2025-04-22 |
English · Chinese |
| LUFFY |
2025-04-21 |
English · Chinese |
| VAPO |
2025-04-07 |
English · Chinese |
| Dr. GRPO |
2025-03-26 |
English · Chinese |
| DAPO |
2025-03-18 |
English · Chinese |
| REINFORCE++ |
2025-01-04 |
English · Chinese |
| SimPO |
2024-05-23 |
English · Chinese |
| ORPO |
2024-03-12 |
English · Chinese |
| RLOO |
2024-02-22 |
English · Chinese |
| DeepSeekMath / GRPO |
2024-02-05 |
English · Chinese |
| KTO |
2024-02-02 |
English · Chinese |
| Self-Rewarding LM |
2024-01-18 |
English · Chinese |
| SPIN |
2024-01-02 |
English · Chinese |
| Math-Shepherd |
2023-12-14 |
English · Chinese |
| IPO |
2023-10-18 |
English · Chinese |
| ReMax |
2023-10-16 |
English · Chinese |
| SteerLM |
2023-10-09 |
English · Chinese |
| RLAIF |
2023-09-01 |
English · Chinese |
| GKD |
2023-06-23 |
English · Chinese |
| MiniLLM |
2023-06-14 |
English · Chinese |
| Let's Verify Step by Step |
2023-05-31 |
English · Chinese |
| DPO |
2023-05-29 |
English · Chinese |
| SLiC-HF |
2023-05-17 |
English · Chinese |
| RAFT |
2023-04-13 |
English · Chinese |
| RRHF |
2023-04-11 |
English · Chinese |
| Constitutional AI |
2022-12-15 |
English · Chinese |
| InstructGPT / PPO-RLHF |
2022-03-04 |
English · Chinese |