[ICLR 2026] "Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models"
☆58Feb 4, 2026Updated 6 months ago
Alternatives and similar repositories for Co-rewarding
Users that are interested in Co-rewarding are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICLR2026] "Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models"☆30Feb 4, 2026Updated 6 months ago
- ☆24Jun 28, 2023Updated 3 years ago
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆41Jul 18, 2025Updated last year
- [arXiv:2510.06261] "AlphaApollo: A System for Deep Agentic Reasoning"☆50May 18, 2026Updated 3 months ago
- [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"☆16Feb 27, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"☆15Feb 15, 2025Updated last year
- [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"☆34Nov 10, 2023Updated 2 years ago
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Oct 6, 2023Updated 2 years ago
- [NeurIPS 2023] Combating Bilateral Edge Noise for Robust Link Prediction☆13Nov 3, 2023Updated 2 years ago
- [arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"☆177Feb 20, 2024Updated 2 years ago
- [NeurIPS 2024] "Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection"☆13Oct 28, 2024Updated last year
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"☆16Feb 22, 2025Updated last year
- [NeurIPS'23] Binary Classification with Confidence Difference☆10May 13, 2024Updated 2 years ago
- [ICML 2024] PyTorch implementation for "Diversified Batch Selection for Training Acceleration"☆10Jul 30, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"☆13Feb 22, 2025Updated last year
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆31Dec 28, 2025Updated 7 months ago
- A curated list of resources for activation engineering☆139Oct 2, 2025Updated 10 months ago
- [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"☆22Nov 10, 2023Updated 2 years ago
- [ICML 2025] "From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?"☆47Oct 8, 2025Updated 10 months ago
- Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning☆25Jun 25, 2025Updated last year
- [NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"☆11Nov 3, 2023Updated 2 years ago
- [NeurIPS'20] Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization☆21May 29, 2022Updated 4 years ago
- [NeurIPS 2024] "Mind the Gap between Prototypes and Images in Cross-domain Finetuning"☆11Nov 15, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Official github repo for "Fractional Reasoning via Latent Steering Vectors Improves Inference Time Compute"☆17Jun 30, 2025Updated last year
- ☆17Apr 10, 2025Updated last year
- [ICLR 2026] "Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models"☆62May 21, 2026Updated 2 months ago
- [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"☆13Feb 15, 2025Updated last year
- ☆361Jul 29, 2025Updated last year
- Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends [NeurIPS 2023]☆10Jan 28, 2024Updated 2 years ago
- [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"☆222Updated this week
- [arXiv:2605.19952] "Rethinking How to Remember: Beyond Atomic Facts in Lifelong LLM Agent Memory"☆17May 20, 2026Updated 2 months ago
- ☆18Aug 19, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ICLR 2026☆46May 29, 2026Updated 2 months ago
- ☆19Aug 4, 2025Updated last year
- Official Repository of "[ICLR26] TRAPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning"☆29Feb 6, 2026Updated 6 months ago
- Extrapolating RLVR to General Domains without Verifiers☆205Aug 12, 2025Updated last year
- ☆26Aug 23, 2024Updated last year
- [NeurIPS 2024] Code and Data Repo for Paper "Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning"☆28May 28, 2024Updated 2 years ago
- [ICLR 2023] PyTorch implementation for "Long-Tailed Partial Label Learning via Dynamic Rebalancing"☆58Apr 21, 2023Updated 3 years ago