Essential-AI / reflectionLinks
β49Updated 8 months ago
Alternatives and similar repositories for reflection
Users that are interested in reflection are comparing it to the libraries listed below
Sorting:
- [NeurIPS-2024] π Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623β89Updated last year
- The code for creating the iGSM datasets in papers "Physics of Language Models Part 2.1, Grade-School Math and the Hidden Reasoning Procesβ¦β79Updated 11 months ago
- A comrephensive collection of learning from rewards in the post-training and test-time scaling of LLMs, with a focus on both reward modelβ¦β60Updated 6 months ago
- Code for "Reasoning to Learn from Latent Thoughts"β123Updated 8 months ago
- β53Updated 10 months ago
- β53Updated 9 months ago
- [NeurIPS 2025] Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"β138Updated last month
- [ACL 2025] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMβ¦β68Updated last year
- Resources for the Enigmata Project.β73Updated 4 months ago
- This is the official implementation of the paper "SΒ²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning"β72Updated 7 months ago
- Revisiting Mid-training in the Era of Reinforcement Learning Scalingβ182Updated 4 months ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracyβ76Updated 2 months ago
- A Sober Look at Language Model Reasoningβ89Updated last month
- Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]β144Updated last year
- exploring whether LLMs perform case-based or rule-based reasoningβ30Updated last year
- β346Updated 4 months ago
- General Reasoner: Advancing LLM Reasoning Across All Domains [NeurIPS25]β209Updated 3 weeks ago
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learningβ118Updated 7 months ago
- Exploration of automated dataset selection approaches at large scales.β51Updated 9 months ago
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Modelsβ64Updated last year
- Repo of paper "Free Process Rewards without Process Labels"β168Updated 9 months ago
- Code and models for EMNLP 2024 paper "WPO: Enhancing RLHF with Weighted Preference Optimization"β41Updated last year
- β212Updated 6 months ago
- A unified suite for generating elite reasoning problems and training high-performance LLMs, including pioneering attention-free architectβ¦β131Updated last month
- RL with Experience Replayβ51Updated 4 months ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.β134Updated 8 months ago
- [NeurIPS 2024 Oral] Aligner: Efficient Alignment by Learning to Correctβ192Updated 11 months ago
- xVerify: Efficient Answer Verifier for Reasoning Model Evaluationsβ141Updated last month
- "Improving Mathematical Reasoning with Process Supervision" by OPENAIβ114Updated 2 months ago
- official implementation of paper "Process Reward Model with Q-value Rankings"β65Updated 10 months ago