JHU-CLSP / RATIONALYSTLinks
Code for RATIONALYST: Pre-training Process-Supervision for Improving Reasoning https://arxiv.org/pdf/2410.01044
☆35Updated last year
Alternatives and similar repositories for RATIONALYST
Users that are interested in RATIONALYST are comparing it to the libraries listed below
Sorting:
- Code for EMNLP 2024 paper "Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning"☆54Updated last year
- Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs☆41Updated last year
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆61Updated last year
- The code implementation of MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models…☆40Updated 2 years ago
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆63Updated last year
- When Reasoning Meets Its Laws☆35Updated last month
- Aioli: A unified optimization framework for language model data mixing☆32Updated last year
- ☆49Updated 10 months ago
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆45Updated 4 months ago
- Verifiers for LLM Reinforcement Learning☆80Updated 9 months ago
- Codebase for Instruction Following without Instruction Tuning☆36Updated last year
- [NAACL 2024] Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data? https://aclanthology.org/2024.naa…☆55Updated 6 months ago
- Co-LLM: Learning to Decode Collaboratively with Multiple Language Models☆126Updated last year
- Systematic evaluation framework that automatically rates overthinking behavior in large language models.☆96Updated 8 months ago
- The repository contains code for Adaptive Data Optimization☆32Updated last year
- ☆130Updated last year
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated 2 years ago
- Implementation of the paper: "AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?"☆69Updated last year
- ☆35Updated 8 months ago
- [TMLR 2026] When Attention Collapses: How Degenerate Layers in LLMs Enable Smaller, Stronger Models☆122Updated last year
- Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"☆91Updated last year
- This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"☆17Updated last year
- Improving Text Embedding of Language Models Using Contrastive Fine-tuning☆64Updated last year
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆94Updated last year
- A repository for research on medium sized language models.☆77Updated last year
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆78Updated last year
- A dataset of LLM-generated chain-of-thought steps annotated with mistake location.☆85Updated last year
- [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples☆120Updated last week
- ☆67Updated 10 months ago
- ☆23Updated last year