facebookresearch / iGSM
The code for creating the iGSM datasets in papers "Physics of Language Models Part 2.1, Grade-School Math and the Hidden Reasoning Process" (arxiv 2407.20311) and "Physics of Language Models Part 2.2, How to Learn From Mistakes on Grade-School Math Problems" (arxiv 2408.16293)
☆40Updated 2 months ago
Alternatives and similar repositories for iGSM:
Users that are interested in iGSM are comparing it to the libraries listed below
- Directional Preference Alignment☆56Updated 6 months ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆55Updated 3 months ago
- This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or re…☆26Updated 6 months ago
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆56Updated 3 months ago
- ☆81Updated last year
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆119Updated 6 months ago
- The official repository of the Omni-MATH benchmark.☆77Updated 3 months ago
- Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]☆130Updated 6 months ago
- Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"☆73Updated 9 months ago
- official implementation of paper "Process Reward Model with Q-value Rankings"☆51Updated last month
- Code accompanying the paper "Noise Contrastive Alignment of Language Models with Explicit Rewards" (NeurIPS 2024)☆50Updated 4 months ago
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆55Updated 8 months ago
- official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and…☆35Updated 2 weeks ago
- ☆166Updated last month
- [NeurIPS'24 Spotlight] Observational Scaling Laws☆54Updated 5 months ago
- [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models☆76Updated last year
- ☆61Updated 4 months ago
- Code for ACL2024 paper - Adversarial Preference Optimization (APO).☆52Updated 9 months ago
- The code and data for the paper JiuZhang3.0☆43Updated 10 months ago
- Reference implementation for Token-level Direct Preference Optimization(TDPO)☆130Updated last month
- A curated list of awesome resources dedicated to Scaling Laws for LLMs☆71Updated last year
- We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆60Updated 4 months ago
- GenRM-CoT: Data release for verification rationales☆53Updated 5 months ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆45Updated 2 months ago
- A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models☆44Updated last month
- Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate"☆131Updated last month
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆44Updated last month
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆43Updated 7 months ago
- ☆48Updated last month
- Domain-specific preference (DSP) data and customized RM fine-tuning.☆25Updated last year