GAIR-NLP / OPOLinks
☆51Updated last year
Alternatives and similar repositories for OPO
Users that are interested in OPO are comparing it to the libraries listed below
Sorting:
- Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…☆51Updated last year
- Reformatted Alignment☆112Updated last year
- Source code of "Reasons to Reject? Aligning Language Models with Judgments"☆58Updated last year
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆70Updated 6 months ago
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆75Updated 5 months ago
- Towards Systematic Measurement for Long Text Quality☆37Updated last year
- ☆147Updated last year
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆149Updated last year
- Counting-Stars (★)☆83Updated 5 months ago
- Generative Judge for Evaluating Alignment☆247Updated last year
- Official github repo for AutoDetect, an automated weakness detection framework for LLMs.☆44Updated last year
- ☆49Updated last year
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆82Updated 9 months ago
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆132Updated last year
- Benchmarking Complex Instruction-Following with Multiple Constraints Composition (NeurIPS 2024 Datasets and Benchmarks Track)☆97Updated 8 months ago
- This the implementation of LeCo☆31Updated 9 months ago
- The official repository of the Omni-MATH benchmark.☆88Updated 10 months ago
- Collection of papers for scalable automated alignment.☆94Updated last year
- ☆104Updated 11 months ago
- [ACL 2025] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLM…☆68Updated last year
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆83Updated last year
- We aim to provide the best references to search, select, and synthesize high-quality and large-quantity data for post-training your LLMs.☆60Updated last year
- Unofficial implementation of AlpaGasus☆93Updated 2 years ago
- ☆60Updated last year
- [ICML 2025] Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale☆263Updated 4 months ago
- ☆83Updated last year
- The implementation of paper "LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Fee…☆38Updated last year
- ☆14Updated last year
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆181Updated 4 months ago
- ☆36Updated last year