OFA-Sys / DiverseEvolLinks
Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning
☆80Updated last year
Alternatives and similar repositories for DiverseEvol
Users that are interested in DiverseEvol are comparing it to the libraries listed below
Sorting:
- Reformatted Alignment☆113Updated 9 months ago
- [ACL 2024] LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement☆185Updated last year
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆68Updated last month
- ☆50Updated last year
- Official github repo for AutoDetect, an automated weakness detection framework for LLMs.☆42Updated last year
- ☆95Updated last year
- Source code of "Reasons to Reject? Aligning Language Models with Judgments"☆58Updated last year
- Code implementation of synthetic continued pretraining☆117Updated 6 months ago
- Code for paper titled "Towards the Law of Capacity Gap in Distilling Language Models"☆99Updated last year
- The official implementation of "Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks"☆54Updated last month
- ☆56Updated 8 months ago
- Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…☆50Updated last year
- ☆48Updated last year
- Counting-Stars (★)☆83Updated last month
- ☆36Updated 10 months ago
- Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models☆88Updated last year
- [ACL 2025] An official pytorch implement of the paper: Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement☆30Updated last month
- HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models☆44Updated 7 months ago
- [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆63Updated 8 months ago
- We aim to provide the best references to search, select, and synthesize high-quality and large-quantity data for post-training your LLMs.☆57Updated 9 months ago
- Co-LLM: Learning to Decode Collaboratively with Multiple Language Models☆115Updated last year
- SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning. COLM 2024 Accepted Paper☆33Updated last year
- ☆102Updated 7 months ago
- [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".☆124Updated 8 months ago
- [ICML 2025] Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale☆251Updated this week
- The source code and dataset mentioned in the paper Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmar…☆52Updated 8 months ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆50Updated last month
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆160Updated 2 weeks ago
- This is the repo for our paper "Mr-Ben: A Comprehensive Meta-Reasoning Benchmark for Large Language Models"☆50Updated 8 months ago
- LongQLoRA: Extent Context Length of LLMs Efficiently☆165Updated last year