Bolin97 / awesome-instruction-selectorLinks
Paper list and datasets for the paper: A Survey on Data Selection for LLM Instruction Tuning
☆44Updated last year
Alternatives and similar repositories for awesome-instruction-selector
Users that are interested in awesome-instruction-selector are comparing it to the libraries listed below
Sorting:
- [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".☆120Updated 7 months ago
- ☆81Updated last year
- ☆74Updated last year
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆123Updated 8 months ago
- Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…☆48Updated 11 months ago
- [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆63Updated 7 months ago
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆157Updated 8 months ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆174Updated 11 months ago
- [EMNLP 2023] Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts☆27Updated last year
- [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)☆138Updated 3 months ago
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆80Updated last year
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆64Updated last year
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆78Updated 4 months ago
- Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning☆164Updated last year
- Code implementation of synthetic continued pretraining☆110Updated 4 months ago
- [ACL 2024] FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models☆100Updated last month
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆111Updated 8 months ago
- Fantastic Data Engineering for Large Language Models☆89Updated 5 months ago
- Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"☆155Updated 2 weeks ago
- ☆28Updated last year
- Collection of papers for scalable automated alignment.☆90Updated 7 months ago
- Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"☆47Updated last year
- Model merging is a highly efficient approach for long-to-short reasoning.☆47Updated 2 months ago
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆55Updated last year
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆61Updated 5 months ago
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆68Updated 3 weeks ago
- Code and data for the paper "Can Large Language Models Understand Real-World Complex Instructions?"(AAAI2024)☆48Updated last year
- ☆42Updated last year
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆130Updated last year
- ☆60Updated last week