fanqiwan / Explore-InstructLinks
EMNLP'2023: Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration
☆36Updated last year
Alternatives and similar repositories for Explore-Instruct
Users that are interested in Explore-Instruct are comparing it to the libraries listed below
Sorting:
- [ACL 2024] FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models☆117Updated 5 months ago
- ☆76Updated last year
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆182Updated 5 months ago
- Collection of papers for scalable automated alignment.☆94Updated last year
- ☆57Updated last year
- Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning☆166Updated last year
- Code and data for the paper "Can Large Language Models Understand Real-World Complex Instructions?"(AAAI2024)☆50Updated last year
- 🐋 An unofficial implementation of Self-Alignment with Instruction Backtranslation.☆138Updated 6 months ago
- Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"☆58Updated 3 years ago
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆84Updated last year
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆82Updated 10 months ago
- ☆69Updated last year
- Official Implementation of "Probing Language Models for Pre-training Data Detection"☆20Updated 11 months ago
- Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation☆90Updated last year
- ☆47Updated last year
- ☆86Updated last year
- [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Models☆58Updated last year
- ☆146Updated last year
- ☆88Updated 11 months ago
- ConvGQR: Generative Query Reformulation for Conversational Search. A codebase for ACL 2023 accepted paper.☆32Updated last year
- Towards Systematic Measurement for Long Text Quality☆37Updated last year
- Do Large Language Models Know What They Don’t Know?☆102Updated last year
- self-adaptive in-context learning☆45Updated 2 years ago
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆132Updated 2 years ago
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆119Updated last year
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆125Updated last year
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆193Updated last year
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆78Updated last year
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆69Updated last year
- ACL'23: Unified Demonstration Retriever for In-Context Learning☆37Updated 2 years ago