PlusLabNLP / Active-ITLinks
Code for our EMNLP-2023 paper: "Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks"
☆24Updated last year
Alternatives and similar repositories for Active-IT
Users that are interested in Active-IT are comparing it to the libraries listed below
Sorting:
- Collection of papers for scalable automated alignment.☆93Updated 10 months ago
- Towards Systematic Measurement for Long Text Quality☆37Updated 11 months ago
- Do Large Language Models Know What They Don’t Know?☆99Updated 9 months ago
- ☆104Updated last month
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆132Updated 2 years ago
- ☆17Updated 5 months ago
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆129Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆62Updated last year
- ☆56Updated last year
- 🐋 An unofficial implementation of Self-Alignment with Instruction Backtranslation.☆139Updated 3 months ago
- ☆53Updated last year
- self-adaptive in-context learning☆45Updated 2 years ago
- Resources for our ACL 2023 paper: Distilling Script Knowledge from Large Language Models for Constrained Language Planning☆36Updated 2 years ago
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆83Updated last year
- [ACL 2024] FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models☆110Updated 2 months ago
- ACL'23: Unified Demonstration Retriever for In-Context Learning☆38Updated last year
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆185Updated last year
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆169Updated 2 months ago
- 🩺 A collection of ChatGPT evaluation reports on various bechmarks.☆50Updated 2 years ago
- Benchmarking Complex Instruction-Following with Multiple Constraints Composition (NeurIPS 2024 Datasets and Benchmarks Track)☆91Updated 6 months ago
- Code and data for the paper "Can Large Language Models Understand Real-World Complex Instructions?"(AAAI2024)☆49Updated last year
- ☆68Updated last year
- Lightweight tool to identify Data Contamination in LLMs evaluation☆51Updated last year
- ☆41Updated last year
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆74Updated 9 months ago
- The implementation of paper "LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Fee…☆38Updated last year
- Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…☆51Updated 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…☆115Updated last year
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆69Updated 8 months ago
- CFBench: A Comprehensive Constraints-Following Benchmark for LLMs☆38Updated 11 months ago