YJiangcm / FollowBenchLinks
[ACL 2024] FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
☆117Updated 5 months ago
Alternatives and similar repositories for FollowBench
Users that are interested in FollowBench are comparing it to the libraries listed below
Sorting:
- Benchmarking Complex Instruction-Following with Multiple Constraints Composition (NeurIPS 2024 Datasets and Benchmarks Track)☆97Updated 8 months ago
- ☆58Updated last year
- Collection of papers for scalable automated alignment.☆94Updated last year
- 🐋 An unofficial implementation of Self-Alignment with Instruction Backtranslation.☆138Updated 6 months ago
- Code and data for the paper "Can Large Language Models Understand Real-World Complex Instructions?"(AAAI2024)☆50Updated last year
- CFBench: A Comprehensive Constraints-Following Benchmark for LLMs☆44Updated last year
- [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues☆125Updated last year
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆133Updated last year
- Do Large Language Models Know What They Don’t Know?☆101Updated last year
- Towards Systematic Measurement for Long Text Quality☆37Updated last year
- ☆52Updated 8 months ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆192Updated last year
- ☆108Updated 4 months ago
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆181Updated 4 months ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆82Updated 10 months ago
- [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)☆177Updated 9 months ago
- InsTag: A Tool for Data Analysis in LLM Supervised Fine-tuning☆281Updated 2 years ago
- ☆69Updated last year
- [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Models☆58Updated last year
- EMNLP'2023: Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration☆36Updated last year
- 🍼 Official implementation of Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts☆41Updated last year
- ☆86Updated last year
- Dataset and evaluation script for "Evaluating Hallucinations in Chinese Large Language Models"☆135Updated last year
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆70Updated 6 months ago
- Explore what LLMs are really leanring over SFT☆28Updated last year
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆131Updated 2 years ago
- Logiqa2.0 dataset - logical reasoning in MRC and NLI tasks☆99Updated 2 years ago
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆83Updated last year
- ☆75Updated last year
- Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation☆90Updated last year