YJiangcm / FollowBench
[ACL 2024] FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
☆97Updated 3 months ago
Alternatives and similar repositories for FollowBench:
Users that are interested in FollowBench are comparing it to the libraries listed below
- Benchmarking Complex Instruction-Following with Multiple Constraints Composition (NeurIPS 2024 Datasets and Benchmarks Track)☆70Updated 3 weeks ago
- ☆52Updated 6 months ago
- [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues☆76Updated 7 months ago
- Code and data for the paper "Can Large Language Models Understand Real-World Complex Instructions?"(AAAI2024)☆47Updated 11 months ago
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆146Updated 6 months ago
- Collection of papers for scalable automated alignment.☆86Updated 4 months ago
- ☆98Updated 5 months ago
- Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…☆46Updated 8 months ago
- Towards Systematic Measurement for Long Text Quality☆33Updated 6 months ago
- CFBench: A Comprehensive Constraints-Following Benchmark for LLMs☆30Updated 6 months ago
- ☆80Updated last year
- [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)☆114Updated last month
- Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation☆75Updated 4 months ago
- ☆134Updated 11 months ago
- EMNLP'2023: Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration☆36Updated last year
- EMNLP'2024: Knowledge Verification to Nip Hallucination in the Bud☆22Updated last year
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆79Updated last year
- Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process☆24Updated 7 months ago
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆66Updated 3 months ago
- Do Large Language Models Know What They Don’t Know?☆92Updated 4 months ago
- Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning☆160Updated last year
- We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆60Updated 4 months ago
- [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Models☆54Updated 7 months ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆73Updated 2 months ago
- ☆15Updated last year
- Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"☆72Updated 9 months ago
- 🐋 An unofficial implementation of Self-Alignment with Instruction Backtranslation.☆137Updated 8 months ago
- Dataset and evaluation script for "Evaluating Hallucinations in Chinese Large Language Models"☆123Updated 9 months ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆158Updated 8 months ago
- ☆40Updated 2 weeks ago