YJiangcm / FollowBenchLinks
[ACL 2024] FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
☆117Updated 6 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)☆98Updated 10 months ago
- CFBench: A Comprehensive Constraints-Following Benchmark for LLMs☆45Updated last year
- ☆57Updated last year
- [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues☆132Updated last year
- Collection of papers for scalable automated alignment.☆94Updated last year
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆197Updated 2 weeks ago
- Code and data for the paper "Can Large Language Models Understand Real-World Complex Instructions?"(AAAI2024)☆50Updated last year
- ☆52Updated 9 months ago
- 🐋 An unofficial implementation of Self-Alignment with Instruction Backtranslation.☆138Updated 7 months ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆83Updated 11 months ago
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆184Updated 6 months ago
- Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…☆53Updated last year
- Towards Systematic Measurement for Long Text Quality☆37Updated last year
- EMNLP'2023: Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration☆36Updated last year
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆134Updated last year
- Logiqa2.0 dataset - logical reasoning in MRC and NLI tasks☆100Updated 2 years ago
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆85Updated last year
- [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Models☆58Updated last year
- ☆70Updated last year
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆71Updated 7 months ago
- Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models☆270Updated last year
- [ACL 2024] Long-Context Language Modeling with Parallel Encodings☆167Updated last year
- Do Large Language Models Know What They Don’t Know?☆102Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆64Updated last year
- ☆109Updated 5 months ago
- 🍼 Official implementation of Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts☆41Updated last year
- ACL 2024 | LooGLE: Long Context Evaluation for Long-Context Language Models☆193Updated last year
- Dataset and evaluation script for "Evaluating Hallucinations in Chinese Large Language Models"☆136Updated last year
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆132Updated 2 years ago
- [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)☆181Updated 10 months ago