josejg / instruction_following_evalLinks
Instruction Following Eval
☆13Updated 6 months ago
Alternatives and similar repositories for instruction_following_eval
Users that are interested in instruction_following_eval are comparing it to the libraries listed below
Sorting:
- Benchmarking Benchmark Leakage in Large Language Models☆54Updated last year
- Exploration of automated dataset selection approaches at large scales.☆46Updated 4 months ago
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆38Updated 2 years ago
- ☆27Updated last year
- ☆14Updated last year
- Teaching Models to Express Their Uncertainty in Words☆39Updated 3 years ago
- Code for "Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model", EMNLP Findings 20…☆28Updated last year
- IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…☆32Updated last year
- Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments (Zhou et al., EMNLP 2024)☆13Updated 9 months ago
- [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training☆22Updated 11 months ago
- Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant se…☆60Updated 2 years ago
- Code for ICML 25 paper "Metadata Conditioning Accelerates Language Model Pre-training (MeCo)"☆41Updated 3 weeks ago
- [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages☆48Updated 7 months ago
- Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment☆69Updated last year
- ☆53Updated last year
- Evaluate the Quality of Critique☆36Updated last year
- Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging☆108Updated last year
- ☆65Updated last year
- [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning☆21Updated 2 years ago
- ☆72Updated last year
- ☆48Updated 2 years ago
- EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue☆35Updated last month
- Repo accompanying our paper "Do Llamas Work in English? On the Latent Language of Multilingual Transformers".☆78Updated last year
- ☆29Updated last year
- the instructions and demonstrations for building a formal logical reasoning capable GLM☆53Updated 10 months ago
- Lightweight tool to identify Data Contamination in LLMs evaluation☆51Updated last year
- Code for "[COLM'25] RepoST: Scalable Repository-Level Coding Environment Construction with Sandbox Testing"☆22Updated 4 months ago
- Organize the Web: Constructing Domains Enhances Pre-Training Data Curation☆57Updated 2 months ago
- ☆87Updated 2 years ago
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆44Updated last year