McGill-NLP / CHASE
Synthetic Data Generation for Evaluation
☆12Updated 2 months ago
Alternatives and similar repositories for CHASE:
Users that are interested in CHASE are comparing it to the libraries listed below
- Astraios: Parameter-Efficient Instruction Tuning Code Language Models☆57Updated last year
- Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators (Liu et al.; COLM 2024)☆47Updated 3 months ago
- ☆46Updated last month
- Codebase for Instruction Following without Instruction Tuning☆34Updated 7 months ago
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆55Updated 7 months ago
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆47Updated last year
- ☆38Updated last year
- The repository contains code for Adaptive Data Optimization☆23Updated 4 months ago
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆53Updated last year
- [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training☆20Updated 8 months ago
- Organize the Web: Constructing Domains Enhances Pre-Training Data Curation☆42Updated 2 months ago
- Implementation of "SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models"☆27Updated 2 months ago
- [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages☆45Updated 4 months ago
- ☆120Updated 6 months ago
- Code and Data Repo for the CoNLL Paper -- Future Lens: Anticipating Subsequent Tokens from a Single Hidden State☆18Updated last year
- This repository contains data, code and models for contextual noncompliance.☆21Updated 9 months ago
- InstructCoder: Instruction Tuning Large Language Models for Code Editing | Oral ACL-2024 srw☆59Updated 6 months ago
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆29Updated last month
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆72Updated 8 months ago
- https://footprints.baulab.info☆17Updated 6 months ago
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆29Updated 3 months ago
- ☆41Updated 3 weeks ago
- Training and Benchmarking LLMs for Code Preference.☆33Updated 5 months ago
- A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models☆47Updated 2 months ago
- ☆70Updated 5 months 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
- ☆22Updated 10 months ago
- [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".☆52Updated last month
- [EMNLP 2023, Findings] GRACE: Discriminator-Guided Chain-of-Thought Reasoning☆47Updated 6 months ago
- Suri: Multi-constraint instruction following for long-form text generation (EMNLP’24)☆22Updated 5 months ago