McGill-NLP / CHASE
Synthetic Data Generation for Evaluation
☆14Updated 2 months ago
Alternatives and similar repositories for CHASE
Users that are interested in CHASE are comparing it to the libraries listed below
Sorting:
- ☆34Updated last month
- Astraios: Parameter-Efficient Instruction Tuning Code Language Models☆57Updated last year
- ☆38Updated last year
- Suri: Multi-constraint instruction following for long-form text generation (EMNLP’24)☆22Updated 6 months ago
- [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training☆21Updated 9 months ago
- General Reasoner: Advancing LLM Reasoning Across All Domains☆82Updated last week
- [arXiv] EvalTree: Profiling Language Model Weaknesses via Hierarchical Capability Trees☆18Updated 2 months ago
- This repository contains the joint use of CPO and SimPO method for better reference-free preference learning methods.☆53Updated 9 months ago
- Organize the Web: Constructing Domains Enhances Pre-Training Data Curation☆47Updated 2 weeks ago
- Repository for "Propagating Knowledge Updates to LMs Through Distillation" (NeurIPS 2023).☆25Updated 8 months ago
- [EMNLP'23] Execution-Based Evaluation for Open Domain Code Generation☆48Updated last year
- ☆120Updated 7 months ago
- ☆45Updated 9 months ago
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆66Updated 6 months ago
- Scalable Meta-Evaluation of LLMs as Evaluators☆42Updated last year
- Evaluate the Quality of Critique☆35Updated 11 months ago
- Revisiting Mid-training in the Era of RL Scaling☆41Updated 3 weeks ago
- Minimum Bayes Risk Decoding for Hugging Face Transformers☆58Updated 11 months ago
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆44Updated last year
- [ICLR'25] Data and code for our paper "Why Does the Effective Context Length of LLMs Fall Short?"☆75Updated 5 months ago
- ☆46Updated 2 months ago
- Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators (Liu et al.; COLM 2024)☆47Updated 3 months ago
- [arXiv preprint] Official Repository for "Evaluating Language Models as Synthetic Data Generators"☆33Updated 5 months ago
- [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages☆46Updated 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
- Codebase for Instruction Following without Instruction Tuning☆34Updated 7 months ago
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆72Updated 9 months ago
- ☆44Updated 9 months ago
- ☆69Updated last year
- Code for Zero-Shot Tokenizer Transfer☆127Updated 4 months ago