princeton-nlp / InstructEvalLinks
[NAACL 2024 Findings] Evaluation suite for the systematic evaluation of instruction selection methods.
☆23Updated 2 years ago
Alternatives and similar repositories for InstructEval
Users that are interested in InstructEval are comparing it to the libraries listed below
Sorting:
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆54Updated last year
- A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.☆90Updated last year
- the instructions and demonstrations for building a formal logical reasoning capable GLM☆55Updated last year
- Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment☆69Updated 2 years ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆52Updated 7 months ago
- CodeUltraFeedback: aligning large language models to coding preferences (TOSEM 2025)☆73Updated last year
- Code for RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. ACL 2023.☆64Updated last year
- A dataset of LLM-generated chain-of-thought steps annotated with mistake location.☆85Updated last year
- Lightweight tool to identify Data Contamination in LLMs evaluation☆53Updated last year
- Exploration of automated dataset selection approaches at large scales.☆53Updated 10 months ago
- ☆28Updated 2 months ago
- ☆47Updated last year
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- Source code of "Reasons to Reject? Aligning Language Models with Judgments"☆58Updated last year
- Code and data for "MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models"☆50Updated last month
- [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…☆29Updated last year
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆62Updated last year
- ☆102Updated 2 years ago
- Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models☆48Updated 2 years ago
- [NAACL 2024] Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models☆86Updated last year
- Self-Alignment with Principle-Following Reward Models☆169Updated 3 months ago
- Directional Preference Alignment☆58Updated last year
- [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"☆109Updated 2 years ago
- Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators (Liu et al.; COLM 2024)☆48Updated 11 months ago
- Evaluate the Quality of Critique☆36Updated last year
- Scalable Meta-Evaluation of LLMs as Evaluators☆43Updated last year
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆39Updated last year
- Code and models for EMNLP 2024 paper "WPO: Enhancing RLHF with Weighted Preference Optimization"☆41Updated last year
- ToolBench, an evaluation suite for LLM tool manipulation capabilities.☆168Updated last year
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆46Updated 8 months ago