csinva / tree-prompt
Tree prompting: easy-to-use scikit-learn interface for improved prompting.
☆35Updated last year
Alternatives and similar repositories for tree-prompt:
Users that are interested in tree-prompt are comparing it to the libraries listed below
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆31Updated 8 months ago
- ☆15Updated 6 months ago
- This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"☆17Updated 11 months ago
- ☆20Updated 8 months ago
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆51Updated 10 months ago
- Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"☆64Updated 7 months ago
- Codebase for Instruction Following without Instruction Tuning☆33Updated 4 months ago
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆46Updated last year
- Implementation of PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆31Updated 2 months ago
- Unofficial Implementation of Chain-of-Thought Reasoning Without Prompting☆26Updated 10 months ago
- Evaluate the Quality of Critique☆35Updated 7 months ago
- A dataset of LLM-generated chain-of-thought steps annotated with mistake location.☆77Updated 5 months ago
- Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators (Liu et al.; COLM 2024)☆41Updated last week
- Mosaic IT: Enhancing Instruction Tuning with Data Mosaics☆17Updated 6 months ago
- [ICLR 2024] Unveiling the Pitfalls of Knowledge Editing for Large Language Models☆22Updated 7 months ago
- ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"☆32Updated this week
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆29Updated last week
- [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".☆45Updated last month
- Accompanying code for "Boosted Prompt Ensembles for Large Language Models"☆30Updated last year
- ☆17Updated 3 months ago
- ☆23Updated 2 months ago
- [EMNLP 2024] A Retrieval Benchmark for Scientific Literature Search☆69Updated last month
- Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"☆80Updated 11 months ago
- ☆36Updated last year
- m&ms: A Benchmark to Evaluate Tool-Use for multi-step multi-modal tasks☆35Updated 4 months ago
- ☆37Updated 5 months ago
- The repository contains code for Adaptive Data Optimization☆20Updated last month
- ☆10Updated 4 months ago
- ☆26Updated last year