uds-lsv / llmft
Fine-tuning large language models with huggingface transformers and deepspeed
☆25Updated 9 months ago
Related projects: ⓘ
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆64Updated 7 months ago
- ☆40Updated last year
- Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant se…☆51Updated last year
- The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"☆109Updated 11 months ago
- ☆69Updated 10 months ago
- ☆47Updated last year
- ☆61Updated 2 years ago
- ☆68Updated 2 months ago
- Official Repository for Dataset Inference for LLMs☆21Updated last month
- ☆74Updated this week
- Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment☆63Updated last year
- code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"☆59Updated 6 months ago
- ☆29Updated 10 months ago
- Data Valuation on In-Context Examples (ACL23)☆22Updated last year
- Teaching Models to Express Their Uncertainty in Words☆36Updated 2 years ago
- ☆30Updated last year
- This repository contains data, code and models for contextual noncompliance.☆17Updated 2 months ago
- Generating diverse counterfactual data for Natural Language Understanding tasks using Large Language Models (LLMs). The generator support…☆34Updated last year
- [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"☆105Updated last year
- Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"☆50Updated last year
- Progressive Prompts: Continual Learning for Language Models☆87Updated last year
- ☆76Updated last year
- ☆22Updated 2 months ago
- Röttger et al. (2023): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆55Updated 8 months ago
- Code and data accompanying our paper on arXiv "Faithful Chain-of-Thought Reasoning".☆151Updated 4 months ago
- Lightweight tool to identify Data Contamination in LLMs evaluation☆39Updated 6 months ago
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆94Updated 10 months ago
- "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)☆78Updated 11 months ago
- Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs☆29Updated 7 months ago
- ☆44Updated 2 weeks ago