kmeng01 / memitLinks
Mass-editing thousands of facts into a transformer memory (ICLR 2023)
☆505Updated last year
Alternatives and similar repositories for memit
Users that are interested in memit are comparing it to the libraries listed below
Sorting:
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆538Updated 5 months ago
- Locating and editing factual associations in GPT (NeurIPS 2022)☆649Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆546Updated last year
- ☆289Updated last year
- Learning to Compress Prompts with Gist Tokens - https://arxiv.org/abs/2304.08467☆289Updated 5 months ago
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆502Updated 6 months ago
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆640Updated 11 months ago
- [EMNLP 2023] Adapting Language Models to Compress Long Contexts☆307Updated 10 months ago
- Representation Engineering: A Top-Down Approach to AI Transparency☆848Updated 11 months ago
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆350Updated last year
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆501Updated last year
- ☆310Updated last year
- Tools for understanding how transformer predictions are built layer-by-layer☆505Updated last year
- RewardBench: the first evaluation tool for reward models.☆612Updated last month
- [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning☆656Updated last year
- Landmark Attention: Random-Access Infinite Context Length for Transformers☆423Updated last year
- PaL: Program-Aided Language Models (ICML 2023)☆502Updated 2 years ago
- [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning☆244Updated last year
- ☆238Updated 2 years ago
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆388Updated last year
- ☆523Updated 7 months ago
- A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.☆369Updated last year
- This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.☆484Updated last year
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆458Updated last year
- ☆270Updated 2 years ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆868Updated 2 weeks ago
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆397Updated last year
- TART: A plug-and-play Transformer module for task-agnostic reasoning☆200Updated 2 years ago
- DSIR large-scale data selection framework for language model training☆252Updated last year
- [ICLR 2023] Code for the paper "Binding Language Models in Symbolic Languages"☆319Updated last year