voidism / DoLa
Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
☆452Updated 8 months ago
Alternatives and similar repositories for DoLa:
Users that are interested in DoLa are comparing it to the libraries listed below
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆524Updated last month
- This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.☆428Updated 11 months ago
- RewardBench: the first evaluation tool for reward models.☆491Updated last week
- ☆251Updated last year
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆400Updated 2 months ago
- [EMNLP 2023] Adapting Language Models to Compress Long Contexts☆292Updated 4 months ago
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆447Updated 9 months ago
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆388Updated 8 months ago
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆493Updated 3 months ago
- ☆247Updated 5 months ago
- LLM hallucination paper list☆299Updated 10 months ago
- Generative Judge for Evaluating Alignment☆223Updated last year
- A Survey on Data Selection for Language Models☆201Updated 3 months ago
- A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic…☆314Updated 7 months ago
- Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.☆382Updated 9 months ago
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆538Updated 10 months ago
- Official repository for ORPO☆430Updated 7 months ago
- FuseAI Project☆465Updated 3 weeks ago
- This repository provides an original implementation of Detecting Pretraining Data from Large Language Models by *Weijia Shi, *Anirudh Aji…☆215Updated last year
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆377Updated 3 months ago
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆324Updated last year
- A large-scale, fine-grained, diverse preference dataset (and models).☆325Updated last year
- [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark☆368Updated 6 months ago
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆609Updated 5 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆785Updated 2 weeks ago
- [ACL 2024] LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement☆172Updated 9 months ago
- Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models☆233Updated 4 months ago
- [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning☆221Updated last year
- ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings - NeurIPS 2023 (oral)☆250Updated 9 months ago
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆469Updated 3 months ago