Code and data to go with the Zhu et al. paper "An Objective for Nuanced LLM Jailbreaks"

NeurIPS 2024 tutorial on LLM Inference

Code for our paper PAPILLON: PrivAcy Preservation from Internet-based and Local Language MOdel ENsembles

PyTorch library for Active Fine-Tuning

SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433

This repository includes the official implementation of OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs.

SILO Language Models code repository

A certifier for bias in LLMs

Fast Memorization of Prompt Improves Context Awareness of Large Language Models (Findings of EMNLP 2024)

LOFT: A 1 Million+ Token Long-Context Benchmark

Code and example data for the paper: Rule Based Rewards for Language Model Safety

Code for Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World

Test equality between a black-box LLM API and a reference distribution

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Code repository for the paper - "Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass"

Sparse Autoencoder for Mechanistic Interpretability

Code accompanying "How I learned to start worrying about prompt formatting".

Public code to accompany Low Probability Estimation paper.

Awesome LLM Self-Consistency: a curated list of Self-consistency in Large Language Models