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adversarial-examples-in-text-classification

(ACL Findings 2022) Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation

bangawayoo.github.io

clinical-llava

clinicalnlp-mipal

Source codes for experiments on MEDIQA-M3G

fedml

A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)

fednlp

FedNLP: A Research Platform for Federated Learning in Natural Language Processing

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

lit-gpt

Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

llama-recipe

llava-med

Large Language-and-Vision Assistant for BioMedicine, built towards multimodal GPT-4 level capabilities.

mb-lm-watermarking

multi-bit language model watermarking

nlp-watermarking

Robust natural language watermarking using invariant features

notebooks

Notebooks using the Hugging Face libraries 🤗

psg-pytorch

Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)

selfcheckgpt

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

taadpapers

Must-read Papers on Textual Adversarial Attack and Defense

three_bricks

Official Implementation of the paper "Three Bricks to Consolidate Watermarks for LLMs"