Betswish

Betswish's Stars

• WhatTheBlock/WindowsSimplify

  Windows Simplify Project

  1.1k95

• Betswish/MIRAGE-reproduce

  Code for reproducing all experimental results in our MIRAGE paper: https://arxiv.org/abs/2406.13663

  Language:Python1

• lyutyuh/poptimizer

  Language:Python6

• Betswish/MIRAGE

  Easy-to-use MIRAGE code for faithful answer attribution in RAG applications. Paper: https://arxiv.org/abs/2406.13663

  Language:Python161

• shin-ee-chen/SIFo

  Evaluating large language models for sequential instruction following (SIFo).

  Language:Python5

• EdinburghNLP/awesome-hallucination-detection

  List of papers on hallucination detection in LLMs.

  68557

• Betswish/Cross-Lingual-Consistency

  Easy-to-use framework for evaluating cross-lingual consistency of factual knowledge (Supported LLaMA, BLOOM, mT5, RoBERTa, etc.) Paper here: https://aclanthology.org/2023.emnlp-main.658/

  Language:Python211

• RayeRen/acad-homepage.github.io

  AcadHomepage: A Modern and Responsive Academic Personal Homepage

  Language:SCSS1.5k2.9k

• hiyouga/LLaMA-Factory

  Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

  Language:Python35.1k4.3k

• 0voice/expert_readed_books

  2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，**类，数学类，人物传记书籍

  8.1k2.6k

• hiyouga/FastEdit

  🩹Editing large language models within 10 seconds⚡

  Language:Python1.3k90

• zjunlp/EasyEdit

  [ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

  Language:Jupyter Notebook2k235

• zjunlp/KnowledgeEditingPapers

  Must-read Papers on Knowledge Editing for Large Language Models.

  93460

• inseq-team/inseq

  Interpretability for sequence generation models 🐛 🔍

  Language:Python37836