acewjh

acewjh's Stars

• HqWu-HITCS/Awesome-Chinese-LLM

  整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

  15.9k203261.5k

• huggingface/alignment-handbook

  Robust recipes to align language models with human and AI preferences

  Language:Python4.7k111136406

• opendilab/awesome-RLHF

  A curated list of reinforcement learning with human feedback resources (continually updated)

  3.4k613211

• PKU-Alignment/safe-rlhf

  Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

  Language:Python1.3k1785119

• vectara/hallucination-leaderboard

  Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents

  Language:Python1.2k361548

• snwfdhmp/awesome-gpt-prompt-engineering

  A curated list of awesome resources, tools, and other shiny things for LLM prompt engineering.

  Language:Python1k295109

• Libr-AI/OpenFactVerification

  Loki: Open-source solution designed to automate the process of verifying factuality

  Language:Python1k5744

• ydyjya/Awesome-LLM-Safety

  A curated list of safety-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide researchers, practitioners, and enthusiasts with insights into the safety implications, challenges, and advancements surrounding these powerful models.

  97316854

• ThuCCSLab/Awesome-LM-SSP

  A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).

  912232058

• EdinburghNLP/awesome-hallucination-detection

  List of papers on hallucination detection in LLMs.

  66927453

• google-deepmind/long-form-factuality

  Benchmarking long-form factuality in large language models. Original code for our paper "Long-form factuality in large language models".

  Language:Python54310161

• potsawee/selfcheckgpt

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

  Language:Python46762654

• showlab/Awesome-MLLM-Hallucination

  📖 A curated list of resources dedicated to hallucination of multimodal large language models (MLLM).

  4366713

• amazon-science/RefChecker

  RefChecker provides automatic checking pipeline and benchmark dataset for detecting fine-grained hallucinations generated by Large Language Models.

  Language:Python299101230

• thu-coai/BPO

  Language:Python29342115

• InternLM/OpenAOE

  LLM Group Chat Framework: chat with multiple LLMs at the same time. 大模型群聊框架：同时与多个大语言模型聊天。

  Language:TypeScript2496823

• zjunlp/IEPile

  [ACL 2024] IEPile: A Large-Scale Information Extraction Corpus

  Language:Python16772716

• xieyuquanxx/awesome-Large-MultiModal-Hallucination

  😎 up-to-date & curated list of awesome LMM hallucinations papers, methods & resources.

  1445112

• junyangwang0410/AMBER

  An LLM-free Multi-dimensional Benchmark for Multi-modal Hallucination Evaluation

  Language:Python93142

• yinzhangyue/SelfAware

  Do Large Language Models Know What They Don’t Know?

  Language:Python85325

• zjunlp/FactCHD

  [IJCAI 2024] FactCHD: Benchmarking Fact-Conflicting Hallucination Detection

  Language:Python81423

• OpenKG-ORG/EasyDetect

  An Easy-to-use Hallucination Detection Framework for LLMs.

  Language:Python49423

• javyduck/KnowHalu

  Language:Python44203

• terrierteam/pyterrier_doc2query

  Language:Jupyter Notebook37449

• Ki-Seki/chat_prompt_templates

  Collection of Basic Prompt Templates for Various Chat LLMs (Chat LLM 的基础提示模板集合)

  33205

• AIFlames/Flames

  Flames is a highly adversarial benchmark in Chinese for LLM's harmlessness evaluation developed by Shanghai AI Lab and Fudan NLP Group.

  31210

• WhitzardIndex/WhitzardBench-2024A

  复旦白泽大模型安全基准测试集（2024年夏季版）

  25103

• webis-de/ACL-22

  162100

• jiazhen-code/IntrinsicHallu

  9320

• kinit-sk/disinformation-capabilities

  Implementation of the paper "Disinformation Capabilities of Large Language Models"

  Language:Jupyter Notebook4100