krzz2q

krzz2q's Stars

• OpenBMB/ToolBench

  [ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.

  Language:Python4.9k49305429

• noahshinn/reflexion

  [NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning

  Language:Python2.5k2936245

• KaiDMML/FakeNewsNet

  This is a dataset for fake news detection research

  Language:Python1.1k4273434

• Libr-AI/OpenFactVerification

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

  Language:Python1k5745

• parthsarthi03/raptor

  The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

  Language:Python1k1244142

• VILA-Lab/ATLAS

  A principled instruction benchmark on formulating effective queries and prompts for large language models (LLMs). Our paper: https://arxiv.org/abs/2312.16171

  Language:Python93924994

• madaan/self-refine

  LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.

  Language:Python647142154

• safe-graph/GNN-FakeNews

  A collection of GNN-based fake news detection models.

  Language:Python46282291

• IDEA-FinAI/ToG

  This is the official github repo of Think-on-Graph (ICLR 2024). If you are interested in our work or willing to join our research team in Shenzhen, please feel free to contact us by email (xuchengjin@idea.edu.cn)

  Language:Python44603751

• RManLuo/reasoning-on-graphs

  Official Implementation of ICLR 2024 paper: "Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning"

  Language:Python34982146

• freshllms/freshqa

  Data and code for FreshLLMs (https://arxiv.org/abs/2310.03214)

  Language:Jupyter Notebook33320216

• entitize/Fakeddit

  r/Fakeddit New Multimodal Benchmark Dataset for Fine-grained Fake News Detection

  Language:Python17671932

• ICTMCG/LLM-for-misinformation-research

  Paper list of misinformation research using (multi-modal) large language models, i.e., (M)LLMs.

  173707

• felipemaiapolo/tinyBenchmarks

  Evaluating LLMs with fewer examples

  Language:Jupyter Notebook14031015

• yaqingwang/WeFEND-AAAI20

  Dataset for paper "Weak Supervision for Fake News Detection via Reinforcement Learning" published in AAAI'2020.

  Language:Jupyter Notebook1315726

• ParticleMedia/RAGTruth

  Github repository for "RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models"

  Language:Python1269912

• Jindi0/SAFE

  Language:Python6111415

• DAMO-NLP-SG/chain-of-knowledge

  [ICLR2024] Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources

  Language:Python59559

• Linear95/APO

  Code for ACL2024 paper - Adversarial Preference Optimization (APO).

  Language:Python49133

• bigheiniu/MM-COVID

  Cross Linugual COVID-19 Fake News Dataset

  Language:Python35557

• NPURG/FaKnow

  FaKnow is designed for reproducing and developing fake news detection algorithms.

  Language:Python34040

• open-compass/ANAH

  [ACL 2024] ANAH & [NeurIPS 2024] ANAH-v2

  Language:Python27412

• instadeepai/DebateLLM

  Benchmarking Multi-Agent Debate between Language Models for Truthfulness in Q&A.

  Language:Jupyter Notebook24322

• Yixiao-Song/VeriScore

  Language:Python14231

• junyachen/Data-examples

  11103

• fakenewsresearch/dataset

  910

• jasenchn/checkwhy

  9110

• zhaoyiran924/Adv-In-Context-Learning

  [ACL 2024] Prompt Optimization via Adversarial In-Context Learning

  Language:Python9251

• TpBlair/awesome-rumor-detection

  Awesome-rumor dection

  50

• claws-lab/MMSoc

  We introduce MM-Soc, a comprehensive benchmark designed to evaluate MLLMs' understanding of multimodal social media content.

  Language:Python341