Lists (2)
Stars
[ICML 2024] Official repository for "Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models"
g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains
[ACL 2024] RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback.
FaKnow is designed for reproducing and developing fake news detection algorithms.
Dataset for paper "Weak Supervision for Fake News Detection via Reinforcement Learning" published in AAAI'2020.
We introduce MM-Soc, a comprehensive benchmark designed to evaluate MLLMs' understanding of multimodal social media content.
r/Fakeddit New Multimodal Benchmark Dataset for Fine-grained Fake News Detection
A collection of GNN-based fake news detection models.
This is a dataset for fake news detection research
Github repository for "RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models"
[NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
Benchmarking Multi-Agent Debate between Language Models for Truthfulness in Q&A.
Code for ACL2024 paper - Adversarial Preference Optimization (APO).
Evaluating LLMs with fewer examples
This is the official github repo of Think-on-Graph. If you are interested in our work or willing to join our research team in Shenzhen, please feel free to contact us by email ([email protected])
Official Implementation of ICLR 2024 paper: "Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning"
[ICLR2024] Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.
A principled instruction benchmark on formulating effective queries and prompts for large language models (LLMs). Our paper: https://arxiv.org/abs/2312.16171
The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval