filtir / awesome-AI-fact-checkingLinks
A collection of papers tackling automatic fact-checking (particularly of AI-generated content)
☆14Updated last year
Alternatives and similar repositories for awesome-AI-fact-checking
Users that are interested in awesome-AI-fact-checking are comparing it to the libraries listed below
Sorting:
- This repository contains the code and data for the paper "VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception o…☆23Updated 3 months ago
- ☆27Updated 2 years ago
- The official GitHub page for paper "NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional St…☆22Updated last year
- Tasks for describing differences between text distributions.☆16Updated 10 months ago
- We introduce EMMET and unify model editing with popular algorithms ROME and MEMIT.☆22Updated 6 months ago
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆43Updated last year
- [EMNLP 2024] A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners☆23Updated 6 months ago
- Project for SNARE benchmark☆11Updated last year
- This repository includes a benchmark and code for the paper "Evaluating LLMs at Detecting Errors in LLM Responses".☆29Updated 10 months ago
- Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch☆30Updated this week
- [NeurIPS 2023 Main Track] This is the repository for the paper titled "Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Lea…☆74Updated last year
- Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment☆69Updated last year
- Aioli: A unified optimization framework for language model data mixing☆27Updated 5 months ago
- CodeUltraFeedback: aligning large language models to coding preferences☆71Updated last year
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆30Updated 5 months ago
- official repo of AAAI2024 paper Mitigating the Impact of False Negatives in Dense Retrieval with Contrastive Confidence Regularization☆13Updated last year
- Script for processing OpenAI's PRM800K process supervision dataset into an Alpaca-style instruction-response format☆27Updated last year
- ☆29Updated 2 years ago
- [ACL 2025 Findings] Official implementation of the paper "Unveiling the Key Factors for Distilling Chain-of-Thought Reasoning".☆15Updated 4 months ago
- Tree prompting: easy-to-use scikit-learn interface for improved prompting.☆37Updated last year
- Code for "Merging Text Transformers from Different Initializations"☆20Updated 4 months ago
- [EMNLP 2023 Industry Track] A simple prompting approach that enables the LLMs to run inference in batches.☆74Updated last year
- Code for T-MARS data filtering☆35Updated last year
- Improving Language Understanding from Screenshots. Paper: https://arxiv.org/abs/2402.14073☆28Updated 11 months ago
- This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"☆17Updated last year
- Code and data for the ACL 2024 Findings paper "Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning"☆26Updated last year
- ☆32Updated 5 months ago
- Scalable Meta-Evaluation of LLMs as Evaluators☆42Updated last year
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- ☆16Updated 11 months ago