HowieHwong / TrustGPTLinks
Can We Trust Large Language Models?: A Benchmark for Responsible Large Language Models via Toxicity, Bias, and Value-alignment Evaluation
☆24Updated last year
Alternatives and similar repositories for TrustGPT
Users that are interested in TrustGPT are comparing it to the libraries listed below
Sorting:
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆32Updated last year
- [EMNLP 2024] A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners☆21Updated 5 months ago
- ☆20Updated 7 months ago
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆35Updated 11 months ago
- Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch☆29Updated last week
- Interpretable unified language safety checking with large language models☆30Updated 2 years ago
- This repository includes a benchmark and code for the paper "Evaluating LLMs at Detecting Errors in LLM Responses".☆29Updated 9 months 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 9 months ago
- DuoGuard: A Two-Player RL-Driven Framework for Multilingual LLM Guardrails☆23Updated 3 months ago
- [NAACL 2024 Findings] Evaluation suite for the systematic evaluation of instruction selection methods.☆22Updated last year
- EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue☆35Updated last week
- Adding new tasks to T0 without catastrophic forgetting☆33Updated 2 years ago
- ☆28Updated 7 months ago
- ☆14Updated last year
- A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.☆85Updated last year
- ☆27Updated 2 years ago
- ☆10Updated 3 years ago
- [ACL'24] Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements☆23Updated 8 months ago
- Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs☆36Updated last year
- [ICLR 2024] Unveiling the Pitfalls of Knowledge Editing for Large Language Models☆22Updated 11 months ago
- [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
- ☆13Updated 2 years ago
- [ICML 2023] Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning☆42Updated 2 years ago
- A framework for evolving and testing question-answering datasets with various models.☆16Updated last year
- Few-shot Learning with Auxiliary Data☆28Updated last year
- Restore safety in fine-tuned language models through task arithmetic☆28Updated last year
- Code, datasets and results of the ChatGPT evaluation presented in paper "ChatGPT: Jack of all trades, master of none"☆29Updated 2 years ago
- Code for paper: "LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits"☆13Updated 8 months ago
- ☆16Updated 10 months ago