jxzhangjhu / Awesome-LLM-Uncertainty-Reliability-RobustnessLinks
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
☆776Updated 3 months ago
Alternatives and similar repositories for Awesome-LLM-Uncertainty-Reliability-Robustness
Users that are interested in Awesome-LLM-Uncertainty-Reliability-Robustness are comparing it to the libraries listed below
Sorting:
- Must-read Papers on Knowledge Editing for Large Language Models.☆1,130Updated last month
- This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.☆543Updated 9 months ago
- Paper List for In-context Learning 🌷☆859Updated 10 months ago
- Reading list of hallucination in LLMs. Check out our new survey paper: "Siren’s Song in the AI Ocean: A Survey on Hallucination in Large …☆1,034Updated 9 months ago
- List of papers on hallucination detection in LLMs.☆940Updated 2 months ago
- Codebase for reproducing the experiments of the semantic uncertainty paper (short-phrase and sentence-length experiments).☆355Updated last year
- [ACL 2023] Reasoning with Language Model Prompting: A Survey☆979Updated 3 months ago
- This repository contains a collection of papers and resources on Reasoning in Large Language Models.☆564Updated last year
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆769Updated 2 years ago
- [ICML 2024] TrustLLM: Trustworthiness in Large Language Models☆588Updated last month
- Aligning Large Language Models with Human: A Survey☆731Updated last year
- This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.☆497Updated last year
- LLM hallucination paper list☆322Updated last year
- ☆172Updated last year
- A resource repository for machine unlearning in large language models☆457Updated last month
- A curated list of LLM Interpretability related material - Tutorial, Library, Survey, Paper, Blog, etc..☆265Updated 5 months ago
- Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.☆501Updated last week
- This repository collects all relevant resources about interpretability in LLMs☆368Updated 9 months ago
- Representation Engineering: A Top-Down Approach to AI Transparency☆865Updated last year
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆542Updated 6 months ago
- A resource repository for representation engineering in large language models☆130Updated 9 months ago
- Papers and Datasets on Instruction Tuning and Following. ✨✨✨☆499Updated last year
- An Extensible Continual Learning Framework Focused on Language Models (LMs)☆284Updated last year
- A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.☆376Updated last year
- awesome papers in LLM interpretability☆535Updated this week
- ☆597Updated 3 weeks ago
- [CSUR 2025] Continual Learning of Large Language Models: A Comprehensive Survey☆442Updated 3 months ago
- A reading list for papers on causality for natural language processing (NLP)☆660Updated 2 months ago
- ☆46Updated last year
- A Survey on Data Selection for Language Models☆247Updated 3 months ago