MiaoXiong2320 / llm-uncertaintyLinks
code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"
☆137Updated last year
Alternatives and similar repositories for llm-uncertainty
Users that are interested in llm-uncertainty are comparing it to the libraries listed below
Sorting:
- [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models☆59Updated last year
- ☆181Updated last year
- source code for NeurIPS'24 paper "HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection"☆64Updated 8 months ago
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆63Updated last year
- ☆103Updated last year
- ☆40Updated last year
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆67Updated last year
- Code for Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities (NeurIPS'24)☆32Updated last year
- ☆57Updated 2 years ago
- ☆29Updated last year
- A curated list of resources for activation engineering☆119Updated 2 months ago
- ☆65Updated 9 months ago
- [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs☆51Updated 6 months ago
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆85Updated 9 months ago
- EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue☆38Updated 6 months ago
- [EMNLP 2023] Poisoning Retrieval Corpora by Injecting Adversarial Passages https://arxiv.org/abs/2310.19156☆45Updated 2 years ago
- LoFiT: Localized Fine-tuning on LLM Representations☆44Updated 11 months ago
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆78Updated last year
- ☆52Updated 8 months ago
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆154Updated 5 months ago
- ☆43Updated last year
- ☆24Updated 8 months ago
- Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)☆26Updated last year
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆65Updated last year
- ☆51Updated last year
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆82Updated last year
- ☆46Updated last year
- [NeurIPS 2024] Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models☆105Updated last year
- Lightweight Adapting for Black-Box Large Language Models☆24Updated last year
- A resource repository for representation engineering in large language models☆143Updated last year