UCSB-NLP-Chang / llm_uncertaintyLinks
☆40Updated 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:
- ☆103Updated last year
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆82Updated last year
- code for EMNLP 2024 paper: How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for M…☆13Updated last year
- ☆57Updated 2 years ago
- ☆46Updated last year
- source code for NeurIPS'24 paper "HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection"☆64Updated 9 months ago
- ☆29Updated last year
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆79Updated last year
- code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"☆142Updated last year
- ☆52Updated 9 months ago
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆85Updated 10 months ago
- This is the official repo for Towards Uncertainty-Aware Language Agent.☆32Updated last year
- Align your LM to express calibrated verbal statements of confidence in its long-form generations.☆29Updated last year
- ☆51Updated 2 years ago
- Providing the answer to "How to do patching on all available SAEs on GPT-2?". It is an official repository of the implementation of the p…☆12Updated 11 months ago
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆62Updated last year
- ☆183Updated last year
- ☆33Updated last year
- [ICLR 2025] Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization☆32Updated last week
- Restore safety in fine-tuned language models through task arithmetic☆31Updated last year
- Conformal Language Modeling☆32Updated 2 years ago
- EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue☆38Updated 7 months ago
- ☆50Updated last year
- ☆103Updated 2 years ago
- Lightweight Adapting for Black-Box Large Language Models☆24Updated last year
- Models, data, and codes for the paper: MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models☆24Updated last year
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆69Updated this week
- Uncertainty quantification for in-context learning of large language models☆16Updated last year
- Code for Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities (NeurIPS'24)☆34Updated last year
- Teaching Models to Express Their Uncertainty in Words☆39Updated 3 years ago