parameterlab / apricotLinks
Source code of "Calibrating Large Language Models Using Their Generations Only", ACL2024
☆22Updated last year
Alternatives and similar repositories for apricot
Users that are interested in apricot are comparing it to the libraries listed below
Sorting:
- ☆32Updated last year
- source code for NeurIPS'24 paper "HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection"☆62Updated 7 months ago
- ☆51Updated 2 years ago
- ☆79Updated 3 years ago
- 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
- Align your LM to express calibrated verbal statements of confidence in its long-form generations.☆27Updated last year
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆107Updated 2 years ago
- [ICML 2023] "Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?" by Ruisi Cai, Zhenyu Zhang, Zhangyang Wang☆16Updated 2 years ago
- [NeurIPS 2023 D&B Track] Code and data for paper "Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evalua…☆36Updated 2 years ago
- Data Valuation without Training of a Model, submitted to ICLR'23☆22Updated 2 years ago
- Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning [ICML 2024]☆19Updated last year
- ☆29Updated 3 years ago
- ☆102Updated last year
- ☆40Updated last year
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆40Updated last year
- ☆23Updated last year
- 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 10 months ago
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆82Updated 11 months ago
- ☆52Updated 7 months ago
- ☆27Updated last year
- Code for the paper "Distinguishing the Knowable from the Unknowable with Language Models"☆10Updated last year
- Uncertainty quantification for in-context learning of large language models☆16Updated last year
- ☆51Updated last year
- ☆23Updated last year
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆32Updated 2 years ago
- ☆65Updated 8 months ago
- ☆101Updated 2 years ago
- About Official PyTorch implementation of "Query-Efficient Black-Box Red Teaming via Bayesian Optimization" (ACL'23)☆15Updated 2 years ago
- Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"☆17Updated last year
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆84Updated 8 months ago