alisawuffles / ambientLinks
Code and data associated with the AmbiEnt dataset in "We're Afraid Language Models Aren't Modeling Ambiguity" (Liu et al., 2023)
☆64Updated last year
Alternatives and similar repositories for ambient
Users that are interested in ambient are comparing it to the libraries listed below
Sorting:
- [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.☆103Updated 2 years ago
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆41Updated 2 years ago
- Code for paper "CrossFit : A Few-shot Learning Challenge for Cross-task Generalization in NLP" (https://arxiv.org/abs/2104.08835)☆113Updated 3 years ago
- First explanation metric (diagnostic report) for text generation evaluation☆62Updated 8 months ago
- Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"☆78Updated 2 years ago
- The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".☆81Updated 3 years ago
- Code for Editing Factual Knowledge in Language Models☆142Updated 3 years ago
- Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.☆182Updated 3 years ago
- ☆78Updated last year
- ☆82Updated 2 years ago
- contrastive decoding☆204Updated 3 years ago
- Token-level Reference-free Hallucination Detection☆96Updated 2 years ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆61Updated last year
- Inspecting and Editing Knowledge Representations in Language Models☆119Updated 2 years ago
- Code and data for the FACTOR paper☆52Updated 2 years ago
- ☆75Updated 2 years ago
- [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"☆111Updated 2 years ago
- This code accompanies the paper DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering.☆16Updated 2 years ago
- [NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation☆153Updated 2 years ago
- [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding☆69Updated 3 years ago
- ☆86Updated 3 years ago
- ☆177Updated last year
- Supporting code for ReCEval paper☆30Updated last year
- WikiWhy is a new benchmark for evaluating LLMs' ability to explain between cause-effect relationships. It is a QA dataset containing 9000…☆48Updated last year
- ☆189Updated 4 months ago
- Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"☆74Updated 3 years ago
- This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)☆103Updated 2 years ago
- ☆64Updated 2 years ago
- ☆88Updated 2 years ago
- Code for the arXiv paper: "LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond"☆60Updated 9 months ago