alisawuffles / tokenizer-attackLinks
Official implementation of "Data Mixture Inference: What do BPE tokenizers reveal about their training data?"
☆15Updated 5 months ago
Alternatives and similar repositories for tokenizer-attack
Users that are interested in tokenizer-attack are comparing it to the libraries listed below
Sorting:
- This is the repo for constructing a comprehensive and rigorous evaluation framework for LLM calibration.☆13Updated last year
- https://footprints.baulab.info☆17Updated last year
- Code for the paper "Distinguishing the Knowable from the Unknowable with Language Models"☆10Updated last year
- Documenting large text datasets 🖼️ 📚☆13Updated 10 months ago
- ☆20Updated last year
- The Codebase for Causal Distillation for Language Models (NAACL '22)☆25Updated 3 years ago
- Interpretating the latent space representations of attention head outputs for LLMs☆34Updated last year
- Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments (Zhou et al., EMNLP 2024)☆13Updated last year
- [NeurIPS 2023 D&B Track] Code and data for paper "Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evalua…☆35Updated 2 years ago
- Code for the paper "REV: Information-Theoretic Evaluation of Free-Text Rationales"☆16Updated 2 years ago
- ☆30Updated 2 years ago
- ☆36Updated 2 years ago
- Finding semantically meaningful and accurate prompts.☆48Updated last year
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆31Updated 8 months ago
- ☆14Updated last month
- Evaluate interpretability methods on localizing and disentangling concepts in LLMs.☆56Updated last year
- [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"☆35Updated 2 months ago
- Data and code for the preprint "In-Context Learning with Long-Context Models: An In-Depth Exploration"☆40Updated last year
- Simple and scalable tools for data-driven pretraining data selection.☆28Updated 4 months ago
- Code for the paper "Spectral Editing of Activations for Large Language Model Alignments"☆28Updated 10 months ago
- Align your LM to express calibrated verbal statements of confidence in its long-form generations.☆27Updated last year
- Post-processing for fair classification☆16Updated 3 months ago
- Official Repository for Dataset Inference for LLMs☆40Updated last year
- Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"☆13Updated 3 years ago
- Landing page for MIB: A Mechanistic Interpretability Benchmark☆20Updated 2 months ago
- Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"☆71Updated last year
- [NeurIPS 2025] MergeBench: A Benchmark for Merging Domain-Specialized LLMs☆29Updated 3 weeks ago
- ☆48Updated last year
- ☆55Updated 2 years ago
- Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)☆16Updated 2 years ago