Alternatives and similar repositories for conformal-language-modeling

Users that are interested in conformal-language-modeling are comparing it to the libraries listed below

• tatsu-lab / conformal-factual-lm
  ☆32Updated last year
• UCSB-NLP-Chang / llm_uncertainty
  ☆38Updated last year
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆76Updated last year
• zlin7 / UQ-NLG
  ☆99Updated last year
• MadryLab / trak
  A fast, effective data attribution method for neural networks in PyTorch
  ☆218Updated 10 months ago
• balevinstein / Probes
  ☆56Updated 2 years ago
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆83Updated last year
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆80Updated 7 months ago
• TRAIS-Lab / dattri
  `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.
  ☆86Updated 2 weeks ago
• jjcherian / conformal-safety
  ☆32Updated 10 months ago
• msakarvadia / memorization
  Localizing Memorized Sequences in Language Models
  ☆18Updated 6 months ago
• p-lambda / incontext-learning
  Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…
  ☆108Updated last year
• shuoli90 / Rank-Calibration
  This is the repo for constructing a comprehensive and rigorous evaluation framework for LLM calibration.
  ☆13Updated last year
• Kaleidophon / nlp-uncertainty-zoo
  Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.
  ☆53Updated 2 years ago
• pomonam / kronfluence
  Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature
  ☆165Updated 3 months ago
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆91Updated last year
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆81Updated 9 months ago
• efarrell1 / train_sparse_autoencoder
  Trains Sparse Autoencoders based on outputs from language models
  ☆11Updated last year
• kawine / dataset_difficulty
  "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)
  ☆87Updated 2 years ago
• IBM / activation-steering
  [ICLR 2025] General-purpose activation steering library
  ☆108Updated 2 weeks ago
• logix-project / logix
  AI Logging for Interpretability and Explainability🔬
  ☆128Updated last year
• explanare / ravel
  Evaluate interpretability methods on localizing and disentangling concepts in LLMs.
  ☆56Updated last year
• dtsip / in-context-learning
  ☆240Updated last year
• fc2869 / lo-fit
  LoFiT: Localized Fine-tuning on LLM Representations
  ☆41Updated 8 months ago
• lorenzkuhn / semantic_uncertainty
  ☆177Updated last year
• MiaoXiong2320 / llm-uncertainty
  code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"
  ☆133Updated last year
• jinhaoduan / SAR
  [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
  ☆55Updated last year
• adamxyang / laplace-lora
  Bayesian low-rank adaptation for large language models
  ☆24Updated last year
• MaheepChaudhary / SAE-Ravel
  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 8 months ago
• pratyushmaini / localizing-memorization
  Official Repository for ICML 2023 paper "Can Neural Network Memorization Be Localized?"
  ☆20Updated last year