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
  ☆40Updated last year
• zlin7 / UQ-NLG
  ☆102Updated last year
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆76Updated last year
• MadryLab / trak
  A fast, effective data attribution method for neural networks in PyTorch
  ☆220Updated 11 months ago
• balevinstein / Probes
  ☆57Updated 2 years ago
• jjcherian / conformal-safety
  ☆32Updated 11 months ago
• shuoli90 / Rank-Calibration
  This is the repo for constructing a comprehensive and rigorous evaluation framework for LLM calibration.
  ☆13Updated last year
• dtsip / in-context-learning
  ☆240Updated last year
• TRAIS-Lab / dattri
  `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.
  ☆90Updated 2 weeks ago
• logix-project / logix
  AI Logging for Interpretability and Explainability🔬
  ☆129Updated last year
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆83Updated last year
• explanare / ravel
  Evaluate interpretability methods on localizing and disentangling concepts in LLMs.
  ☆56Updated last year
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆83Updated 7 months ago
• opendataval / opendataval
  OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
  ☆99Updated 8 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…
  ☆106Updated last year
• tatsu-lab / linguistic_calibration
  Align your LM to express calibrated verbal statements of confidence in its long-form generations.
  ☆27Updated last year
• pomonam / kronfluence
  Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature
  ☆166Updated 4 months ago
• KihoPark / linear_rep_geometry
  ☆108Updated 8 months ago
• adamxyang / laplace-lora
  Bayesian low-rank adaptation for large language models
  ☆25Updated last year
• msakarvadia / memorization
  Localizing Memorized Sequences in Language Models
  ☆18Updated 2 weeks ago
• lorenzkuhn / semantic_uncertainty
  ☆179Updated last year
• efarrell1 / train_sparse_autoencoder
  Trains Sparse Autoencoders based on outputs from language models
  ☆11Updated last year
• deeplearning-wisc / args
  ☆46Updated last year
• kawine / dataset_difficulty
  "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)
  ☆88Updated 2 years ago
• OATML / semantic-entropy-probes
  ☆46Updated last year
• roeehendel / icl_task_vectors
  ☆98Updated 2 years ago
• ruiqi-zhong / nlparam
  Augmenting Statistical Models with Natural Language Parameters
  ☆29Updated last year
• adamkarvonen / SAEBench
  ☆131Updated last week
• princeton-nlp / unintentional-unalignment
  [ICLR 2025] Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization
  ☆31Updated 9 months ago