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
  ☆24Updated last year
• 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…
  ☆105Updated last year
• shuoli90 / Rank-Calibration
  This is the repo for constructing a comprehensive and rigorous evaluation framework for LLM calibration.
  ☆12Updated last year
• zlin7 / UQ-NLG
  ☆87Updated 9 months ago
• adamxyang / laplace-lora
  Bayesian low-rank adaptation for large language models
  ☆23Updated 11 months ago
• balevinstein / Probes
  ☆48Updated last year
• UCSB-NLP-Chang / llm_uncertainty
  ☆28Updated last year
• ruiqi-zhong / nlparam
  Augmenting Statistical Models with Natural Language Parameters
  ☆26Updated 7 months ago
• Kaleidophon / nlp-uncertainty-zoo
  Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.
  ☆53Updated last year
• deeplearning-wisc / args
  ☆40Updated last year
• jjcherian / conformal-safety
  ☆23Updated 4 months ago
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆63Updated 6 months ago
• princeton-nlp / unintentional-unalignment
  [ICLR 2025] Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization
  ☆24Updated 3 months ago
• haotiansun14 / BBox-Adapter
  Lightweight Adapting for Black-Box Large Language Models
  ☆22Updated last year
• hartvigsen-group / composable-interventions
  ☆28Updated last month
• pomonam / kronfluence
  Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature
  ☆145Updated 8 months ago
• tatsu-lab / linguistic_calibration
  Align your LM to express calibrated verbal statements of confidence in its long-form generations.
  ☆22Updated 10 months ago
• DeqingFu / transformers-icl-second-order
  Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…
  ☆16Updated 5 months ago
• causalNLP / corr2cause
  Data and code for the Corr2Cause paper (ICLR 2024)
  ☆96Updated last year
• logix-project / logix
  AI Logging for Interpretability and Explainability🔬
  ☆111Updated 10 months ago
• TRAIS-Lab / dattri
  `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.
  ☆71Updated 2 weeks ago
• mega002 / ff-layers
  The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…
  ☆90Updated 3 years ago
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆75Updated 4 months ago
• mmatena / model_merging
  ☆66Updated 3 years ago
• 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…
  ☆11Updated 2 months ago
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆85Updated 10 months ago
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆53Updated 4 months ago
• KihoPark / linear_rep_geometry
  ☆91Updated 2 months ago
• activatedgeek / calibration-tuning
  ☆50Updated 2 weeks ago
• zepingyu0512 / in-context-mechanism
  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…
  ☆11Updated 5 months ago