Alternatives and similar repositories for conformal-factual-lm

Users that are interested in conformal-factual-lm are comparing it to the libraries listed below

• Varal7 / conformal-language-modeling
  Conformal Language Modeling
  ☆32Updated last year
• zlin7 / UQ-NLG
  ☆102Updated last year
• UCSB-NLP-Chang / llm_uncertainty
  ☆40Updated last year
• adamxyang / laplace-lora
  Bayesian low-rank adaptation for large language models
  ☆25Updated last year
• lorenzkuhn / semantic_uncertainty
  ☆179Updated last year
• jjcherian / conformal-safety
  ☆32Updated 11 months ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆67Updated 2 years ago
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆76Updated last year
• dtsip / in-context-learning
  ☆240Updated last year
• princeton-nlp / unintentional-unalignment
  [ICLR 2025] Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization
  ☆31Updated 9 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
• 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
• causalNLP / corr2cause
  Data and code for the Corr2Cause paper (ICLR 2024)
  ☆111Updated last year
• MadryLab / trak
  A fast, effective data attribution method for neural networks in PyTorch
  ☆220Updated 11 months ago
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆83Updated last year
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆51Updated 4 years ago
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆83Updated 7 months 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…
  ☆13Updated 11 months ago
• OATML / semantic-entropy-probes
  ☆46Updated last year
• abhishekpanigrahi1996 / Skill-Localization-by-grafting
  ☆51Updated last year
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆68Updated last year
• deeplearning-wisc / args
  ☆46Updated last year
• yixinwang / representation-causal-public
  ☆44Updated 3 years ago
• 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
• tatsu-lab / linguistic_calibration
  Align your LM to express calibrated verbal statements of confidence in its long-form generations.
  ☆27Updated last year
• opendataval / opendataval
  OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
  ☆99Updated 8 months ago
• tianlu-wang / Identifying-and-Mitigating-Spurious-Correlations-for-Improving-Robustness-in-NLP-Models
  NAACL 2022 Findings
  ☆15Updated 3 years ago
• lingchen0331 / UQ_ICL
  Uncertainty quantification for in-context learning of large language models
  ☆16Updated last year
• balevinstein / Probes
  ☆57Updated 2 years ago
• activatedgeek / calibration-tuning
  ☆52Updated 6 months ago