Alternatives and similar repositories for llm_uncertainty

Users that are interested in llm_uncertainty are comparing it to the libraries listed below

• tatsu-lab / linguistic_calibration
  Align your LM to express calibrated verbal statements of confidence in its long-form generations.
  ☆27Updated last year
• Hritikbansal / jpo
  ☆13Updated 3 months ago
• r-three / mats
  ☆31Updated last year
• formll / resolving-scaling-law-discrepancies
  ☆20Updated 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
• violet-zct / group-conditional-DRO
  Group-conditional DRO to alleviate spurious correlations
  ☆15Updated 4 years ago
• uiuctml / fair-classification
  Post-processing for fair classification
  ☆16Updated 3 months ago
• princeton-nlp / unintentional-unalignment
  [ICLR 2025] Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization
  ☆31Updated 8 months ago
• jiahai-feng / binding-iclr
  ☆15Updated last year
• milesaturpin / cot-unfaithfulness
  ☆48Updated last year
• explanare / ravel
  Evaluate interpretability methods on localizing and disentangling concepts in LLMs.
  ☆56Updated last year
• p-lambda / in-n-out
  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
• daeveraert / gradient-information-optimization
  Implementation of Gradient Information Optimization (GIO) for effective and scalable training data selection
  ☆14Updated 2 years ago
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆78Updated 2 years ago
• visinf / fast-axiomatic-attribution
  Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)
  ☆16Updated 2 years ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated 2 years ago
• rtaori / data_feedback
  Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"
  ☆17Updated 3 years ago
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆31Updated 8 months ago
• tml-epfl / long-is-more-for-alignment
  Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning [ICML 2024]
  ☆18Updated last year
• GDPlumb / ExpO
  Explanation Optimization
  ☆13Updated 4 years ago
• allenai / hyper-task-descriptions
  Learning adapter weights from task descriptions
  ☆19Updated last year
• yangarbiter / rare-spurious-correlation
  Understanding Rare Spurious Correlations in Neural Network
  ☆12Updated 3 years ago
• zleizzo / datadeletion
  ☆14Updated 5 years ago
• MadryLab / failure-directions
  Distilling Model Failures as Directions in Latent Space
  ☆47Updated 2 years ago
• mcleish7 / gemstone-scaling-laws
  Gemstones: A Model Suite for Multi-Faceted Scaling Laws (NeurIPS 2025)
  ☆29Updated last week
• VITA-Group / Robust_Weight_Signatures
  [ICML 2023] "Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?" by Ruisi Cai, Zhenyu Zhang, Zhangyang Wang
  ☆16Updated 2 years ago
• ckkissane / sae-transfer
  Code to reproduce key results accompanying "SAEs (usually) Transfer Between Base and Chat Models"
  ☆12Updated last year
• yfqiu-nlp / sea-llm
  Code for the paper "Spectral Editing of Activations for Large Language Model Alignments"
  ☆26Updated 9 months ago
• pietrolesci / memorisation-profiles
  This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".
  ☆23Updated 6 months ago
• MadryLab / DsDm
  ☆50Updated last year