Alternatives and similar repositories for llm-uncertainty

Users that are interested in llm-uncertainty are comparing it to the libraries listed below

• jinhaoduan / SAR
  [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
  ☆53Updated 11 months ago
• UCSB-NLP-Chang / llm_uncertainty
  ☆32Updated last year
• zlin7 / UQ-NLG
  ☆97Updated last year
• lorenzkuhn / semantic_uncertainty
  ☆171Updated last year
• deeplearning-wisc / haloscope
  source code for NeurIPS'24 paper "HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection"
  ☆51Updated 3 months ago
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆61Updated last year
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆74Updated 4 months ago
• deeplearning-wisc / args
  ☆43Updated last year
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆59Updated 10 months ago
• balevinstein / Probes
  ☆52Updated 2 years ago
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆62Updated 8 months ago
• zhiyuanhubj / UoT
  [NeurIPS 2024] Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models
  ☆100Updated last year
• AlexanderVNikitin / kernel-language-entropy
  Code for Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities (NeurIPS'24)
  ☆27Updated 7 months ago
• zjysteven / mink-plus-plus
  [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs
  ☆41Updated 2 months ago
• javiferran / sae_entities
  ☆60Updated 4 months ago
• activatedgeek / calibration-tuning
  ☆51Updated 3 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 8 months ago
• UCSB-NLP-Chang / causal_unlearn
  [EMNLP 2024] "Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective"
  ☆25Updated last year
• Jiuzhouh / Uncertainty-Aware-Language-Agent
  This is the official repo for Towards Uncertainty-Aware Language Agent.
  ☆26Updated 11 months ago
• princeton-nlp / benign-data-breaks-safety
  ☆41Updated 10 months ago
• ZFancy / awesome-activation-engineering
  A curated list of resources for activation engineering
  ☆99Updated 2 months ago
• chrisliu298 / awesome-representation-engineering
  A resource repository for representation engineering in large language models
  ☆129Updated 8 months ago
• tatsu-lab / test_set_contamination
  ☆38Updated last year
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆96Updated last year
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆78Updated 7 months ago
• Zayne-sprague / To-CoT-or-not-to-CoT
  ☆26Updated 3 months ago
• abhishekpanigrahi1996 / Skill-Localization-by-grafting
  ☆51Updated last year
• princeton-nlp / unintentional-unalignment
  [ICLR 2025] Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization
  ☆29Updated 6 months ago
• fc2869 / lo-fit
  LoFiT: Localized Fine-tuning on LLM Representations
  ☆39Updated 6 months ago