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
  ☆60Updated last year
• lorenzkuhn / semantic_uncertainty
  ☆183Updated last year
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆62Updated last year
• zlin7 / UQ-NLG
  ☆103Updated last year
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆70Updated 2 weeks ago
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆85Updated 10 months ago
• balevinstein / Probes
  ☆58Updated 2 years ago
• AlexanderVNikitin / kernel-language-entropy
  Code for Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities (NeurIPS'24)
  ☆34Updated last year
• UCSB-NLP-Chang / llm_uncertainty
  ☆41Updated last year
• zjunlp / KnowledgeCircuits
  [NeurIPS 2024] Knowledge Circuits in Pretrained Transformers
  ☆163Updated 2 months ago
• deeplearning-wisc / haloscope
  source code for NeurIPS'24 paper "HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection"
  ☆64Updated 9 months ago
• activatedgeek / calibration-tuning
  ☆53Updated 9 months ago
• fc2869 / lo-fit
  LoFiT: Localized Fine-tuning on LLM Representations
  ☆44Updated last year
• tatsu-lab / test_set_contamination
  ☆41Updated 2 years ago
• declare-lab / trust-align
  Codes and datasets for the paper Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Ref…
  ☆71Updated 10 months ago
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆71Updated 3 years ago
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆127Updated last year
• javiferran / sae_entities
  ☆69Updated 10 months ago
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆66Updated last year
• zjysteven / mink-plus-plus
  [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs
  ☆52Updated 8 months ago
• zhiyuanhubj / UoT
  [NeurIPS 2024] Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models
  ☆106Updated last year
• Dereck0602 / Awesome_Test_Time_LLMs
  ☆141Updated 10 months ago
• princeton-nlp / benign-data-breaks-safety
  ☆44Updated last year
• peterljq / Parsimonious-Concept-Engineering
  PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆42Updated 2 weeks ago
• deeplearning-wisc / args
  ☆46Updated last year
• princeton-nlp / corpus-poisoning
  [EMNLP 2023] Poisoning Retrieval Corpora by Injecting Adversarial Passages https://arxiv.org/abs/2310.19156
  ☆47Updated 2 years ago
• tmlr-group / AR-Bench
  [ICML 2025] "From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?"
  ☆49Updated 3 months ago
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆83Updated last year
• Zayne-sprague / To-CoT-or-not-to-CoT
  ☆25Updated 9 months ago