Alternatives and similar repositories for semantic_uncertainty

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

• zlin7 / UQ-NLG
  ☆102Updated last year
• D2I-ai / eigenscore
  ☆38Updated 11 months ago
• AGI-Edgerunners / LLM-Continual-Learning-Papers
  Must-read Papers on Large Language Model (LLM) Continual Learning
  ☆148Updated 2 years ago
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆117Updated last year
• balevinstein / Probes
  ☆57Updated 2 years ago
• MiaoXiong2320 / llm-uncertainty
  code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"
  ☆136Updated last year
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆66Updated 11 months ago
• roeehendel / icl_task_vectors
  ☆101Updated 2 years ago
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆82Updated 10 months ago
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆121Updated last year
• alon-albalak / data-selection-survey
  A Survey on Data Selection for Language Models
  ☆252Updated 6 months ago
• chujiezheng / LLM-MCQ-Bias
  Official repository for ICLR 2024 Spotlight paper "Large Language Models Are Not Robust Multiple Choice Selectors"
  ☆42Updated 5 months ago
• LaMP-Benchmark / LaMP
  Codes for papers on Large Language Models Personalization (LaMP)
  ☆175Updated 8 months ago
• zepingyu0512 / neuron-attribution
  code for EMNLP 2024 paper: Neuron-Level Knowledge Attribution in Large Language Models
  ☆47Updated 11 months ago
• jinhaoduan / SAR
  [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
  ☆59Updated last year
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆83Updated 8 months ago
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆76Updated last year
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆62Updated last year
• zepingyu0512 / awesome-SAE
  awesome SAE papers
  ☆57Updated 5 months ago
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• jlko / semantic_uncertainty
  Codebase for reproducing the experiments of the semantic uncertainty paper (short-phrase and sentence-length experiments).
  ☆385Updated last year
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆68Updated 3 years ago
• abhishekpanigrahi1996 / Skill-Localization-by-grafting
  ☆51Updated last year
• Hunter-DDM / knowledge-neurons
  Code for the ACL-2022 paper "Knowledge Neurons in Pretrained Transformers"
  ☆173Updated last year
• UCSB-NLP-Chang / llm_uncertainty
  ☆40Updated last year
• deeplearning-wisc / picle
  Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)
  ☆26Updated last year
• vr25 / hallucination-foundation-model-survey
  A Survey of Hallucination in Large Foundation Models
  ☆55Updated last year
• ChicagoHAI / active-example-selection
  Active Example Selection for In-Context Learning (EMNLP'22)
  ☆49Updated last year
• RUCAIBox / HaluEval-2.0
  ☆47Updated last year
• ericwtodd / function_vectors
  Function Vectors in Large Language Models (ICLR 2024)
  ☆183Updated 6 months ago