Alternatives and similar repositories for haloscope

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

• AlexanderVNikitin / kernel-language-entropy
  Code for Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities (NeurIPS'24)
  ☆34Updated last year
• javiferran / sae_entities
  ☆68Updated 10 months ago
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆62Updated last year
• jinhaoduan / SAR
  [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
  ☆60Updated last year
• 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 last year
• MiaoXiong2320 / llm-uncertainty
  code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"
  ☆140Updated last year
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆65Updated last year
• tmlr-group / NoisyRationales
  [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
  ☆38Updated 5 months ago
• Vaidehi99 / InfoDeletionAttacks
  ☆48Updated 11 months ago
• ZFancy / awesome-activation-engineering
  A curated list of resources for activation engineering
  ☆120Updated 3 months ago
• UCSB-NLP-Chang / llm_uncertainty
  ☆40Updated last year
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆87Updated last year
• licong-lin / negative-preference-optimization
  ☆70Updated last year
• 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
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆38Updated 7 months ago
• jaechan-repo / muse_bench
  ☆30Updated last year
• fc2869 / lo-fit
  LoFiT: Localized Fine-tuning on LLM Representations
  ☆44Updated 11 months ago
• franciscoliu / Awesome-GenAI-Unlearning
  ☆182Updated last month
• princeton-nlp / benign-data-breaks-safety
  ☆43Updated last year
• zlin7 / UQ-NLG
  ☆104Updated last year
• OPTML-Group / Unlearn-Simple
  [NeurIPS25] Official repo for "Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning"
  ☆40Updated 3 months ago
• lorenzkuhn / semantic_uncertainty
  ☆182Updated last year
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆85Updated 10 months ago
• yihuaihong / ConceptVectors
  [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆39Updated 4 months ago
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆82Updated last year
• deeplearning-wisc / picle
  Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)
  ☆26Updated last year
• JacksonWuxs / UsableXAI_LLM
  Using Explanations as a Tool for Advanced LLMs
  ☆68Updated last year
• cognizant-ai-labs / semantic-density-paper
  This repo contains the source code for reproducing the experimental results in semantic density paper (Neurips 2024)
  ☆17Updated 3 months ago
• swj0419 / muse_bench
  ☆32Updated 9 months ago
• zjysteven / mink-plus-plus
  [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs
  ☆52Updated 7 months ago