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)
  ☆29Updated 9 months ago
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆61Updated last year
• MiaoXiong2320 / llm-uncertainty
  code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"
  ☆132Updated last year
• UCSB-NLP-Chang / llm_uncertainty
  ☆36Updated last year
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆60Updated 11 months ago
• princeton-nlp / benign-data-breaks-safety
  ☆41Updated 11 months ago
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆80Updated 8 months ago
• javiferran / sae_entities
  ☆62Updated 6 months ago
• zlin7 / UQ-NLG
  ☆99Updated last year
• which47 / LLMCL
  Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning
  ☆34Updated 10 months ago
• jaechan-repo / muse_bench
  ☆27Updated last year
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆36Updated 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 10 months ago
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆81Updated 11 months ago
• deeplearning-wisc / picle
  Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)
  ☆26Updated last year
• tmlr-group / NoisyRationales
  [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
  ☆37Updated 2 months ago
• jinhaoduan / SAR
  [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
  ☆54Updated last year
• adymaharana / d2pruning
  ☆38Updated last year
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆97Updated last year
• lorenzkuhn / semantic_uncertainty
  ☆172Updated last year
• licong-lin / negative-preference-optimization
  ☆60Updated last year
• yihuaihong / ConceptVectors
  [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆35Updated 3 weeks ago
• milesaturpin / cot-unfaithfulness
  ☆48Updated last year
• tianyi-lab / Mosaic-IT
  [ACL'25] Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning
  ☆19Updated 2 months ago
• ethz-spylab / unlearning-vs-safety
  ☆23Updated 11 months ago
• balevinstein / Probes
  ☆55Updated 2 years ago
• SihengLi99 / LLM-Honesty-Survey
  [2025-TMLR] A Survey on the Honesty of Large Language Models
  ☆59Updated 9 months ago
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆118Updated last year
• flamewei123 / DEPN
  ☆24Updated last year
• chrisliu298 / llm-unlearn-eco
  [NeurIPS 2024] Large Language Model Unlearning via Embedding-Corrupted Prompts
  ☆34Updated 11 months ago