Alternatives and similar repositories for CEB

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

• night-chen / DyGen
  [KDD'23] This is the code repo for our KDD'23 paper "DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling".
  ☆11Updated 2 years ago
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆67Updated 11 months ago
• xhan77 / context-aware-decoding
  ☆53Updated last year
• BunsenFeng / AbstainQA
  AbstainQA, ACL 2024
  ☆28Updated last year
• YJiangcm / LTE
  [ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing
  ☆36Updated last year
• SALT-NLP / Efficient_Unlearning
  ☆38Updated 2 years ago
• deeplearning-wisc / picle
  Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)
  ☆26Updated last year
• RUCAIBox / HaluEval-2.0
  ☆47Updated last year
• zepingyu0512 / neuron-attribution
  code for EMNLP 2024 paper: Neuron-Level Knowledge Attribution in Large Language Models
  ☆47Updated last year
• smartyfh / LLM-Uncertainty-Bench
  Benchmarking LLMs via Uncertainty Quantification
  ☆250Updated last year
• pillowsofwind / Knowledge-Conflicts-Survey
  [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"
  ☆148Updated last year
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆118Updated last year
• katiekang1998 / llm_hallucinations
  ☆17Updated last year
• yizhongw / truthfulqa_reeval
  ☆12Updated last year
• weixuan-wang123 / SADI
  ☆13Updated 2 months ago
• zepingyu0512 / awesome-SAE
  awesome SAE papers
  ☆59Updated 5 months ago
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆86Updated last year
• princeton-nlp / benign-data-breaks-safety
  ☆41Updated last year
• jinhaoduan / SAR
  [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
  ☆59Updated last year
• ADaM-BJTU / W2SG
  The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”
  ☆17Updated last year
• EmpathYang / ADEPT
  Source code and data for ADEPT: A DEbiasing PrompT Framework (AAAI-23).
  ☆15Updated 11 months ago
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆69Updated 3 years ago
• KID-22 / LLM-IR-Bias-Fairness-Survey
  This is the repo for the survey of Bias and Fairness in IR with LLMs.
  ☆58Updated 2 months ago
• OpenBMB / CPO
  ☆23Updated last year
• ZhiningLiu1998 / SelfElicit
  [ACL'25 Main] SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence! | 让你的LLM更好地利用上下文文档：一个基于注意力的简单方案
  ☆23Updated 9 months ago
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆69Updated last year
• launchnlp / LitCab
  ☆25Updated 5 months ago
• luka-group / FaviComp
  [EMNLP 2025 Findings] Familiarity-aware Evidence Compression for Retrieval Augmented Generation
  ☆14Updated 3 months ago
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆62Updated last year
• yihuaihong / ConceptVectors
  [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆38Updated 3 months ago