Alternatives and similar repositories for MELO

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

• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆61Updated last year
• Alsace08 / OOD-Math-Reasoning
  [NeurIPS 2024] Code and Data Repo for Paper "Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning"
  ☆27Updated last year
• RUCAIBox / RLMEC
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆38Updated last year
• YJiangcm / LTE
  [ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing
  ☆36Updated last year
• SihengLi99 / LLM-Honesty-Survey
  [2025-TMLR] A Survey on the Honesty of Large Language Models
  ☆59Updated 9 months ago
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆68Updated 2 years ago
• edenbiran / RippleEdits
  Evaluating the Ripple Effects of Knowledge Editing in Language Models
  ☆56Updated last year
• jinhaoduan / SAR
  [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
  ☆54Updated last year
• zjunlp / PitfallsKnowledgeEditing
  [ICLR 2024] Unveiling the Pitfalls of Knowledge Editing for Large Language Models
  ☆22Updated last year
• ShuheSH / A-Survey-of-the-Reasoning-Abilities-of-LLMs
  ☆25Updated 6 months ago
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆36Updated 3 months ago
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆69Updated last year
• deeplearning-wisc / picle
  Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)
  ☆26Updated last year
• hkust-nlp / PEM_composition
  [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"
  ☆61Updated last year
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆80Updated 8 months ago
• shizhediao / Black-Box-Prompt-Learning
  Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"
  ☆56Updated 2 years ago
• cxcscmu / MATES
  Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]
  ☆74Updated 10 months ago
• princeton-nlp / benign-data-breaks-safety
  ☆41Updated 11 months ago
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆115Updated last year
• MaHuanAAA / g_fair_prompting
  ☆32Updated last year
• BunsenFeng / AbstainQA
  AbstainQA, ACL 2024
  ☆28Updated 11 months ago
• keven980716 / weak-to-strong-deception
  [ICLR 2025] Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"
  ☆13Updated last year
• RUCAIBox / HaluEval-2.0
  ☆47Updated last year
• ADaM-BJTU / W2SG
  The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”
  ☆17Updated last year
• wangywUST / DeepEdit
  Repository for our paper "DeepEdit: Knowledge Editing as Decoding with Constraints". https://arxiv.org/abs/2401.10471
  ☆21Updated last year
• tatsu-lab / test_set_contamination
  ☆38Updated last year
• Zayne-sprague / To-CoT-or-not-to-CoT
  ☆26Updated 5 months ago
• adymaharana / d2pruning
  ☆38Updated 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
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆60Updated 11 months ago