Alternatives and similar repositories for FailureLLMUnlearning

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

• JayZhang42 / SLED
  SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433
  ☆28Updated 8 months ago
• facebookresearch / AbstentionBench
  A holistic benchmark for LLM abstention
  ☆46Updated 3 weeks ago
• sail-sg / Cheating-LLM-Benchmarks
  [ICLR 2025] Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates (Oral)
  ☆81Updated 10 months ago
• uservan / ThinkPO
  ☆18Updated 3 weeks ago
• mandyyyyii / east
  ☆20Updated 3 weeks ago
• zjunlp / unlearn
  [ACL 2025] Knowledge Unlearning for Large Language Models
  ☆39Updated 3 months ago
• limenlp / safer-instruct
  This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"
  ☆17Updated last year
• ZhentingWang / DUMP
  ☆24Updated 3 months ago
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆47Updated 5 months ago
• peterljq / Parsimonious-Concept-Engineering
  PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆39Updated 9 months ago
• zjunlp / PitfallsKnowledgeEditing
  [ICLR 2024] Unveiling the Pitfalls of Knowledge Editing for Large Language Models
  ☆22Updated last year
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆124Updated 2 months ago
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆35Updated 3 months ago
• stanford-crfm / air-bench-2024
  AIR-Bench 2024 is a safety benchmark that aligns with emerging government regulations and company policies
  ☆24Updated last year
• wangxu0820 / NegativePrompt
  The official GitHub page for paper "NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional St…
  ☆23Updated last year
• ShuheSH / A-Survey-of-the-Reasoning-Abilities-of-LLMs
  ☆24Updated 5 months ago
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆31Updated 7 months ago
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆44Updated 4 months ago
• ChnQ / TracingLLM
  ☆30Updated last year
• LAMDASZ-ML / Self-Backtracking
  ☆47Updated 6 months ago
• fangyuan-ksgk / CoT-Reasoning-without-Prompting
  Unofficial Implementation of Chain-of-Thought Reasoning Without Prompting
  ☆33Updated last year
• katiekang1998 / reasoning_generalization
  ☆34Updated 7 months ago
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆35Updated 11 months ago
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆59Updated 10 months ago
• Vaidehi99 / InfoDeletionAttacks
  ☆44Updated 6 months ago
• wang-kee / LiNeS
  Official repository of "LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging"
  ☆30Updated 9 months ago
• azshue / AutoPoison
  The official repository of the paper "On the Exploitability of Instruction Tuning".
  ☆64Updated last year
• yihuaihong / ConceptVectors
  [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆36Updated this week
• luka-group / vlm-knowledge-conflict
  Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."
  ☆43Updated 10 months ago
• yale-nlp / refdpo
  ☆16Updated last year