Alternatives and similar repositories for weak-to-strong-deception

Users that are interested in weak-to-strong-deception are comparing it to the libraries listed below

• which47 / LLMCL
  Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning
  ☆36Updated last year
• EnnengYang / RepresentationSurgery
  Representation Surgery for Multi-Task Model Merging. ICML, 2024.
  ☆46Updated last year
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆63Updated last year
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆65Updated last year
• princeton-pli / what-makes-good-rm
  [NeurIPS 2025] What Makes a Reward Model a Good Teacher? An Optimization Perspective
  ☆40Updated 2 months ago
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆97Updated last year
• tmlr-group / NoisyRationales
  [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
  ☆37Updated 4 months ago
• ECNU-ICALK / MELO
  [AAAI 2024] MELO: Enhancing Model Editing with Neuron-indexed Dynamic LoRA
  ☆26Updated last year
• ChnQ / TracingLLM
  ☆30Updated last year
• shizhediao / Black-Box-Prompt-Learning
  Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"
  ☆57Updated 2 years ago
• MajorDavidZhang / MCL
  code for Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
  ☆18Updated last year
• SihengLi99 / LLM-Honesty-Survey
  [2025-TMLR] A Survey on the Honesty of Large Language Models
  ☆63Updated last year
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆72Updated 9 months ago
• Hritikbansal / jpo
  ☆13Updated 5 months ago
• qcznlp / uncertainty_attack
  ☆21Updated 3 months ago
• deeplearning-wisc / picle
  Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)
  ☆26Updated last year
• adymaharana / d2pruning
  ☆43Updated 2 years ago
• 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
• princeton-nlp / benign-data-breaks-safety
  ☆42Updated last year
• luka-group / vlm-knowledge-conflict
  Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."
  ☆49Updated last year
• Pbihao / SLM
  ☆28Updated last year
• rdi-berkeley / awesome-RLVR-boundary
  A curated list of resources on Reinforcement Learning with Verifiable Rewards (RLVR) and the reasoning capability boundary of Large Langu…
  ☆83Updated this week
• avalonstrel / Mitigating-the-Alignment-Tax-of-RLHF
  ☆16Updated last year
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆37Updated 6 months ago
• haotiansun14 / BBox-Adapter
  Lightweight Adapting for Black-Box Large Language Models
  ☆24Updated last year
• hkust-nlp / RL-Verifier-Robustness
  From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning.
  ☆23Updated 2 months ago
• jinhaoduan / SAR
  [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
  ☆59Updated last year
• UKPLab / iclr2024-model-merging
  This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.
  ☆29Updated last year
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆85Updated last year
• amazon-science / adaptive-in-context-learning
  AdaICL: Which Examples to Annotate of In-Context Learning? Towards Effective and Efficient Selection
  ☆18Updated 2 years ago