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

• princeton-nlp / benign-data-breaks-safety
  ☆34Updated 6 months ago
• EnnengYang / RepresentationSurgery
  Representation Surgery for Multi-Task Model Merging. ICML, 2024.
  ☆44Updated 6 months ago
• haotiansun14 / BBox-Adapter
  Lightweight Adapting for Black-Box Large Language Models
  ☆22Updated last year
• deeplearning-wisc / picle
  Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)
  ☆23Updated 9 months ago
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆57Updated last year
• ChnQ / TracingLLM
  ☆25Updated 11 months ago
• tmlr-group / NoisyRationales
  [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
  ☆35Updated 3 months ago
• bethgelab / sober-reasoning
  Code for "A Sober Look at Progress in Language Model Reasoning" paper
  ☆36Updated last week
• shizhediao / Black-Box-Prompt-Learning
  Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"
  ☆55Updated last year
• princeton-pli / what-makes-good-rm
  What Makes a Reward Model a Good Teacher? An Optimization Perspective
  ☆23Updated 2 weeks ago
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆72Updated 6 months ago
• ADaM-BJTU / W2SG
  The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”
  ☆16Updated last year
• abhishekpanigrahi1996 / Skill-Localization-by-grafting
  ☆49Updated last year
• VITA-Group / SEAL
  Official code for SEAL: Steerable Reasoning Calibration of Large Language Models for Free
  ☆15Updated 2 weeks ago
• sail-sg / ActivePRM
  ☆15Updated last week
• ECNU-ICALK / MELO
  [AAAI 2024] MELO: Enhancing Model Editing with Neuron-indexed Dynamic LoRA
  ☆26Updated last year
• which47 / LLMCL
  Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning
  ☆30Updated 5 months ago
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆35Updated 5 months ago
• SihengLi99 / LLM-Honesty-Survey
  A Survey on the Honesty of Large Language Models
  ☆57Updated 4 months ago
• YuejiangLIU / csl
  Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
  ☆16Updated last year
• uw-nsl / safechain
  SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities
  ☆12Updated 3 weeks ago
• Jiacheng-Zhu-AIML / AsymmetryLoRA
  Preprint: Asymmetry in Low-Rank Adapters of Foundation Models
  ☆35Updated last year
• dannyallover / overthinking_the_truth
  ☆29Updated 11 months ago
• deeplearning-wisc / args
  ☆40Updated last year
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆56Updated last month
• zhxieml / remiss-jailbreak
  ☆27Updated 10 months ago
• ShuheSH / A-Survey-of-the-Reasoning-Abilities-of-LLMs
  ☆20Updated last month
• alenai97 / PEFT-MLLM
  Official Code and data for ACL 2024 finding, "An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models"
  ☆19Updated 5 months ago
• Alsace08 / OOD-Math-Reasoning
  [NeurIPS 2024] Code and Data Repo for Paper "Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning"
  ☆25Updated 10 months ago
• OpenBMB / CPO
  ☆21Updated 9 months ago