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

• ChnQ / TracingLLM
  ☆30Updated last year
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆62Updated last year
• tmlr-group / NoisyRationales
  [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
  ☆38Updated 6 months ago
• which47 / LLMCL
  Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning
  ☆36Updated last year
• ECNU-ICALK / MELO
  [AAAI 2024] MELO: Enhancing Model Editing with Neuron-indexed Dynamic LoRA
  ☆26Updated 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
• EnnengYang / RepresentationSurgery
  Representation Surgery for Multi-Task Model Merging. ICML, 2024.
  ☆47Updated 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…
  ☆86Updated last month
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆38Updated 7 months ago
• deeplearning-wisc / picle
  Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)
  ☆26Updated last year
• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆92Updated 2 months ago
• princeton-pli / what-makes-good-rm
  [NeurIPS 2025] What Makes a Reward Model a Good Teacher? An Optimization Perspective
  ☆41Updated 4 months ago
• Zayne-sprague / To-CoT-or-not-to-CoT
  ☆25Updated 9 months ago
• SihengLi99 / LLM-Honesty-Survey
  [2025-TMLR] A Survey on the Honesty of Large Language Models
  ☆64Updated last year
• princeton-nlp / benign-data-breaks-safety
  ☆43Updated last year
• jinhaoduan / SAR
  [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
  ☆60Updated last year
• junkangwu / beta-DPO
  [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$
  ☆50Updated last year
• haotiansun14 / BBox-Adapter
  Lightweight Adapting for Black-Box Large Language Models
  ☆24Updated last year
• circle-hit / SAPT
  Code for ACL 2024 accepted paper titled "SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language …
  ☆38Updated 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
• zzzhr97 / SpecBench
  ☆22Updated 2 months ago
• yule-BUAA / MergeLLM
  Codes for Merging Large Language Models
  ☆35Updated last year
• lukahhcm / Awesome_Environment_Scaling
  Resources and paper list for 'Scaling Environments for Agents'. This repository accompanies our survey on how environments contribute to …
  ☆55Updated 3 weeks ago
• luka-group / vlm-knowledge-conflict
  Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."
  ☆50Updated last year
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆65Updated last year
• mathllm / Step-Controlled_DPO
  ☆23Updated last year
• ZHZisZZ / modpo
  [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization
  ☆94Updated last year
• hkust-nlp / PEM_composition
  [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"
  ☆61Updated 2 years ago
• Hritikbansal / jpo
  ☆13Updated 6 months ago