Alternatives and similar repositories for Deep-Contam:

Users that are interested in Deep-Contam are comparing it to the libraries listed below

• petezh / OpenD5
  Tasks for describing differences between text distributions.
  ☆16Updated 7 months ago
• EvanZhuang / vector-icl
  Official implementation of Vector-ICL: In-context Learning with Continuous Vector Representations
  ☆14Updated 3 weeks ago
• activatedgeek / calibration-tuning
  ☆46Updated 7 months ago
• maszhongming / ParaKnowTransfer
  Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"
  ☆32Updated 10 months ago
• wang-kee / LiNeS
  Official repository of "LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging"
  ☆24Updated 4 months ago
• Hritikbansal / jpo
  ☆12Updated 2 months ago
• kaistAI / factual-knowledge-acquisition
  ☆17Updated 5 months ago
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆27Updated 11 months ago
• zjunlp / PitfallsKnowledgeEditing
  [ICLR 2024] Unveiling the Pitfalls of Knowledge Editing for Large Language Models
  ☆22Updated 9 months ago
• wzq016 / PINE
  Offcial Repo of Paper "Eliminating Position Bias of Language Models: A Mechanistic Approach""
  ☆11Updated 6 months ago
• yale-nlp / refdpo
  ☆15Updated 7 months ago
• formll / resolving-scaling-law-discrepancies
  ☆17Updated 8 months ago
• scandukuri / assistant-gate
  ☆20Updated 9 months ago
• Jiuzhouh / Uncertainty-Aware-Language-Agent
  This is the official repo for Towards Uncertainty-Aware Language Agent.
  ☆24Updated 6 months ago
• rtaori / data_feedback
  Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"
  ☆15Updated 2 years ago
• HKUNLP / ProGen
  [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.
  ☆26Updated 2 years ago
• UKPLab / iclr2024-model-merging
  This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.
  ☆27Updated 9 months ago
• csinva / tree-prompt
  Tree prompting: easy-to-use scikit-learn interface for improved prompting.
  ☆35Updated last year
• UCSB-NLP-Chang / llm_uncertainty
  ☆27Updated last year
• jihoontack / MAC
  Online Adaptation of Language Models with a Memory of Amortized Contexts (NeurIPS 2024)
  ☆62Updated 7 months ago
• princeton-nlp / Edge-Pruning
  [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".
  ☆47Updated this week
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆33Updated 5 months ago
• adymaharana / d2pruning
  ☆32Updated last year
• nathanhu0 / CaMeLS
  Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.
  ☆25Updated last year
• peterljq / Parsimonious-Concept-Engineering
  Implementation of PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆33Updated 4 months ago
• arnab-api / romba
  Applies ROME and MEMIT on Mamba-S4 models
  ☆14Updated 11 months ago
• janphilippfranken / sami
  Self-Supervised Alignment with Mutual Information
  ☆16Updated 9 months ago
• terarachang / DataICL
  Data Valuation on In-Context Examples (ACL23)
  ☆23Updated 2 months ago