Alternatives and similar repositories for LanguageInterfacedFineTuning

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

• causalNLP / corr2cause
  Data and code for the Corr2Cause paper (ICLR 2024)
  ☆111Updated last year
• WANGXinyiLinda / concept-based-demonstration-selection
  Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Le…
  ☆75Updated last year
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆68Updated last year
• neelsjain / BYOD
  The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"
  ☆107Updated 2 years ago
• causalNLP / cladder
  We develop benchmarks and analysis tools to evaluate the causal reasoning abilities of LLMs.
  ☆135Updated last year
• p-lambda / incontext-learning
  Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…
  ☆105Updated 2 years ago
• UCSB-NLP-Chang / llm_uncertainty
  ☆40Updated last year
• guy-dar / embedding-space
  ☆56Updated 2 years ago
• zlin7 / UQ-NLG
  ☆104Updated last year
• QingruZhang / PASTA
  PASTA: Post-hoc Attention Steering for LLMs
  ☆132Updated last year
• zeyuyun1 / TransformerVis
  ☆44Updated 4 years ago
• jonhue / activeft
  PyTorch library for Active Fine-Tuning
  ☆95Updated 2 months ago
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆82Updated last year
• llm-merging / LLM-Merging
  LLM-Merging: Building LLMs Efficiently through Merging
  ☆207Updated last year
• myracheng / lm_caricature
  code and data associated with CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations
  ☆10Updated 2 years ago
• xiamengzhou / training_trajectory_analysis
  [ACL 2023]: Training Trajectories of Language Models Across Scales https://arxiv.org/pdf/2212.09803.pdf
  ☆25Updated 2 years ago
• dylan-slack / Tablet
  The TABLET benchmark for evaluating instruction learning with LLMs for tabular prediction.
  ☆23Updated 2 years ago
• pietrobarbiero / pytorch_explain
  PyTorch Explain: Interpretable Deep Learning in Python.
  ☆165Updated last year
• MadryLab / trak
  A fast, effective data attribution method for neural networks in PyTorch
  ☆223Updated last year
• bloomberg / dataless-model-merging
  Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)
  ☆92Updated 2 years ago
• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆44Updated last month
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆81Updated 2 years ago
• veronica320 / Faithful-COT
  Code and data accompanying our paper on arXiv "Faithful Chain-of-Thought Reasoning".
  ☆165Updated last year
• HazyResearch / skill-it
  Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models
  ☆47Updated 2 years ago
• mega002 / ff-layers
  The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…
  ☆99Updated 4 years ago
• dtsip / in-context-learning
  ☆242Updated last year
• mlfoundations / rtfm
  Research on Tabular Foundation Models
  ☆67Updated last year
• evandez / REMEDI
  Inspecting and Editing Knowledge Representations in Language Models
  ☆119Updated 2 years ago
• princeton-nlp / TransformerPrograms
  [NeurIPS 2023] Learning Transformer Programs
  ☆162Updated last year
• roeehendel / icl_task_vectors
  ☆103Updated 2 years ago