Alternatives and similar repositories for llmft

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

• gregorbachmann / Next-Token-Failures
  ☆90Updated last year
• facebookresearch / RLCD
  Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment
  ☆69Updated last year
• cmu-l3 / neurips2024-inference-tutorial-code
  NeurIPS 2024 tutorial on LLM Inference
  ☆45Updated 8 months ago
• architsharma97 / dpo-rlaif
  ☆99Updated last year
• terarachang / DataICL
  Data Valuation on In-Context Examples (ACL23)
  ☆23Updated 7 months ago
• google-deepmind / emergent_in_context_learning
  ☆84Updated last year
• yidingjiang / ado
  The repository contains code for Adaptive Data Optimization
  ☆25Updated 8 months ago
• tomekkorbak / pretraining-with-human-feedback
  Code accompanying the paper Pretraining Language Models with Human Preferences
  ☆183Updated last year
• Asap7772 / understanding-rlhf
  Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…
  ☆30Updated last year
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆55Updated 2 years ago
• tianjunz / TEMPERA
  ☆45Updated 2 years ago
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆44Updated 3 months ago
• LoryPack / LLM-LieDetector
  Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"
  ☆71Updated last year
• thestephencasper / explore_establish_exploit_llms
  ☆31Updated 2 years ago
• IBM / SALMON
  Self-Alignment with Principle-Following Reward Models
  ☆163Updated 3 months ago
• sylinrl / CalibratedMath
  Teaching Models to Express Their Uncertainty in Words
  ☆39Updated 3 years ago
• XiangLi1999 / AutoBencher
  ☆29Updated last year
• xlang-ai / icl-selective-annotation
  [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
  ☆108Updated 2 years ago
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆78Updated 7 months ago
• DeqingFu / transformers-icl-second-order
  Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…
  ☆18Updated 8 months ago
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆31Updated 6 months ago
• roeehendel / icl_task_vectors
  ☆96Updated last year
• lmarena / PPE
  ☆50Updated 2 months ago
• eric11eca / disco
  Generating diverse counterfactual data for Natural Language Understanding tasks using Large Language Models (LLMs). The generator support…
  ☆37Updated 2 years ago
• janphilippfranken / sami
  Self-Supervised Alignment with Mutual Information
  ☆21Updated last year
• ucl-dark / llm_debate
  Code release for "Debating with More Persuasive LLMs Leads to More Truthful Answers"
  ☆113Updated last year
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆47Updated 5 months ago
• MadryLab / DsDm
  ☆50Updated last year
• activatedgeek / calibration-tuning
  ☆51Updated 4 months ago
• matchten / LoRA-Models-for-SAEs
  Code for reproducing our paper "Low Rank Adapting Models for Sparse Autoencoder Features"
  ☆12Updated 4 months ago