Alternatives and similar repositories for ado

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

• formll / resolving-scaling-law-discrepancies
  ☆20Updated 11 months ago
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆30Updated 5 months ago
• likenneth / q_probe
  Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
  ☆41Updated last year
• katiekang1998 / reasoning_generalization
  ☆32Updated 5 months ago
• mcleish7 / gemstone-scaling-laws
  ☆26Updated 4 months ago
• sail-sg / SkyLadder
  The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling
  ☆32Updated 3 months ago
• casmlab / NPHardEval
  Repository for NPHardEval, a quantified-dynamic benchmark of LLMs
  ☆54Updated last year
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆48Updated last year
• limenlp / safer-instruct
  This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"
  ☆17Updated last year
• HazyResearch / aioli
  Aioli: A unified optimization framework for language model data mixing
  ☆27Updated 5 months ago
• ContextualAI / CLAIR_and_APO
  Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment
  ☆57Updated 9 months ago
• kyleliang919 / Online-Subspace-Descent
  This repo is based on https://github.com/jiaweizzhao/GaLore
  ☆28Updated 9 months ago
• Asap7772 / understanding-rlhf
  Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…
  ☆29Updated last year
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆34Updated 8 months ago
• IBM / ColPret
  Efficient Scaling laws and collaborative pretraining.
  ☆16Updated 4 months ago
• scottlogic-alex / prm800k-denorm
  Script for processing OpenAI's PRM800K process supervision dataset into an Alpaca-style instruction-response format
  ☆27Updated last year
• data-for-agents / insta
  Official Repo for InSTA: Towards Internet-Scale Training For Agents
  ☆42Updated this week
• davidbrandfonbrener / color-filter-olmo
  ☆13Updated last month
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆44Updated 3 months ago
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆43Updated last year
• lmarena / PPE
  ☆48Updated last month
• XiangLi1999 / AutoBencher
  ☆29Updated 11 months ago
• MLE-Dojo / MLE-Dojo
  ☆53Updated this week
• allenai / sso
  Repository for Skill Set Optimization
  ☆13Updated 10 months ago
• sher222 / LeReT
  Learning to Retrieve by Trying - Source code for Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval
  ☆39Updated 7 months ago
• sail-sg / VeriFree
  Reinforcing General Reasoning without Verifiers
  ☆60Updated last week
• dunzeng / MORE
  Code for EMNLP'24 paper - On Diversified Preferences of Large Language Model Alignment
  ☆16Updated 10 months ago
• McGill-NLP / agent-reward-bench
  AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories
  ☆17Updated last month
• codezakh / DataEnvGym
  A testbed for agents and environments that can automatically improve models through data generation.
  ☆24Updated 3 months ago
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆27Updated last year