Alternatives and similar repositories for openview_quicklook

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

• gregorbachmann / Next-Token-Failures
  ☆85Updated last year
• abaheti95 / LoL-RL
  Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients
  ☆26Updated 9 months ago
• holarissun / RewardModelingBeyondBradleyTerry
  official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and…
  ☆62Updated 2 months ago
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆57Updated 9 months ago
• janphilippfranken / sami
  Self-Supervised Alignment with Mutual Information
  ☆19Updated last year
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆44Updated 2 months ago
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆27Updated last year
• cassidylaidlaw / orpo
  ☆16Updated 7 months ago
• facebookresearch / rlfh-gen-div
  This is code for most of the experiments in the paper Understanding the Effects of RLHF on LLM Generalisation and Diversity
  ☆43Updated last year
• HKUNLP / diffusion-vs-ar
  [ICLR 2025] Code for the paper "Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning"
  ☆64Updated 4 months ago
• alexrame / rewardedsoups
  Rewarded soups official implementation
  ☆58Updated last year
• PKU-ML / LongPPL
  Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"
  ☆88Updated last month
• thu-ml / Noise-Contrastive-Alignment
  Code accompanying the paper "Noise Contrastive Alignment of Language Models with Explicit Rewards" (NeurIPS 2024)
  ☆54Updated 7 months ago
• rosieyzh / openrlhf-pretrain
  Code for "Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining"
  ☆18Updated 2 months ago
• Linear95 / DSP
  Domain-specific preference (DSP) data and customized RM fine-tuning.
  ☆25Updated last year
• LLM360 / Reasoning360
  A repo for open research on building large reasoning models
  ☆34Updated this week
• GuanghaoYe / Emergence-of-Thinking
  ☆52Updated 4 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
• Walter0807 / RepBelief
  [ICML 2024] Language Models Represent Beliefs of Self and Others
  ☆32Updated 8 months ago
• yegcjs / DiffusionLLM
  Code for paper "Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning"
  ☆80Updated last year
• google-deepmind / emergent_in_context_learning
  ☆84Updated 10 months ago
• tianjunz / TEMPERA
  ☆44Updated 2 years ago
• IdoAmos / not-from-scratch
  ☆31Updated 8 months ago
• shiqiangw / iclr-scores
  ☆54Updated 7 months ago
• liziniu / policy_optimization
  Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)
  ☆28Updated last year
• cmu-mind / RISE
  ☆31Updated 7 months ago
• belindal / LaMPP
  Code for LaMPP: Language Models as Probabilistic Priors for Perception and Action
  ☆37Updated 2 years ago
• ZhaolinGao / REBEL
  Reinforcement Learning via Regressing Relative Rewards
  ☆34Updated 6 months ago
• ryoungj / BoLT
  Code for "Reasoning to Learn from Latent Thoughts"
  ☆104Updated 2 months ago
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆120Updated 9 months ago