vmicheli / lm-butlers

Related projects: ⓘ

• liziniu / policy_optimization
  Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)
  ☆23Updated 9 months ago
• linlu-qiu / lm-inductive-reasoning
  ☆25Updated 9 months ago
• thu-ml / Noise-Contrastive-Alignment
  Code accompanying the paper "Noise Contrastive Alignment of Language Models with Explicit Rewards"
  ☆22Updated 2 months ago
• ahjwang / messenger-emma
  Implements the Messenger environment and EMMA model.
  ☆22Updated last year
• 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
  ☆35Updated 8 months ago
• vzhong / silg
  ☆19Updated 2 years ago
• alexrame / rewardedsoups
  Rewarded soups official implementation
  ☆43Updated 11 months ago
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆78Updated last week
• PKU-Alignment / Awesome-LLM-Alignment
  ☆21Updated this week
• jlin816 / rewards-from-language
  Code and data for "Inferring Rewards from Language in Context" [ACL 2022].
  ☆15Updated 2 years ago
• Shentao-YANG / Preference_Grounded_Guidance
  Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).
  ☆12Updated 10 months ago
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆44Updated 3 months ago
• Linear95 / APO
  Code for ACL2024 paper - Adversarial Preference Optimization (APO).
  ☆49Updated 3 months ago
• deeplearning-wisc / args
  ☆30Updated 7 months ago
• xingdi-eric-yuan / GATA-public
  ☆35Updated 2 months ago
• cicl-stanford / procedural-evals-tom
  ☆25Updated last year
• Cornell-RL / drpo
  Dateset Reset Policy Optimization
  ☆27Updated 5 months ago
• Linear95 / DSP
  Domain-specific preference (DSP) data and customized RM fine-tuning.
  ☆24Updated 6 months ago
• cognitiveailab / TextWorldExpress
  Super fast implementations of common benchmark text world games
  ☆43Updated last month
• tianjunz / TEMPERA
  ☆40Updated last year
• google-deepmind / emergent_in_context_learning
  ☆75Updated last month
• 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…
  ☆66Updated 5 months ago
• Vance0124 / Token-level-Direct-Preference-Optimization
  Reference implementation for Token-level Direct Preference Optimization(TDPO)
  ☆89Updated 2 months ago
• weigq / openview_quicklook
  ☆28Updated 5 months ago
• princeton-nlp / XTX
  [ICLR 2022 Spotlight] Multi-Stage Episodic Control for Strategic Exploration in Text Games
  ☆13Updated 2 years ago
• EleutherAI / w2s
  ☆15Updated this week
• abaheti95 / LoL-RL
  Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients
  ☆24Updated last week
• iglu-contest / gridworld
  A reinforcement learning environment for the IGLU 2022 at NeurIPS
  ☆32Updated last year
• YifeiZhou02 / ArCHer
  Research Code for "ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL"
  ☆84Updated 5 months ago
• ruizheng20 / gpo
  The code of paper "Toward Optimal LLM Alignments Using Two-Player Games".
  ☆11Updated 2 months ago