Alternatives and similar repositories for Preference_Grounded_Guidance:

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

• ADaM-BJTU / W2SG
  The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”
  ☆15Updated 11 months ago
• deeplearning-wisc / args
  ☆34Updated last year
• genrm-star / genrm-critiques
  GenRM-CoT: Data release for verification rationales
  ☆47Updated 4 months ago
• RLHFlow / RAFT
  This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or re…
  ☆23Updated 5 months ago
• alexrame / rewardedsoups
  Rewarded soups official implementation
  ☆55Updated last year
• ZHZisZZ / modpo
  [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization
  ☆66Updated 6 months ago
• Linear95 / DSP
  Domain-specific preference (DSP) data and customized RM fine-tuning.
  ☆24Updated 11 months ago
• Linear95 / APO
  Code for ACL2024 paper - Adversarial Preference Optimization (APO).
  ☆51Updated 8 months ago
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆56Updated 4 months ago
• BunsenFeng / AbstainQA
  AbstainQA, ACL 2024
  ☆25Updated 4 months ago
• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆55Updated 7 months ago
• Re-Align / AlignTDS
  Analyzing LLM Alignment via Token distribution shift
  ☆15Updated last year
• WeiXiongUST / Building-Math-Agents-with-Multi-Turn-Iterative-Preference-Learning
  This is an official implementation of the paper ``Building Math Agents with Multi-Turn Iterative Preference Learning'' with multi-turn DP…
  ☆20Updated 2 months ago
• WeiminXiong / IPR
  Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)
  ☆52Updated 4 months ago
• junkangwu / beta-DPO
  [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$
  ☆39Updated 3 months ago
• liziniu / policy_optimization
  Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)
  ☆26Updated last year
• princeton-nlp / WhatICLLearns
  [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning
  ☆21Updated last year
• CriticBench / CriticBench
  [ACL 2024 Findings] CriticBench: Benchmarking LLMs for Critique-Correct Reasoning
  ☆22Updated 11 months ago
• ValueCompass / Alignment-Goal-Survey
  ☆30Updated last year
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆62Updated 3 months ago
• SumilerGAO / SunGen
  ☆25Updated last year
• Reason-Wang / NAT
  The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agen…
  ☆23Updated 11 months ago
• YangRui2015 / RiC
  Code for the ICML 2024 paper "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"
  ☆55Updated last month
• GAIR-NLP / self-improvement-reversal
  ☆13Updated 7 months ago
• joeljang / RLPHF
  Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging
  ☆99Updated last year
• hbin0701 / Self-Explore
  [EMNLP Findings 2024 & ACL 2024 NLRSE Oral] Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards
  ☆48Updated 9 months ago
• Jiuzhouh / Uncertainty-Aware-Language-Agent
  This is the official repo for Towards Uncertainty-Aware Language Agent.
  ☆24Updated 6 months ago
• Zhou-Zoey / RMB-Reward-Model-Benchmark
  ☆23Updated last week
• kttian / llm_factuality_tuning
  ☆30Updated 9 months ago