Alternatives and similar repositories for Preference_Grounded_Guidance

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

• ruizheng20 / robust_ticket

  View on GitHub
  Code of Robust Lottery Tickets for Pre-trained Language Models (ACL2022)
  ☆20Jul 18, 2022Updated 3 years ago
• HITsz-TMG / ICL-State-Vector

  View on GitHub
  ☆12Jul 4, 2024Updated last year
• allenai / label_rationale_association

  View on GitHub
  Code for EMNLP 2021 paper "Measuring Association Between Labels and Free-Text Rationales"
  ☆12Sep 12, 2023Updated 2 years ago
• liziniu / GEM

  View on GitHub
  Code for Paper (Preserving Diversity in Supervised Fine-tuning of Large Language Models)
  ☆51May 12, 2025Updated 9 months ago
• feyzaakyurek / rl4f

  View on GitHub
  Code for RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. ACL 2023.
  ☆64Nov 27, 2024Updated last year
• yikee / Knowledge_Conflict

  View on GitHub
  Resolving Knowledge Conflicts in Large Language Models, COLM 2024
  ☆18Oct 7, 2025Updated 4 months ago
• gl-ybnbxb / BoNBoN

  View on GitHub
  ☆18Jun 3, 2024Updated last year
• lingo-mit / lm-truthfulness

  View on GitHub
  ☆17Dec 21, 2023Updated 2 years ago
• yuxiang-wu / gen-debiased-nli

  View on GitHub
  ☆20May 12, 2022Updated 3 years ago
• mansicer / Q-Adapter

  View on GitHub
  Implementation of ICLR 2025 paper "Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation"
  ☆18Oct 5, 2024Updated last year
• tengxiaoliu / LM_skip

  View on GitHub
  [NeurIPS 2024] Can Language Models Learn to Skip Steps?
  ☆22Jan 25, 2025Updated last year
• Complex-data / MUSER

  View on GitHub
  ☆19Nov 8, 2023Updated 2 years ago
• AndreasMadsen / nlp-roar-interpretability

  View on GitHub
  Measuring if attention is explanation with ROAR
  ☆22Mar 3, 2023Updated 2 years ago
• jma712 / GEAR

  View on GitHub
  ☆18Mar 28, 2022Updated 3 years ago
• UVa-NLP / VMASK

  View on GitHub
  Code for the paper "Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers"
  ☆18Dec 15, 2020Updated 5 years ago
• maitrix-org / dynamic-alignment-optimization

  View on GitHub
  [EMNLP'24 (Main)] DRPO(Dynamic Rewarding with Prompt Optimization) is a tuning-free approach for self-alignment. DRPO leverages a search-…
  ☆24Nov 17, 2024Updated last year
• yannadani / cbed

  View on GitHub
  Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.
  ☆20Jan 3, 2023Updated 3 years ago
• code-terminator / invariant_rationalization

  View on GitHub
  Tensorflow implementation of Invariant Rationalization
  ☆50Feb 16, 2023Updated 3 years ago
• activatedgeek / calibration-tuning

  View on GitHub
  ☆53Apr 9, 2025Updated 10 months ago
• wangcunxiang / QA-Eval

  View on GitHub
  The repository for paper <Evaluating Open-QA Evaluation>
  ☆25Apr 9, 2024Updated last year
• hkust-nlp / felm

  View on GitHub
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆63Dec 25, 2023Updated 2 years ago
• HKUNLP / icl-ceil

  View on GitHub
  [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
  ☆102Mar 15, 2023Updated 2 years ago
• general-preference / general-preference-model

  View on GitHub
  [ICML 2025] Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment (https://arxiv.org/abs/2410.02197)
  ☆39Sep 8, 2025Updated 5 months ago
• UKPLab / acl2020-confidence-regularization

  View on GitHub
  ☆24May 22, 2023Updated 2 years ago
• unbiarirang / Fixed-Input-Parameterization

  View on GitHub
  This repository contains the official code for the paper: "Prompt Injection: Parameterization of Fixed Inputs"
  ☆32Sep 13, 2024Updated last year
• BunsenFeng / AbstainQA

  View on GitHub
  AbstainQA, ACL 2024
  ☆28Feb 4, 2026Updated last week
• Arvid-pku / ALCUNA

  View on GitHub
  [EMNLP 2023] ALCUNA: Large Language Models Meet New Knowledge
  ☆29Oct 30, 2023Updated 2 years ago
• BeastyZ / LLM-Verified-Retrieval

  View on GitHub
  Repo for Llatrieval
  ☆31Aug 21, 2024Updated last year
• rivercold / BERT-unsupervised-OOD

  View on GitHub
  Code for ACL 2021 paper "Unsupervised Out-of-Domain Detection via Pre-trained Transformers"
  ☆30Aug 20, 2021Updated 4 years ago
• SawanKumar28 / nile

  View on GitHub
  NILE : Natural Language Inference with Faithful Natural Language Explanations
  ☆30Jun 12, 2023Updated 2 years ago
• TsinghuaC3I / Intuitive-Fine-Tuning

  View on GitHub
  [ACL 2025, Main Conference, Oral] Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
  ☆30Aug 2, 2024Updated last year
• jzbjyb / lm-calibration

  View on GitHub
  ☆35Nov 17, 2021Updated 4 years ago
• kttian / llm_factuality_tuning

  View on GitHub
  ☆39May 2, 2024Updated last year
• RUCAIBox / RLMEC

  View on GitHub
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆39Jan 12, 2024Updated 2 years ago
• dgliu / SIGIR20_KDCRec

  View on GitHub
  Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"
  ☆35May 18, 2020Updated 5 years ago
• XanderJC / attention-based-credit

  View on GitHub
  Code for the paper: Dense Reward for Free in Reinforcement Learning from Human Feedback (ICML 2024) by Alex J. Chan, Hao Sun, Samuel Holt…
  ☆38Aug 11, 2024Updated last year
• sylinrl / CalibratedMath

  View on GitHub
  Teaching Models to Express Their Uncertainty in Words
  ☆39May 26, 2022Updated 3 years ago
• sydney-machine-learning / review-classimbalanced-ensemblelearning

  View on GitHub
  A review of class imbalanced problems using data augumentation and ensemble learning
  ☆10Mar 15, 2023Updated 2 years ago
• LUMIA-Group / PonderingLM

  View on GitHub
  Official implementation of the paper "Pretraining Language Models to Ponder in Continuous Space"
  ☆24Jul 21, 2025Updated 6 months ago