Alternatives and similar repositories for Personalized_RLHF

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

• lorenzkuhn / semantic_uncertainty
  ☆184Updated last year
• TamSiuhin / OPPU
  Official Implementation of "Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning" at EMNLP 2024 Main Conf…
  ☆43Updated 6 months ago
• LaMP-Benchmark / LaMP
  Codes for papers on Large Language Models Personalization (LaMP)
  ☆185Updated 11 months ago
• YangRui2015 / RiC
  Code for the ICML 2024 paper "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"
  ☆79Updated 7 months ago
• tatsu-lab / conformal-factual-lm
  ☆33Updated last year
• deeplearning-wisc / args
  ☆46Updated last year
• KID-22 / LLM-IR-Bias-Fairness-Survey
  This is the repo for the survey of Bias and Fairness in IR with LLMs.
  ☆59Updated 5 months ago
• zlin7 / UQ-NLG
  ☆103Updated last year
• jamqd / Group-Preference-Optimization
  ☆24Updated last year
• glorgao / SelectiveDPO
  Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples
  ☆44Updated 6 months ago
• Varal7 / conformal-language-modeling
  Conformal Language Modeling
  ☆32Updated 2 years ago
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆85Updated 10 months ago
• Lingkai-Kong / RE-Control
  Code for paper: Aligning Large Language Models with Representation Editing: A Control Perspective
  ☆35Updated last year
• dtsip / in-context-learning
  ☆241Updated last year
• automl / is_mamba_capable_of_icl
  ☆18Updated last year
• MiaoXiong2320 / llm-uncertainty
  code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"
  ☆144Updated last year
• jinhaoduan / SAR
  [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
  ☆60Updated last year
• WEIYanbin1999 / GITA
  [NeurIPS 2024] GITA: Graph to Image-Text Integration for Vision-Language Graph Reasoning
  ☆53Updated 2 months ago
• 2003pro / ScaleBiO
  This is the official implementation of ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting
  ☆24Updated last year
• AI4LIFE-GROUP / LLM_Explainer
  Code for paper: Are Large Language Models Post Hoc Explainers?
  ☆34Updated last year
• PKU-ML / G1
  ☆35Updated 7 months ago
• weirayao / Retroformer
  ☆39Updated last year
• amazon-science / adaptive-in-context-learning
  AdaICL: Which Examples to Annotate of In-Context Learning? Towards Effective and Efficient Selection
  ☆19Updated 2 years ago
• 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…
  ☆75Updated last year
• UCSB-NLP-Chang / llm_uncertainty
  ☆42Updated 2 years ago
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆79Updated last year
• Peiyance / REVOLVE
  Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization
  ☆21Updated last year
• balevinstein / Probes
  ☆58Updated 2 years ago
• BYU-PCCL / leveraging-llms-for-mcqa
  This is the code for the ICLR 2023 paper "Leveraging Large Language Models for Multiple Choice Question Answering."
  ☆41Updated 2 years ago
• WANGXinyiLinda / LM_random_walk
  Official code for paper Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
  ☆21Updated last year