Alternatives and similar repositories for rome:

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

• kmeng01 / memit
  Mass-editing thousands of facts into a transformer memory (ICLR 2023)
  ☆470Updated last year
• likenneth / honest_llama
  Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
  ☆514Updated last month
• andyzoujm / representation-engineering
  Representation Engineering: A Top-Down Approach to AI Transparency
  ☆807Updated 7 months ago
• voidism / DoLa
  Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
  ☆473Updated 2 months ago
• davidbau / baukit
  ☆195Updated last year
• princeton-nlp / LESS
  [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
  ☆421Updated 5 months ago
• ContextualAI / HALOs
  A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
  ☆817Updated 2 weeks ago
• Shark-NLP / OpenICL
  OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.
  ☆552Updated last year
• suzgunmirac / BIG-Bench-Hard
  Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
  ☆471Updated 8 months ago
• shmsw25 / FActScore
  A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic…
  ☆330Updated 10 months ago
• allenai / reward-bench
  RewardBench: the first evaluation tool for reward models.
  ☆526Updated 3 weeks ago
• tatsu-lab / alpaca_farm
  A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
  ☆801Updated 8 months ago
• SinclairCoder / Instruction-Tuning-Papers
  Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
  ☆766Updated last year
• kojima-takeshi188 / zero_shot_cot
  Prod Env
  ☆408Updated last year
• nelson-liu / lost-in-the-middle
  Code and data for "Lost in the Middle: How Language Models Use Long Contexts"
  ☆334Updated last year
• sail-sg / lorahub
  [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
  ☆619Updated 8 months ago
• RUCAIBox / HaluEval
  This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.
  ☆450Updated last year
• glgh / awesome-llm-human-preference-datasets
  A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.
  ☆350Updated last year
• facebookresearch / atlas
  Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…
  ☆529Updated last year
• declare-lab / instruct-eval
  This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
  ☆543Updated last year
• AlignmentResearch / tuned-lens
  Tools for understanding how transformer predictions are built layer-by-layer
  ☆480Updated 9 months ago
• neelsjain / NEFTune
  Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning
  ☆393Updated 10 months ago
• sylinrl / TruthfulQA
  TruthfulQA: Measuring How Models Imitate Human Falsehoods
  ☆696Updated 2 months ago
• google-research / prompt-tuning
  Original Implementation of Prompt Tuning from Lester, et al, 2021
  ☆673Updated 2 weeks ago
• zjunlp / KnowledgeEditingPapers
  Must-read Papers on Knowledge Editing for Large Language Models.
  ☆1,035Updated 2 weeks ago
• anthropics / ConstitutionalHarmlessnessPaper
  ☆235Updated 2 years ago
• r-three / t-few
  Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"
  ☆447Updated last year
• lukasberglund / reversal_curse
  ☆286Updated last year
• allenai / FineGrainedRLHF
  ☆271Updated 2 months ago
• eric-mitchell / mend
  MEND: Fast Model Editing at Scale
  ☆242Updated last year