Alternatives and similar repositories for rome

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

• likenneth / honest_llama
  Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
  ☆556Updated 9 months ago
• kmeng01 / memit
  Mass-editing thousands of facts into a transformer memory (ICLR 2023)
  ☆530Updated last year
• andyzoujm / representation-engineering
  Representation Engineering: A Top-Down Approach to AI Transparency
  ☆915Updated last year
• davidbau / baukit
  ☆237Updated last year
• AlignmentResearch / tuned-lens
  Tools for understanding how transformer predictions are built layer-by-layer
  ☆546Updated 3 months ago
• RUCAIBox / HaluEval
  This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.
  ☆526Updated last year
• glgh / awesome-llm-human-preference-datasets
  A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.
  ☆384Updated 2 years ago
• ContextualAI / HALOs
  A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
  ☆893Updated last month
• allenai / reward-bench
  RewardBench: the first evaluation tool for reward models.
  ☆656Updated 5 months ago
• voidism / DoLa
  Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
  ☆523Updated 10 months ago
• suzgunmirac / BIG-Bench-Hard
  Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
  ☆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.
  ☆551Updated last year
• shmsw25 / FActScore
  A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic…
  ☆403Updated 7 months ago
• openai / sparse_autoencoder
  ☆543Updated last year
• stanfordnlp / pyvene
  Stanford NLP Python library for understanding and improving PyTorch models via interventions
  ☆828Updated last month
• SinclairCoder / Instruction-Tuning-Papers
  Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
  ☆768Updated 2 years ago
• mingkaid / rl-prompt
  Accompanying repo for the RLPrompt paper
  ☆357Updated last year
• nelson-liu / lost-in-the-middle
  Code and data for "Lost in the Middle: How Language Models Use Long Contexts"
  ☆362Updated last year
• sylinrl / TruthfulQA
  TruthfulQA: Measuring How Models Imitate Human Falsehoods
  ☆840Updated 10 months ago
• anthropics / ConstitutionalHarmlessnessPaper
  ☆248Updated 2 years ago
• kojima-takeshi188 / zero_shot_cot
  Prod Env
  ☆434Updated 2 years ago
• lukasberglund / reversal_curse
  ☆297Updated 2 years ago
• facebookresearch / atlas
  Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…
  ☆551Updated last year
• google-research / prompt-tuning
  Original Implementation of Prompt Tuning from Lester, et al, 2021
  ☆696Updated 8 months ago
• teacherpeterpan / self-correction-llm-papers
  This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.
  ☆557Updated last year
• Shark-NLP / OpenICL
  OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.
  ☆578Updated 2 years ago
• jayelm / gisting
  Learning to Compress Prompts with Gist Tokens - https://arxiv.org/abs/2304.08467
  ☆299Updated 9 months ago
• princeton-nlp / LESS
  [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
  ☆505Updated last year
• HoagyC / sparse_coding
  Using sparse coding to find distributed representations used by neural networks.
  ☆283Updated 2 years ago
• allenai / natural-instructions
  Expanding natural instructions
  ☆1,025Updated last year