Alternatives and similar repositories for TruthfulQA

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

• RUCAIBox / HaluEval
  This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.
  ☆479Updated last year
• suzgunmirac / BIG-Bench-Hard
  Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
  ☆497Updated last year
• likenneth / honest_llama
  Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
  ☆532Updated 4 months ago
• allenai / natural-instructions
  Expanding natural instructions
  ☆1,006Updated last year
• voidism / DoLa
  Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
  ☆498Updated 5 months ago
• allenai / reward-bench
  RewardBench: the first evaluation tool for reward models.
  ☆604Updated 2 weeks ago
• shmsw25 / FActScore
  A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic…
  ☆356Updated 2 months ago
• anthropics / hh-rlhf
  Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"
  ☆1,759Updated last week
• kmeng01 / rome
  Locating and editing factual associations in GPT (NeurIPS 2022)
  ☆644Updated last year
• glgh / awesome-llm-human-preference-datasets
  A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.
  ☆367Updated last year
• potsawee / selfcheckgpt
  SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
  ☆537Updated last year
• ContextualAI / HALOs
  A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
  ☆859Updated 2 weeks ago
• hendrycks / test
  Measuring Massive Multitask Language Understanding | ICLR 2021
  ☆1,434Updated 2 years ago
• teacherpeterpan / self-correction-llm-papers
  This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.
  ☆531Updated 7 months ago
• GaryYufei / AlignLLMHumanSurvey
  Aligning Large Language Models with Human: A Survey
  ☆730Updated last year
• tatsu-lab / alpaca_eval
  An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
  ☆1,773Updated 5 months ago
• declare-lab / instruct-eval
  This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
  ☆545Updated last year
• nelson-liu / lost-in-the-middle
  Code and data for "Lost in the Middle: How Language Models Use Long Contexts"
  ☆348Updated last year
• madaan / self-refine
  LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
  ☆706Updated 8 months ago
• andyzoujm / representation-engineering
  Representation Engineering: A Top-Down Approach to AI Transparency
  ☆835Updated 10 months ago
• microsoft / TOXIGEN
  This repo contains the code for generating the ToxiGen dataset, published at ACL 2022.
  ☆321Updated last year
• SinclairCoder / Instruction-Tuning-Papers
  Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
  ☆769Updated last year
• bigcode-project / bigcode-evaluation-harness
  A framework for the evaluation of autoregressive code generation language models.
  ☆949Updated 7 months ago
• google-research / FLAN
  ☆1,527Updated last week
• tatsu-lab / alpaca_farm
  A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
  ☆813Updated 11 months ago
• tjunlp-lab / Awesome-LLMs-Evaluation-Papers
  The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.
  ☆772Updated last year
• yuchenlin / LLM-Blender
  [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…
  ☆947Updated 8 months ago
• RenzeLou / awesome-instruction-learning
  Papers and Datasets on Instruction Tuning and Following. ✨✨✨
  ☆497Updated last year
• anthropics / ConstitutionalHarmlessnessPaper
  ☆238Updated 2 years ago
• kmeng01 / memit
  Mass-editing thousands of facts into a transformer memory (ICLR 2023)
  ☆500Updated last year