Alternatives and similar repositories for hanna-benchmark-asg

Users that are interested in hanna-benchmark-asg are comparing it to the libraries listed below

• ellaneeman / disent_qa
  This code accompanies the paper DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering.
  ☆16Updated 2 years ago
• xu1998hz / InstructScore_SEScore3
  First explanation metric (diagnostic report) for text generation evaluation
  ☆62Updated 6 months ago
• ryokamoi / wice
  This repository contains the dataset and code for "WiCE: Real-World Entailment for Claims in Wikipedia" in EMNLP 2023.
  ☆42Updated last year
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆41Updated 2 years ago
• HKUNLP / icl-ceil
  [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
  ☆102Updated 2 years ago
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆59Updated last year
• GXimingLu / neurologic_decoding
  ☆82Updated 2 years ago
• wenhuchen / Time-Sensitive-QA
  Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"
  ☆73Updated 3 years ago
• realtimeqa / realtimeqa_public
  ☆78Updated last year
• eladsegal / strategyqa
  The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".
  ☆78Updated 2 years ago
• zhudotexe / fanoutqa
  Companion code for FanOutQA: Multi-Hop, Multi-Document Question Answering for Large Language Models (ACL 2024)
  ☆54Updated 2 months ago
• prakharguptaz / Instructdial
  Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning
  ☆100Updated 2 years ago
• liujch1998 / rainier
  ☆28Updated last year
• sunlab-osu / Understanding-CoT
  ☆88Updated 2 years ago
• matt-seb-ho / WikiWhy
  WikiWhy is a new benchmark for evaluating LLMs' ability to explain between cause-effect relationships. It is a QA dataset containing 9000…
  ☆47Updated last year
• hitz-zentroa / lm-contamination
  The LM Contamination Index is a manually created database of contamination evidences for LMs.
  ☆80Updated last year
• GXimingLu / Quark
  ☆75Updated last year
• krystalan / chatgpt_as_nlg_evaluator
  Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study
  ☆43Updated 2 years ago
• GAIR-NLP / MoPS
  [ACL 2024] Code for "MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story Generation"
  ☆39Updated last year
• yumeng5 / SuperGen
  [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
  ☆69Updated 3 years ago
• Silin159 / PeaCoK
  ☆33Updated 5 months ago
• thu-coai / OpenMEVA
  Benchmark for evaluating open-ended generation
  ☆50Updated 10 months ago
• liyongqi67 / MMCoQA
  ☆32Updated last year
• nicola-decao / KnowledgeEditor
  Code for Editing Factual Knowledge in Language Models
  ☆140Updated 3 years ago
• littlehacker26 / Discriminator-Cooperative-Unlikelihood-Prompt-Tuning
  The code implementation of the EMNLP2022 paper: DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Gene…
  ☆26Updated last year
• AlexTMallen / adaptive-retrieval
  ☆186Updated 2 months ago
• McGill-NLP / FaithDial
  ☆50Updated 2 years ago
• mikejqzhang / SituatedQA
  ☆22Updated 3 years ago
• anthonywchen / RARR
  RARR: Researching and Revising What Language Models Say, Using Language Models
  ☆48Updated 2 years ago
• nayeon7lee / FactualityPrompt
  ☆86Updated 2 years ago