Alternatives and similar repositories for FalseQA:

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

• princeton-nlp / Cognac
  Repo for paper: Controllable Text Generation with Language Constraints
  ☆19Updated last year
• liyongqi67 / MMCoQA
  ☆31Updated last year
• Lukeming-tsinghua / Instruction-Tuning-for-Open-world-IE
  ☆21Updated last year
• liujch1998 / rainier
  ☆28Updated last year
• Mayer123 / UDT-QA
  Code for the paper "Open Domain Question Answering with A Unified Knowledge Interface" (ACL 2022)
  ☆57Updated last year
• THU-KEG / KoLA
  [ICLR24] The open-source repo of THU-KEG's KoLA benchmark.
  ☆50Updated last year
• KwanWaiChung / M4LE
  Code for M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models
  ☆22Updated 7 months ago
• yunx-z / COMBO
  Merging Generated and Retrieved Knowledge for Open-Domain QA (EMNLP 2023)
  ☆22Updated last year
• Spico197 / awesome-lm-evaluation
  🩺 A collection of ChatGPT evaluation reports on various bechmarks.
  ☆48Updated last year
• OhadRubin / EPR
  ☆61Updated 2 years ago
• ellaneeman / disent_qa
  This code accompanies the paper DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering.
  ☆17Updated 2 years ago
• khuangaf / ZeroFEC
  Official implementation of the ACL 2023 paper: "Zero-shot Faithful Factual Error Correction"
  ☆17Updated last year
• RUCAIBox / LLM-Knowledge-Boundary
  Implementation of "Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation"
  ☆79Updated last year
• siyuyuan / coscript
  Resources for our ACL 2023 paper: Distilling Script Knowledge from Large Language Models for Constrained Language Planning
  ☆36Updated last year
• sion-zcfei / CQG
  The codes for ACL2022 paper “CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation
  ☆22Updated 2 years ago
• THU-KEG / COPEN
  The official code and dataset for EMNLP 2022 paper "COPEN: Probing Conceptual Knowledge in Pre-trained Language Models".
  ☆20Updated 2 years ago
• wenhuchen / Time-Sensitive-QA
  Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"
  ☆67Updated 3 years ago
• ChiyuSONG / dynamics-of-instruction-tuning
  ☆16Updated 3 weeks ago
• dqxiu / PLMs-with-Knowledge
  ☆17Updated 2 years ago
• c-box / KnowledgeLifecycle
  Paper list of "The Life Cycle of Knowledge in Big Language Models: A Survey"
  ☆59Updated last year
• artpli / CodeIE
  [ACL 23] CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors
  ☆36Updated last month
• dqxiu / CaliNet
  ☆33Updated 2 years ago
• Zeng-WH / Prompt-Tuning
  Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"
  ☆57Updated 2 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
• xu1998hz / InstructScore_SEScore3
  First explanation metric (diagnostic report) for text generation evaluation
  ☆62Updated 3 weeks ago
• HornHehhf / RR
  ☆45Updated 11 months ago
• qtli / Papers-on-Dialogue-System
  A Survey of Neural Dialogue Systems
  ☆19Updated 3 years ago
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆58Updated last year
• GAIR-NLP / alignment-for-honesty
  ☆73Updated 10 months ago
• zhliu0106 / probing-lm-data
  Official Implementation of "Probing Language Models for Pre-training Data Detection"
  ☆17Updated 3 months ago