Strong-AI-Lab / Logical-Equivalence-driven-AMR-Data-Augmentation-for-Representation-LearningLinks
The source code for Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning. #1 on the ReClor Leaderboard and we are the first group scored above 90% on the hidden test set around the world. The paper has been accepted by the Findings of ACL-24.
☆15Updated 4 months ago
Alternatives and similar repositories for Logical-Equivalence-driven-AMR-Data-Augmentation-for-Representation-Learning
Users that are interested in Logical-Equivalence-driven-AMR-Data-Augmentation-for-Representation-Learning are comparing it to the libraries listed below
Sorting:
- [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.☆16Updated 3 years ago
- The code of Paper "Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text".☆46Updated 2 years ago
- ☆36Updated last year
- Supporting code for ReCEval paper☆29Updated last year
- the instructions and demonstrations for building a formal logical reasoning capable GLM☆54Updated last year
- Resources for our ACL 2023 paper: Distilling Script Knowledge from Large Language Models for Constrained Language Planning☆36Updated 2 years ago
- ☆23Updated 2 years ago
- 🤖ConvRe🤯: An Investigation of LLMs’ Inefficacy in Understanding Converse Relations (EMNLP 2023)☆23Updated last year
- The official repository for the paper "From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning".☆66Updated 2 years ago
- [NeurIPS 2021] Open Rule Induction☆19Updated 3 years ago
- Evaluation on Logical Reasoning and Abstract Reasoning Challenges☆28Updated 4 months ago
- PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)☆73Updated 3 years ago
- 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
- Complexity Based Prompting for Multi-Step Reasoning☆17Updated 2 years ago
- Repo for outstanding paper@ACL 2023 "Do PLMs Know and Understand Ontological Knowledge?"☆32Updated last year
- Official repo for ACL 2023 paper Code4Struct: Code Generation for Few-Shot Structured Prediction from Natural Language.☆40Updated last year
- ☆28Updated last year
- Source code of our paper "Focus on the Target’s Vocabulary: Masked Label Smoothing for Machine Translation" @ACL-2022☆18Updated 3 years ago
- AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension (ACL 2022)☆26Updated 3 years ago
- ☆82Updated 2 years ago
- Code for reproducing the ACL'23 paper: Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments☆78Updated 4 months ago
- Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study☆43Updated 2 years ago
- [Findings of ACL 2022] Meta-Path Guided Contrastive Learning for Logical Reasoning of Text☆28Updated 3 years ago
- reStructured Pre-training☆98Updated 2 years ago
- ☆32Updated last year
- ☆45Updated last year
- Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"☆73Updated 3 years ago
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆41Updated 2 years ago
- [SIGIR 2022] The implementation of Logiformer☆28Updated last year
- Language Models of Code are Few-Shot Commonsense Learners (EMNLP 2022)☆86Updated 2 years ago