PhilippChr / EXPLAIGNNLinks
Code for our SIGIR 2023 paper. EXPLAIGNN provides a pipeline for conversational question answering (ConvQA) over heterogeneous sources, and code for iterative graph neural networks (GNNs). Such iterative GNNs can help to causally explaignn GNN outputs.
☆14Updated 2 years ago
Alternatives and similar repositories for EXPLAIGNN
Users that are interested in EXPLAIGNN are comparing it to the libraries listed below
Sorting:
- ☆22Updated last year
- "Few-shot In-context Learning for Knowledge Base Question Answering" [ACL2023]☆61Updated 5 months ago
- ☆19Updated last year
- [NAACL 2024] Making Language Models Better Tool Learners with Execution Feedback☆41Updated last year
- ☆109Updated last year
- Official repo for ACL 2023 paper Code4Struct: Code Generation for Few-Shot Structured Prediction from Natural Language.☆42Updated last year
- [EMNLP 2023] C-STS: Conditional Semantic Textual Similarity☆73Updated last year
- ☆35Updated last year
- Code for reproducing the ACL'23 paper: Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments☆74Updated last month
- [NAACL 2024] End-to-End Beam Retrieval for Multi-Hop Question Answering☆107Updated last year
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆40Updated 2 years ago
- Repository for MuSiQue: Multi-hop Questions via Single-hop Question Composition, TACL 2022☆150Updated last year
- Repo for Llatrieval☆30Updated 10 months ago
- Self-Knowledge Guided Retrieval Augmentation for Large Language Models (EMNLP Findings 2023)☆26Updated last year
- This is the code for the Submission 3358 at NeurIPS 2022.☆22Updated 2 years ago
- [Neurips2023] Source code for Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory☆60Updated 2 years ago
- ☆96Updated 2 years ago
- The code for paper "ProQA: Structural Prompt-based Pre-training for Unified Question Answering"☆11Updated 2 years ago
- Merging Generated and Retrieved Knowledge for Open-Domain QA (EMNLP 2023)☆22Updated last year
- Resources for Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP 2022.☆22Updated 2 years ago
- [ACL'23 Findings] "Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors"☆40Updated last year
- ☆33Updated 8 months ago
- ☆45Updated last year
- This is the repository for paper "CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models"☆25Updated last year
- Repo for outstanding paper@ACL 2023 "Do PLMs Know and Understand Ontological Knowledge?"☆32Updated last year
- Code and data associated with the AmbiEnt dataset in "We're Afraid Language Models Aren't Modeling Ambiguity" (Liu et al., 2023)☆64Updated last year
- Code for "Small Models are Valuable Plug-ins for Large Language Models"☆130Updated 2 years ago
- Companion code for FanOutQA: Multi-Hop, Multi-Document Question Answering for Large Language Models (ACL 2024)☆53Updated 2 weeks ago
- ☆68Updated 2 years ago
- Repo for ACL2023 paper "Plug-and-Play Knowledge Injection for Pre-trained Language Models"☆61Updated last year