zhudotexe / fanoutqaLinks
Companion code for FanOutQA: Multi-Hop, Multi-Document Question Answering for Large Language Models (ACL 2024)
☆53Updated 3 weeks ago
Alternatives and similar repositories for fanoutqa
Users that are interested in fanoutqa are comparing it to the libraries listed below
Sorting:
- Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"☆101Updated 2 years ago
- First explanation metric (diagnostic report) for text generation evaluation☆62Updated 3 months ago
- The data and the PyTorch implementation for the models and experiments in the paper "Exploiting Asymmetry for Synthetic Training Data Gen…☆61Updated 2 years ago
- BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval☆125Updated 2 weeks ago
- ☆86Updated 2 years ago
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆68Updated last year
- Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval☆50Updated 7 months ago
- A comprehensive paper list of Reasoning over Tables.☆28Updated 2 years ago
- Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"☆71Updated 3 years ago
- Merging Generated and Retrieved Knowledge for Open-Domain QA (EMNLP 2023)☆22Updated last year
- ☆75Updated last year
- [Neurips2023] Source code for Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory☆59Updated 2 years ago
- Official codebase for permutation self-consistency.☆18Updated last year
- Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"☆62Updated 2 years ago
- Code for Search-in-the-Chain: Towards Accurate, Credible and Traceable Large Language Models for Knowledge-intensive Tasks☆56Updated last year
- "FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning" (ACL 2023)☆14Updated last year
- This repository contains the dataset and code for "WiCE: Real-World Entailment for Claims in Wikipedia" in EMNLP 2023.☆40Updated last year
- ☆38Updated last year
- 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
- [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.☆100Updated 2 years ago
- A toolkit for building dense retrievers with deep language models.☆60Updated 3 years ago
- ☆9Updated last year
- Repository for MuSiQue: Multi-hop Questions via Single-hop Question Composition, TACL 2022☆137Updated 11 months ago
- ☆28Updated last year
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆70Updated 9 months ago
- ☆107Updated last year
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆40Updated 2 years ago
- Code and dataset for the emnlp paper titled Instruct and Extract: Instruction Tuning for On-Demand Information Extraction☆52Updated last year
- ConvGQR: Generative Query Reformulation for Conversational Search. A codebase for ACL 2023 accepted paper.☆30Updated last year
- A Human-LLM Collaborative Dataset for Generative Information-seeking with Attribution☆31Updated last year