google-research-datasets / Attributed-QALinks
We believe the ability of an LLM to attribute the text that it generates is likely to be crucial for both system developers and users in information-seeking scenarios. This release consists of human-rated system outputs for a new question-answering task, Attributed Question Answering (AQA).
☆54Updated 2 years ago
Alternatives and similar repositories for Attributed-QA
Users that are interested in Attributed-QA are comparing it to the libraries listed below
Sorting:
- Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"☆86Updated last year
- [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers☆136Updated last year
- ☆54Updated 2 years ago
- ☆29Updated last year
- Retrieval Augmented Generation Generalized Evaluation Dataset☆59Updated 5 months ago
- ☆101Updated 3 years ago
- Code and model release for the paper "Task-aware Retrieval with Instructions" by Asai et al.☆165Updated 2 years ago
- Retrieval-Augmented Generation battle!☆61Updated 4 months ago
- SWIM-IR is a Synthetic Wikipedia-based Multilingual Information Retrieval training set with 28 million query-passage pairs spanning 33 la…☆49Updated 2 years ago
- A Human-LLM Collaborative Dataset for Generative Information-seeking with Attribution☆35Updated 2 years ago
- ☆46Updated 3 years ago
- Code and data accompanying the paper "TRUE: Re-evaluating Factual Consistency Evaluation".☆82Updated last week
- Dataset from the paper "Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering" (COLING 2022)☆117Updated 3 years ago
- AuditNLG: Auditing Generative AI Language Modeling for Trustworthiness☆101Updated 11 months ago
- Code for the arXiv paper: "LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond"☆61Updated 11 months ago
- Code, datasets, models for the paper "Automatic Evaluation of Attribution by Large Language Models"☆56Updated 2 years ago
- [ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners☆116Updated 5 months ago
- ☆87Updated 8 months ago
- Scalable training for dense retrieval models.☆298Updated 6 months ago
- This is the repository for our paper "INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning"☆207Updated last year
- ☆75Updated last year
- Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval☆51Updated 6 months ago
- [EMNLP 2022] This is the code repo for our EMNLP‘22 paper "COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contr…☆50Updated 2 years ago
- Starbucks: Improved Training for 2D Matryoshka Embeddings☆22Updated 5 months ago
- Inquisitive Parrots for Search☆199Updated 6 months ago
- Code of ICLR paper: https://openreview.net/forum?id=-cqvvvb-NkI☆95Updated 2 years ago
- ☆49Updated 2 years ago
- [EMNLP 2024] A Retrieval Benchmark for Scientific Literature Search☆102Updated last year
- The official code repo for "Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations".☆85Updated last year
- The autoregressive information extraction system GenIE (Generative Information Extraction) implemented in PyTorch.☆104Updated 2 years ago