orionw / FollowIRLinks
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
☆44Updated 11 months ago
Alternatives and similar repositories for FollowIR
Users that are interested in FollowIR are comparing it to the libraries listed below
Sorting:
- Official codebase for permutation self-consistency.☆18Updated last year
- Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval☆50Updated this week
- IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…☆32Updated last year
- ☆23Updated last month
- ☆68Updated 2 years ago
- [arXiv preprint] Official Repository for "Evaluating Language Models as Synthetic Data Generators"☆33Updated 6 months ago
- Retrieval as Attention☆82Updated 2 years ago
- [WWW 2024] The official repo for paper "Scalable and Effective Generative Information Retrieval".☆57Updated last year
- [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training☆22Updated 10 months ago
- ☆71Updated last year
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆69Updated last year
- ☆54Updated 2 years ago
- ☆45Updated 10 months ago
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆40Updated 2 years ago
- A toolkit for building dense retrievers with deep language models.☆60Updated 3 years ago
- Code for Search-in-the-Chain: Towards Accurate, Credible and Traceable Large Language Models for Knowledge-intensive Tasks☆57Updated last year
- Implementation of the paper: "Answering Questions by Meta-Reasoning over Multiple Chains of Thought"☆95Updated last year
- ☆18Updated 10 months ago
- [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages☆48Updated 6 months ago
- Python package for serving a local search engine. One command to download and serve a datastore---that's it 😎.☆21Updated 2 weeks ago
- ☆22Updated 2 years ago
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆54Updated last year
- ☆75Updated last year
- ☆20Updated last month
- ☆29Updated last year
- BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval☆144Updated last month
- LongHeads: Multi-Head Attention is Secretly a Long Context Processor☆29Updated last year
- [ACL 2024] LangBridge: Multilingual Reasoning Without Multilingual Supervision☆89Updated 7 months ago
- "FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning" (ACL 2023)☆14Updated last year
- Organize the Web: Constructing Domains Enhances Pre-Training Data Curation☆55Updated last month