Research desk
The papers behind how we build
An annotated reading list. Every entry is credited to its original authors, with a note on what it changes once the idea meets a real system.
All entries
1 entry
- 2021NeurIPS 2021PublishedCurated
BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models
A collection of retrieval datasets spanning very different domains and task types, used to test whether a retriever that works on one corpus still works on another without retraining. The headline finding is that sparse lexical baselines remain hard to beat out of domain.
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Foundations
The architectures and pre-training results everything else stands on.
3 entries
Retrieval & RAG
Grounding a model in documents you actually own.
5 entries
Reasoning
Getting a model to show its work, and checking the work.
6 entries
Agents & Tool Use
Models that call tools, hold state, and finish multi-step jobs.
8 entries
Adaptation
Changing what a model does without retraining all of it.
4 entries
Alignment
Steering outputs toward what a person would accept.
6 entries
Evaluation
How you know it works before a customer finds out it does not.
11 entries