Language, speech & LLMs· 2023
Lost in the Middle: How Language Models Use Long Contexts
DOI 10.1162/tacl_a_00638arXiv 2307.03172OpenAlex W4391876619
On the reading lists
- #490 in the Top 500 (2026 edition)
- #73 in Language, speech & LLMs (2026 edition)
Why it matters
Exposed major positional retrieval weaknesses hidden by nominal context-window sizes.
Condensed from the expert lists' notes.
The record
- First released
- 2023 (from arXiv 2307.03172)
- Published
- 2024
- Citations
- 5,542 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Score
- 0.346 · computed rank 490 · consensus 0.23, must-read 0, citations percentile 0.792 (2020s · language), awards 0, existing lists 0. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.