White papers that built the field
From Attention Is All You Need to this month. Each entry has a verified link and one sentence on why it matters to someone who writes prompts for a living. Essentials are marked; the rest are the connective tissue between them.
The timeline
Showing —. Click a title for the abstract; PDF links go straight to arXiv.
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How to read this list
Essentials first
If you only read the starred entries you will understand every major turn in the field: attention, scaling, few-shot prompting, chain-of-thought, RLHF, open weights, long context, test-time compute, reasoning models, agents, and the alignment results that complicate all of it.
Vendor reports count
Since 2023 much of the most important work ships as a company blog post or system card rather than an arXiv paper. Those are included and linked to the primary source, never to coverage of it.
Corrections welcome
The list is maintained in a single data file in the site repository. If a landmark paper is missing or a link is wrong, open an issue or a pull request.
Benchmarks and community evaluation
Where capability claims get checked.
OpenAI Evals
The open evaluation framework this site has contributed to since 2023. Pull requests · Issues
SWE-bench
Real GitHub issues, real repositories. The yardstick for coding agents, with Verified and Pro variants.
LMArena (Chatbot Arena)
Blind pairwise human votes. Imperfect, gameable, and still the leaderboard everyone watches.
ARC Prize
Chollet's abstraction-and-reasoning tasks, now in a second generation, as a measure of novel problem solving rather than memorized skill.
Humanity's Last Exam
Expert-written questions at the frontier of human knowledge, designed to be the last closed-ended academic benchmark.
Research program
The site's own agenda, carried forward from 2023.
Multilingual transfer for low-resource languages
Adaptive Language Weighting (ALW): reweighting the contribution of high-resource languages during adaptation so that transfer to low-resource targets improves without catastrophic forgetting. Linear (ALRMM) and non-linear (N-ALRMM) weighting schedules. Status: working notes and code; see the low-resource prompting guide for the practitioner side.
Prompt-chain structuring
Methods for decomposing a goal into a chain of model calls whose intermediate outputs are typed and checkable. This thread grew into the Prompt Constructor and the agentic-workflow guide in the library.
Evaluating reasoning traces
Given the 2025 findings that chains of thought are often unfaithful, how should a practitioner read them? Collecting cases where the visible reasoning predicted the answer and where it did not.
Repositories
All research code is published under github.com/JLColeman2792.