Which papers will the next GPT iteration technical report cite?
5
Ṁ400Ṁ152Jan 2
82%
WEAK-TO-STRONG GENERALIZATION: ELICITING
STRONG CAPABILITIES WITH WEAK SUPERVISION
59%
Textbooks Are All You Need
52%
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
52%
ReAct: Synergizing Reasoning and Acting in Language Models
52%
PaLM 2 Technical Report
52%
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
49%
Mathematical discoveries from program search with large language models
48%
GAIA: a benchmark for General AI Assistants
23%
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Inspired by https://manifold.markets/Bayesian/will-gpt6-be-trained-with-mixtureof
If no technical report is published, will eventually NA, but will give OpenAI some time. Updates to previous technical reports will not count. This is for GPT-4.5, GPT-6, GPT-X. Whatever is next!
See https://arxiv.org/pdf/2303.08774.pdf for an example of what OpenAI cited for the GPT4 technical report.
Add your favorite llm papers!
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