AI Papers of the Week
Every paper worth reading in AI, hand-picked one week at a time.
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ChemCrow: Augmenting LLMs with Chemistry Tools
An LLM chemistry agent with 13 expert-designed tools.
One Small Step for Generative AI, One Giant Leap for AGI
A complete survey on ChatGPT and GPT-4.
OpenAGI: When LLM Meets Domain Experts
An open-source research platform for LLM agents manipulating domain expert models.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
A benchmark using real human standardized exams.
Teaching Large Language Models to Self-Debug
Teaches LLMs to debug their own code via few-shot demonstrations.
Segment Everything Everywhere All at Once (SEEM)
A promptable, interactive segmentation model.
Segment Anything (SAM)
Meta's foundational model for image segmentation with massive training data release.
Instruction Tuning with GPT-4
Uses GPT-4 to generate instruction-following data for LLM fine-tuning.
Eight Things to Know about Large Language Models
Sam Bowman's influential primer on key LLM considerations.
A Survey of Large Language Models
A 50-page comprehensive survey on LLMs.
Baize: An Open-Source Chat Model with Self-Chat Data
An open chat model fine-tuned with LoRA on self-chat dialogs.
MACHIAVELLI Benchmark
A benchmark of 134 text-based Choose-Your-Own-Adventure games for measuring ethical trade-offs.
Better Language Models of Code through Self-Improvement
Self-improving code LLMs via pseudo-data generation.
Summary of ChatGPT/GPT-4 Research
An overview of ChatGPT and GPT-4 applications based on 194 papers.
Pythia
EleutherAI's suite for analyzing LLMs across training and scaling.
SegGPT: Segmenting Everything In Context
Unifies segmentation tasks into a generalist in-context model.