NLP Newsletter

Share this post

🥇Top ML Papers of the Week

nlp.elvissaravia.com

Discover more from NLP Newsletter

The NLP newsletter covers the latest trending natural language processing (NLP) and machine learning (ML) news, projects, resources, and research papers.
Over 10,000 subscribers
Continue reading
Sign in

🥇Top ML Papers of the Week

The top ML Papers of the Week (April 10 - April 16)

elvis
Apr 16, 2023
18
Share this post

🥇Top ML Papers of the Week

nlp.elvissaravia.com
Share

1). Zip-NeRF - combines mip-NeRF 360 and grid-based models to improve NeRFs that train 22x faster than mip-NeRF 360. (paper | tweet)


2). LLMs as Generative Agents - proposes an architecture that extends LLMs to build agents that enable simulations of human-like behavior; these capabilities are possible by storing a complete record of an agent's experiences, synthesizing memories over time into higher-level reflections, and retrieving them dynamically to plan behavior. (paper | tweet)


3). Scientific Research Capabilities of LLMs - presents an agent that combines LLMs for autonomous design, planning, and execution of scientific experiments; shows emergent scientific research capabilities, including the successful performance of catalyzed cross-coupling reactions. (paper | tweet)


4). Automatic Gradient Descent - derives optimization algorithms that explicitly leverage neural architecture; it proposes a first-order optimizer without hyperparameters that trains CNNs at ImageNet scale. (paper | tweet)


5). ChemCrow - presents an LLM chemistry agent that performs tasks across synthesis, drug discovery, and materials design; it integrates 13 expert-design tools to augment LLM performance in chemistry and demonstrate effectiveness in automating chemical tasks. (paper | tweet)


6). A Survey of ChatGPT and GPT-4 (paper | tweet)


7). OpenAGI - an open-source research platform to facilitate the development and evaluation of LLMs in solving complex, multi-step tasks through manipulating various domain expert models. (paper | tweet)


8). AGIEval - a new benchmark to assess foundational models in the context of human-centric standardized exams, including college entrance exams, law school admission tests, and math competitions, among others. (paper | tweet)


9). Teaching LLMs to Self-Debug - proposes an approach that teaches LLMs to debug their predicted program via few-shot demonstrations; this allows a model to identify its mistakes by explaining generated code in natural language; achieves SoTA on several code generation tasks like text-to-SQL generation. (paper | tweet)


10). Segment Everything Everywhere All at Once - a promptable, interactive model for various segmentation tasks that yields competitive performance on open-vocabulary and interactive segmentation benchmarks. (paper | tweet)


Please note that Substack is having issues embedding tweets so we provided a tweet link instead. Thanks for all your support.

18
Share this post

🥇Top ML Papers of the Week

nlp.elvissaravia.com
Share
Comments
Top
New
Community

No posts

Ready for more?

© 2023 elvis
Privacy ∙ Terms ∙ Collection notice
Start WritingGet the app
Substack is the home for great writing