Bel Esprit: Multi-Agent Framework for Building AI Model Pipelines

Language models are few-shot learners

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A (sub) graph isomorphism algorithm for matching large graphs

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Sentence-bert: Sentence embeddings using siamese bert-networks

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Prover: Proof generation for interpretable reasoning over rules

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Auto-pytorch: Multi-fidelity metalearning for efficient and robust autodl

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Selection-inference: Exploiting large language models for interpretable logical reasoning

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Synchromesh: Reliable code generation from pre-trained language models

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Language models are greedy reasoners: A systematic formal analysis of chain-of-thought

Abulhair Saparov and He He. 2022 · 2022

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Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges

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Guiding llms the right way: Fast, non-invasive constrained generation

Luca Beurer-Kellner, Marc Fischer, and Martin Vechev. 2024 · 2024

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Large language models as tool makers

Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, and Denny Zhou. 2024 · 2024

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The llama 3 herd of models

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Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, et al. 2024 · 2024

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Critic: Large language models can self-correct with tool-interactive critiquing

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Automated design of agentic systems

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Shengran Hu, Cong Lu, and Jeff Clune. 2024 · 2024

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