Lists (1)
Stars
INFRA-COMPASS is a tool that leverages Large Language Models (LLMs) to create and maintain an inventory of state and local codes and ordinances applicable to energy infrastructure.
Agentic components of the Llama Stack APIs
[EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627
[NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
[NIPS'24] UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
The public repo for the source code of WindBorne's WeatherMesh-3
Code release for "CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning", ICLR 2025
Inspect: A framework for large language model evaluations
Probing the limitations of multimodal language models for chemistry and materials research
Implementation of CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation
Curated list of known efforts in materials informatics, i.e. in modern materials science
Materials Science Understanding Large Language Model
[ICLR 2025] <MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses>
Accelerating the development of large multimodal models (LMMs) with one-click evaluation module - lmms-eval.
Automated Hypothesis Testing with Agentic Sequential Falsifications
Solve Visual Understanding with Reinforced VLMs
Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…