Research Focus: Week of May 27, 2024
How can generative AI tools represent less common identities and narratives; Can LLMs help players participate in game narratives; Using LLMs to improve geospatial demographic data; A Graph RAG Approach to Query-Focused Summarization; and more.
TE-CCL
TE-CCL is a tool to generate collective communication schedules for large topologies using a Traffic Engineering-based solver. TE-CCL takes in a topology and collective (e.g. AllGather) and outputs a schedule (in JSON) detailing data transfer…
Soroush: Max-min fair resource allocation solution
Soroush is a general and scalable max-min fair allocator. It consists of a group of approximate and heuristic methods that (a) solve at most one optimization, and (b) enable users to control the trade-offs between…
RASCAL: Novel robotics for scalable and highly available automated storage and retrieval
RASCAL is an untethered robot with a modular design, allowing it to move flexibly along and between evenly spaced storage shelves. Discover how it can address the availability and scalability challenges of existing automated storage…
NeMoEval: A Benchmark Tool for Natural Language-based Network Management
This is a benchmark tool to evaluate natural language-based network management using LLM-generated code.
Yatesbury: A Benchmark for East-West Network Security
This dataset serves as a benchmark for evaluting the performance and efficiency of anomaly detectors in east-west data center network traffic.