3 papers
cs.IR2026
Caesar: Deep Agentic Web Exploration for Creative Answer Synthesis
Jason Liang, Elliot Meyerson, Risto Miikkulainen
To advance from passive retrieval to creative discovery of new ideas, autonomous agents must be capable of deep, associative synthesis. However, current agentic frameworks prioriti…
cs.AR2024
DP-HLS: A High-Level Synthesis Framework for Accelerating Dynamic Programming Algorithms in Bioinformatics
Yingqi Cao, Anshu Gupta, Jason Liang +1
Dynamic programming (DP) based algorithms are essential yet compute-intensive parts of numerous bioinformatics pipelines, which typically involve populating a 2-D scoring matrix ba…
cs.CL2024
Narrative Analysis of True Crime Podcasts With Knowledge Graph-Augmented Large Language Models
Xinyi Leng, Jason Liang, Jack Mauro +8
Narrative data spans all disciplines and provides a coherent model of the world to the reader or viewer. Recent advancement in machine learning and Large Language Models (LLMs) hav…