activity
20222026
most citedAccelerating the Inference of the Exa.TrkX Pipeline

15 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Can Agent Memory Systems Track Evolving State?

Xinyi Fan, Miri Liu, Ruozhen Yang +2

As LLM-based agents are deployed for longer and higher-stakes tasks, their memory systems continue to have crucial gaps. While existing memory benchmarks focus largely on recall-sh…

cs.AI2026

An Axiomatic Benchmark for Evaluation of Scientific Novelty Metrics

Miri Liu, ChengXiang Zhai

The rigorous evaluation of the novelty of a scientific paper is, even for human scientists, a challenging task. With the increasing interest in AI scientists, it is becoming more a…

cs.CL2025

Rethinking Creativity Evaluation: A Critical Analysis of Existing Creativity Evaluations

Li-Chun Lu, Miri Liu, Pin-Chun Lu +3

We examine, analyze, and compare four representative creativity measures--perplexity, LLM-as-a-Judge, the Creativity Index (CI; measuring n-gram overlap with web corpora), and synt…

cs.CL2024★ 5 cited

Are Large Language Models Capable of Generating Human-Level Narratives?

Yufei Tian, Tenghao Huang, Miri Liu +5

This paper investigates the capability of LLMs in storytelling, focusing on narrative development and plot progression. We introduce a novel computational framework to analyze narr…

physics.ins-det2022★ 15 cited

Accelerating the Inference of the Exa.TrkX Pipeline

Alina Lazar, Xiangyang Ju, Daniel Murnane +21

Recently, graph neural networks (GNNs) have been successfully used for a variety of particle reconstruction problems in high energy physics, including particle tracking. The Exa.Tr…