activity
20222025
most citedSearch for neutral long-lived particles that decay into displaced jets in the ATLAS calorimeter in association with leptons or jets using collisions at TeV

7 citations · 24 across the 9 of their papers we have counts for

collaborators

6 papers

hep-ex2025

Study of Central Exclusive Production of , and Pairs in Proton-Proton Collisions at GeV with the STAR Detector at RHIC

STAR Collaboration, B. E. Aboona, J. Adam +378

We report on the first measurement of the Central Exclusive Production process in proton-proton collisions: (where ) at the center-of-…

astro-ph.HE2025★ 2 cited

First detection of ultra-high energy emission from gamma-ray binary LS I +61 303

Zhen Cao, F. Aharonian, Y. X. Bai +320

We report the first detection of gamma-ray emission up to ultra-high-energy (UHE; 100 TeV) emission from the prototypical gamma-ray binary system LS I +61 303 using data from th…

hep-ex2025

Measurement of the transition form factor through decay

BESIII Collaboration, M. Ablikim, M. N. Achasov +678

Based on a sample of events collected at BESIII, the transition form factor of the meson is extracted by analyzing $J/ψ\toγη',~η'\toπ^+π^…

cs.CL2025★ 6 cited

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs

Songyang Liu, Chaozhuo Li, Jiameng Qiu +5

With the rapid advancement of artificial intelligence, Large Language Models (LLMs) have shown remarkable capabilities in Natural Language Processing (NLP), including content gener…

hep-ex2024★ 7 cited

Search for neutral long-lived particles that decay into displaced jets in the ATLAS calorimeter in association with leptons or jets using collisions at TeV

ATLAS Collaboration

A search for neutral long-lived particles (LLPs) decaying in the ATLAS hadronic calorimeter using 140 fb of proton-proton collisions at TeV delivered by the LH…

cs.LG2022

Provable Robust Saliency-based Explanations

Chao Chen, Chenghua Guo, Rufeng Chen +5

To foster trust in machine learning models, explanations must be faithful and stable for consistent insights. Existing relevant works rely on the distance for stability as…