10 citations · 33 across the 39 of their papers we have counts for
5 papers · 1 filter
Does Every Instance Count Equally? Order Effects in LLM Multi-Instance Processing
Jingxuan Chen, Mohammad Taher Pilehvar, Jose Camacho-Collados
Users increasingly rely on large language models (LLMs) to analyse collections of independent inputs, such as product reviews or social media posts, and return a single aggregated…
Cubic Quasinormal Modes in the Black-Hole Ringdown
Neev Khera, Huan Yang
We formulate and numerically solve the nonlinear Teukolsky equations through third order, obtaining a first-principles calculation of cubic quasinormal-mode amplitudes for Kerr bla…
WiC is Not WSD: A Study on LLMs and Lexical Ambiguity Resolution
Yi Zhou, Kiamehr Rezaee, Danushka Bollegala +2
Word-in-Context (WiC) remains challenging for language models, despite recent progress on lexical-semantic tasks. We hypothesise that this difficulty arises not only from comparing…
CLIN: an Objective Framework for Evaluating Creativity in Short Persian Literary Text
Mohammad Reza Modarres, Armin Tourajmehr, Yadollah Yaghoobzadeh +1
Evaluating creativity in large language model (LLM) outputs remains challenging because creativity is multidimensional and human-centered. We examine how reliably LLMs evaluate sho…
Understanding LLM Performance Degradation in Multi-Instance Processing: The Roles of Instance Count and Context Length
Jingxuan Chen, Mohammad Taher Pilehvar, Jose Camacho-Collados
Users often rely on Large Language Models (LLMs) for processing multiple documents or performing analysis over a number of instances. For example, analysing the overall sentiment o…