120 citations · 469 across the 55 of their papers we have counts for
11 papers · 1 filter
Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models
Lovish Madaan, David Esiobu, Pontus Stenetorp +2
In the recent past, a popular way of evaluating natural language understanding (NLU), was to consider a model's ability to perform natural language inference (NLI) tasks. In this p…
Multilingual Pretraining Using a Large Corpus Machine-Translated from a Single Source Language
Jiayi Wang, Yao Lu, Maurice Weber +4
English, as a very high-resource language, enables the pretraining of high-quality large language models (LLMs). The same cannot be said for most other languages, as leading LLMs s…
Jet Expansions of Residual Computation
Yihong Chen, Xiangxiang Xu, Yao Lu +2
We introduce a framework for expanding residual computational graphs using jets, operators that generalize truncated Taylor series. Our method provides a systematic approach to dis…
Linguini: A benchmark for language-agnostic linguistic reasoning
Eduardo Sánchez, Belen Alastruey, Christophe Ropers +3
We propose a new benchmark to measure a language model's linguistic reasoning skills without relying on pre-existing language-specific knowledge. The test covers 894 questions grou…
Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models
Kenza Benkirane, Laura Gongas, Shahar Pelles +5
Recent advancements in massively multilingual machine translation systems have significantly enhanced translation accuracy; however, even the best performing systems still generate…
Quantifying Generative Media Bias with a Corpus of Real-world and Generated News Articles
Filip Trhlik, Pontus Stenetorp
Large language models (LLMs) are increasingly being utilised across a range of tasks and domains, with a burgeoning interest in their application within the field of journalism. Th…