Search Results for author: Chenxi Whitehouse

Found 9 papers, 3 papers with code

Towards Knowledge-Grounded Natural Language Understanding and Generation

no code implementations22 Mar 2024 Chenxi Whitehouse

This thesis investigates how natural language understanding and generation with transformer models can benefit from grounding the models with knowledge representations and addresses the following key research questions: (i) Can knowledge of entities extend its benefits beyond entity-centric tasks, such as entity linking?

Entity Linking Fake News Detection +2

Multitask Multilingual Model Adaptation with Featurized Low-Rank Mixtures

no code implementations27 Feb 2024 Chu-Cheng Lin, Xinyi Wang, Jonathan H. Clark, Han Lu, Yun Zhu, Chenxi Whitehouse, Hongkun Yu

By composing feature-specific parameters for each dataset, FLix can accommodate diverse dataset mixtures and generalize better to unseen datasets.

Parameter-Efficient Multilingual Summarisation: An Empirical Study

no code implementations14 Nov 2023 Chenxi Whitehouse, Fantine Huot, Jasmijn Bastings, Mostafa Dehghani, Chu-Cheng Lin, Mirella Lapata

With the increasing prevalence of Large Language Models, traditional full fine-tuning approaches face growing challenges, especially in memory-intensive tasks.

Cross-Lingual Transfer

WebIE: Faithful and Robust Information Extraction on the Web

no code implementations23 May 2023 Chenxi Whitehouse, Clara Vania, Alham Fikri Aji, Christos Christodoulopoulos, Andrea Pierleoni

We evaluate the in-domain, out-of-domain, and zero-shot cross-lingual performance of generative IE models and find models trained on WebIE show better generalisability.

Entity Linking

LLM-powered Data Augmentation for Enhanced Cross-lingual Performance

1 code implementation23 May 2023 Chenxi Whitehouse, Monojit Choudhury, Alham Fikri Aji

This paper explores the potential of leveraging Large Language Models (LLMs) for data augmentation in multilingual commonsense reasoning datasets where the available training data is extremely limited.

Data Augmentation

Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering

no code implementations25 Jan 2023 Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha

The field of visual question answering (VQA) has recently seen a surge in research focused on providing explanations for predicted answers.

Explanation Generation Question Answering +1

EntityCS: Improving Zero-Shot Cross-lingual Transfer with Entity-Centric Code Switching

no code implementations22 Oct 2022 Chenxi Whitehouse, Fenia Christopoulou, Ignacio Iacobacci

We use Wikidata and English Wikipedia to construct an entity-centric CS corpus by switching entities to their counterparts in other languages.

Data Augmentation Retrieval +3

Evaluation of Fake News Detection with Knowledge-Enhanced Language Models

1 code implementation1 Apr 2022 Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha, Nikos Komninos

The predominant state-of-the-art approaches are based on fine-tuning PLMs on labelled fake news datasets.

Fake News Detection

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