4 citations · 7 across the 14 of their papers we have counts for
8 papers · 1 filter
Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey
Liang Chen, Zekun Wang, Shuhuai Ren +24
Building on the foundations of language modeling in natural language processing, Next Token Prediction (NTP) has evolved into a versatile training objective for machine learning ta…
A Bayesian Optimization Approach to Machine Translation Reranking
Julius Cheng, Maike Züfle, Vilém Zouhar +1
Reranking a list of candidates from a machine translation system with an external scoring model and returning the highest-scoring candidate remains a simple and effective method fo…
Conformity in Large Language Models
Xiaochen Zhu, Caiqi Zhang, Tom Stafford +2
The conformity effect describes the tendency of individuals to align their responses with the majority. Studying this bias in large language models (LLMs) is crucial, as LLMs are i…
Causal Estimation of Memorisation Profiles
Pietro Lesci, Clara Meister, Thomas Hofmann +2
Understanding memorisation in language models has practical and societal implications, e.g., studying models' training dynamics or preventing copyright infringements. Prior work de…
An LLM Feature-based Framework for Dialogue Constructiveness Assessment
Lexin Zhou, Youmna Farag, Andreas Vlachos
Research on dialogue constructiveness assessment focuses on (i) analysing conversational factors that influence individuals to take specific actions, win debates, change their pers…
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets
Pietro Lesci, Andreas Vlachos
Active learning for imbalanced classification tasks is challenging as the minority classes naturally occur rarely. Gathering a large pool of unlabelled data is thus essential to ca…
The effect of diversity on group decision-making
Georgi Karadzhov, Andreas Vlachos, Tom Stafford
We explore different aspects of cognitive diversity and its effect on the success of group deliberation. To evaluate this, we use 500 dialogues from small, online groups discussing…
Do We Need Language-Specific Fact-Checking Models? The Case of Chinese
Caiqi Zhang, Zhijiang Guo, Andreas Vlachos
This paper investigates the potential benefits of language-specific fact-checking models, focusing on the case of Chinese. We first demonstrate the limitations of translation-based…