Papers
GreyBox at SemEval-2024 Task 4: Progressive Fine-tuning (for Multilingual Detection of Propaganda Techniques)
Nathan Roll, Calbert Graham
Groningen Group E at SemEval-2024 Task 8: Detecting machine-generated texts through pre-trained language models augmented with explicit linguistic-stylistic features
Patrick Darwinkel, Sijbren Van Vaals, Marieke Van Der Holt et al.
Groningen Team A at SemEval-2024 Task 8: Human/Machine Authorship Attribution Using a Combination of Probabilistic and Linguistic Features
Huseyin Alecakir, Puja Chakraborty, Pontus Henningsson et al.
Groningen team D at SemEval-2024 Task 8: Exploring data generation and a combined model for fine-tuning LLMs for Multidomain Machine-Generated Text Detection
Thijs Brekhof, Xuanyi Liu, Joris Ruitenbeek et al.
Groningen Team F at SemEval-2024 Task 8: Detecting Machine-Generated Text using Feature-Based Machine Learning Models
Rina Donker, Björn Overbeek, Dennis Thulden et al.
Grounding Gaps in Language Model Generations
Omar Shaikh, Kristina Gligoric, Ashna Khetan et al.
Group Fairness in Multilingual Speech Recognition Models
Anna Zee, Marc Zee, Anders Søgaard
Guidelines for the Annotation of Deliberate Linguistic Metaphor
Stefanie Dipper, Adam Roussel, Alexandra Wiemann et al.
Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations
Dayeon Ki, Marine Carpuat
GuyLingo: The Republic of Guyana Creole Corpora
Christopher Clarke, Roland Daynauth, Jason Mars et al.
Hallucination Diversity-Aware Active Learning for Text Summarization
Yu Xia, Xu Liu, Tong Yu et al.
HalluSafe at SemEval-2024 Task 6: An NLI-based Approach to Make LLMs Safer by Better Detecting Hallucinations and Overgeneration Mistakes
Zahra Rahimi, Hamidreza Amirzadeh, Alireza Sohrabi et al.
Halu-NLP at SemEval-2024 Task 6: MetaCheckGPT - A Multi-task Hallucination Detection using LLM uncertainty and meta-models
Rahul Mehta, Andrew Hoblitzell, Jack O’keefe et al.
Handling Ontology Gaps in Semantic Parsing
Andrea Bacciu, Marco Damonte, Marco Basaldella et al.
HANS, are you clever? Clever Hans Effect Analysis of Neural Systems
Leonardo Ranaldi, Fabio Zanzotto
HaRMoNEE at SemEval-2024 Task 6: Tuning-based Approaches to Hallucination Recognition
Timothy Obiso, Jingxuan Tu, James Pustejovsky
Harnessing GPT to Study Second Language Learner Essays: Can We Use Perplexity to Determine Linguistic Competence?
Ricardo Muñoz Sánchez, Simon Dobnik, Elena Volodina
Harnessing Personalization Methods to Identify and Predict Unreliable Information Spreader Behavior
Shaina Ashraf, Fabio Gruschka, Lucie Flek et al.
Harnessing the Power of Multiple Minds: Lessons Learned from LLM Routing
Kv Aditya Srivatsa, Kaushal Maurya, Ekaterina Kochmar
HateModerate: Testing Hate Speech Detectors against Content Moderation Policies
Jiangrui Zheng, Xueqing Liu, Mirazul Haque et al.
HausaHate: An Expert Annotated Corpus for Hausa Hate Speech Detection
Francielle Vargas, Samuel Guimarães, Shamsuddeen Hassan Muhammad et al.
HausaNLP at SemEval-2024 Task 1: Textual Relatedness Analysis for Semantic Representation of Sentences
Saheed Abdullahi Salahudeen, Falalu Ibrahim Lawan, Yusuf Aliyu et al.
Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?
Kai Sun, Yifan Xu, Hanwen Zha et al.
HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM
Zhilin Wang, Yi Dong, Jiaqi Zeng et al.