Papers
Beyond Tech@DravidianLangTech2024 : Fake News Detection in Dravidian Languages Using Machine Learning
Kogilavani Shanmugavadivel, Malliga Subramanian, Sanjai R et al.
Beyond the Surface: Spurious Cues in Automatic Media Bias Detection
Martin Wessel, Tomáš Horych
Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias
Nannan Huang, Haytham Fayek, Xiuzhen Zhang
Big City Bias: Evaluating the Impact of Metropolitan Size on Computational Job Market Abilities of Language Models
Charlie Campanella, Rob van der Goot
Binary_Beasts@DravidianLangTech-EACL 2024: Multimodal Abusive Language Detection in Tamil based on Integrated Approach of Machine Learning and Deep Learning Techniques
Md. Rahman, Abu Raihan, Tanzim Rahman et al.
BMX: Boosting Natural Language Generation Metrics with Explainability
Christoph Leiter, Hoa Nguyen, Steffen Eger
Bootstrap Your Own PLM: Boosting Semantic Features of PLMs for Unsuperivsed Contrastive Learning
Yoo Hyun Jeong, Myeong Soo Han, Dong-Kyu Chae
Bridging Cultural Nuances in Dialogue Agents through Cultural Value Surveys
Yong Cao, Min Chen, Daniel Hershcovich
Bridging the Language Gap: Integrating Language Variations into Conversational AI Agents for Enhanced User Engagement
Marcellus Amadeus, Jose Roberto Homeli da Silva, Joao Victor Pessoa Rocha
Bryndza at ClimateActivism 2024: Stance, Target and Hate Event Detection via Retrieval-Augmented GPT-4 and LLaMA
Marek Suppa, Daniel Skala, Daniela Jass et al.
Building a corpus for the anonymization of Romanian jurisprudence
Vasile Păiș, Dan Tufis, Elena Irimia et al.
byteLLM@LT-EDI-2024: Homophobia/Transphobia Detection in Social Media Comments - Custom Subword Tokenization with Subword2Vec and BiLSTM
Durga Prasad Manukonda, Rohith Gowtham Kodali
byteSizedLLM@DravidianLangTech 2024: Fake News Detection in Dravidian Languages - Unleashing the Power of Custom Subword Tokenization with Subword2Vec and BiLSTM
Rohith Gowtham Kodali, Durga Prasad Manukonda
Calibration-Tuning: Teaching Large Language Models to Know What They Don’t Know
Sanyam Kapoor, Nate Gruver, Manley Roberts et al.
Can docstring reformulation with an LLM improve code generation?
Nicola Dainese, Alexander Ilin, Pekka Marttinen
Can I trust You? LLMs as conversational agents
Marc Döbler, Raghavendran Mahendravarman, Anna Moskvina et al.
Can Large Language Models Reason About Goal-Oriented Tasks?
Filippos Bellos, Yayuan Li, Wuao Liu et al.
Can Large Language Models Understand Context?
Yilun Zhu, Joel Ruben Antony Moniz, Shruti Bhargava et al.
Can Stanza be Used for Part-of-Speech Tagging Historical Polish?
Maria Irena Szawerna
cantnlp@LT-EDI-2024: Automatic Detection of Anti-LGBTQ+ Hate Speech in Under-resourced Languages
Sidney Wong, Matthew Durward
Can we obtain significant success in RST discourse parsing by using Large Language Models?
Aru Maekawa, Tsutomu Hirao, Hidetaka Kamigaito et al.
Capturing the Relationship Between Sentence Triplets for LLM and Human-Generated Texts to Enhance Sentence Embeddings
Na Min An, Sania Waheed, James Thorne
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and Calibration
Rachneet Sachdeva, Martin Tutek, Iryna Gurevych
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification
Yang Li, Canran Xu, Guodong Long et al.
CEAN: Contrastive Event Aggregation Network with LLM-based Augmentation for Event Extraction
Zihao Meng, Tao Liu, Heng Zhang et al.