Papers
IIITDWD_SVC@DravidianLangTech-2024: Breaking Language Barriers; Hate Speech Detection in Telugu-English Code-Mixed Text
Chava Sai, Rangoori Kumar, Sunil Saumya et al.
IIITDWD-zk@DravidianLangTech-2024: Leveraging the Power of Language Models for Hate Speech Detection in Telugu-English Code-Mixed Text
Zuhair Hasan Shaik, Sai Kartheek Reddy Kasu, Sunil Saumya et al.
Importance-Aware Data Augmentation for Document-Level Neural Machine Translation
Minghao Wu, Yufei Wang, George Foster et al.
Improving Acoustic Word Embeddings through Correspondence Training of Self-supervised Speech Representations
Amit Meghanani, Thomas Hain
Improving Backchannel Prediction Leveraging Sequential and Attentive Context Awareness
Yo-Han Park, Wencke Liermann, Yong-Seok Choi et al.
Improving Cross-Domain Low-Resource Text Generation through LLM Post-Editing: A Programmer-Interpreter Approach
Zhuang Li, Levon Haroutunian, Raj Tumuluri et al.
Improving Dialog Safety using Socially Aware Contrastive Learning
Souvik Das, Rohini K. Srihari
Improving Generalization in Semantic Parsing by Increasing Natural Language Variation
Irina Saparina, Mirella Lapata
Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback
Nikhil Mehta, Milagro Teruel, Xin Deng et al.
Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary Tasks
Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras
Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders
Yingji Zhang, Danilo Carvalho, Marco Valentino et al.
Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis
Zongxia Li, Andrew Mao, Daniel Stephens et al.
Inconsistent dialogue responses and how to recover from them
Mian Zhang, Lifeng Jin, Linfeng Song et al.
In-Contextual Gender Bias Suppression for Large Language Models
Daisuke Oba, Masahiro Kaneko, Danushka Bollegala
IndiFoodVQA: Advancing Visual Question Answering and Reasoning with a Knowledge-Infused Synthetic Data Generation Pipeline
Pulkit Agarwal, Settaluri Sravanthi, Pushpak Bhattacharyya
IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators
Luyang Lin, Lingzhi Wang, Xiaoyan Zhao et al.
Injecting Wiktionary to improve token-level contextual representations using contrastive learning
Anna Mosolova, Marie Candito, Carlos Ramisch
InnovationEngineers@DravidianLangTech-EACL 2024: Sentimental Analysis of YouTube Comments in Tamil by using Machine Learning
Kogilavani Shanmugavadivel, Malliga Subramanian, Palanimurugan V et al.
InstructEval: Towards Holistic Evaluation of Instruction-Tuned Large Language Models
Yew Ken Chia, Pengfei Hong, Lidong Bing et al.
Integrating Supervised Extractive and Generative Language Models for Suicide Risk Evidence Summarization
Rika Tanaka, Yusuke Fukazawa
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?
Joris Baan, Raquel Fernández, Barbara Plank et al.
Investigating Agency of LLMs in Human-AI Collaboration Tasks
Ashish Sharma, Sudha Rao, Chris Brockett et al.
Investigating Content Planning for Navigating Trade-offs in Knowledge-Grounded Dialogue
Kushal Chawla, Hannah Rashkin, Gaurav Singh Tomar et al.