Papers
I Have an Attention Bridge to Sell You: Generalization Capabilities of Modular Translation Architectures
Timothee Mickus, Raul Vazquez, Joseph Attieh
IIMAS at SemEval-2024 Task 9: A Comparative Approach for Brainteaser Solutions
Cecilia Reyes, Orlando Ramos-flores, Diego Martínez-maqueda
iimasNLP at SemEval-2024 Task 8: Unveiling structure-aware language models for automatic generated text identification
Andric Valdez, Fernando Márquez, Jorge Pantaleón et al.
IITK at SemEval-2024 Task 10: Who is the speaker? Improving Emotion Recognition and Flip Reasoning in Conversations via Speaker Embeddings
Shubham Patel, Divyaksh Shukla, Ashutosh Modi
IITK at SemEval-2024 Task 1: Contrastive Learning and Autoencoders for Semantic Textual Relatedness in Multilingual Texts
Udvas Basak, Rajarshi Dutta, Shivam Pandey et al.
IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in Memes
Shreenaga Chikoti, Shrey Mehta, Ashutosh Modi
IKIM at MEDIQA-M3G 2024: Multilingual Visual Question-Answering for Dermatology through VLM Fine-tuning and LLM Translations
Marie Bauer, Constantin Seibold, Jens Kleesiek et al.
Imaginary Numbers! Evaluating Numerical Referring Expressions by Neural End-to-End Surface Realization Systems
Rossana Cunha, Osuji Chinonso, João Campos et al.
iML at SemEval-2024 Task 2: Safe Biomedical Natural Language Interference for Clinical Trials with LLM Based Ensemble Inferencing
Abbas Akkasi, Adnan Khan, Mai A. Shaaban et al.
Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model
Jaehun Jung, Peter West, Liwei Jiang et al.
Improved Text Emotion Prediction Using Combined Valence and Arousal Ordinal Classification
Michail Mitsios, Georgios Vamvoukakis, Georgia Maniati et al.
Improving Absent Keyphrase Generation with Diversity Heads
Edwin Thomas, Sowmya Vajjala
Improving Adversarial Data Collection by Supporting Annotators: Lessons from GAHD, a German Hate Speech Dataset
Janis Goldzycher, Paul Röttger, Gerold Schneider
Improving aggressiveness detection using a data augmentation technique based on a Diffusion Language Model
Antonio D. Reyes-Ramírez, Mario Ezra Aragón, Fernando Sánchez-Vega et al.
Improving Automated Distractor Generation for Math Multiple-choice Questions with Overgenerate-and-rank
Alexander Scarlatos, Wanyong Feng, Digory Smith et al.
Improving Covert Toxicity Detection by Retrieving and Generating References
Dong-Ho Lee, Hyundong Cho, Woojeong Jin et al.
Improving Factual Accuracy of Neural Table-to-Text Output by Addressing Input Problems in ToTTo
Barkavi Sundararajan, Yaji Sripada, Ehud Reiter
Improving Factuality in Clinical Abstractive Multi-Document Summarization by Guided Continued Pre-training
Ahmed Elhady, Khaled Elsayed, Eneko Agirre et al.
Improving Health Question Answering with Reliable and Time-Aware Evidence Retrieval
Juraj Vladika, Florian Matthes
Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment
Chong Li, Shaonan Wang, Jiajun Zhang et al.
Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model
Zhiwei He, Xing Wang, Wenxiang Jiao et al.
Improving Multi-Label Classification of Similar Languages by Semantics-Aware Word Embeddings
The Ngo, Thi Anh Nguyen, My Ha et al.
Improving Multi-lingual Alignment Through Soft Contrastive Learning
Minsu Park, Seyeon Choi, Chanyeol Choi et al.
Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NER
Micheal Abaho, Danushka Bollegala, Gary Leeming et al.