Papers
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.
Improving Readability Assessment with Ordinal Log-Loss
Ho Hung Lim, John Lee
Improving Repository-level Code Search with Text Conversion
Mizuki Kondo, Daisuke Kawahara, Toshiyuki Kurabayashi
Improving Socratic Question Generation using Data Augmentation and Preference Optimization
Nischal Ashok Kumar, Andrew Lan
Improving Toponym Resolution by Predicting Attributes to Constrain Geographical Ontology Entries
Zeyu Zhang, Egoitz Laparra, Steven Bethard
Improving Transfer Learning for Early Forecasting of Academic Performance by Contextualizing Language Models
Ahatsham Hayat, Bilal Khan, Mohammad Hasan
Improving Word Sense Induction through Adversarial Forgetting of Morphosyntactic Information
Deniz Ekin Yavas, Timothée Bernard, Laura Kallmeyer et al.
In-Context Example Ordering Guided by Label Distributions
Zhichao Xu, Daniel Cohen, Bei Wang et al.
In-context Learning and Gradient Descent Revisited
Gilad Deutch, Nadav Magar, Tomer Natan et al.
In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax
Aaron Mueller, Albert Webson, Jackson Petty et al.
Incorporating Dialect Understanding Into LLM Using RAG and Prompt Engineering Techniques for Causal Commonsense Reasoning
Benedikt Perak, Slobodan Beliga, Ana Meštrović
Incorporating Exponential Smoothing into MLP: a Simple but Effective Sequence Model
JiqunChu JiqunChu, Zuoquan Lin