Papers
Code-Switching Metrics Using Intonation Units
Rebecca Pattichis, Dora LaCasse, Sonya Trawick et al.
Code-Switching with Word Senses for Pretraining in Neural Machine Translation
Vivek Iyer, Edoardo Barba, Alexandra Birch et al.
CodeT5+: Open Code Large Language Models for Code Understanding and Generation
Yue Wang, Hung Le, Akhilesh Gotmare et al.
CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation
Weixiang Yan, Yuchen Tian, Yunzhe Li et al.
CoEdIT: Text Editing by Task-Specific Instruction Tuning
Vipul Raheja, Dhruv Kumar, Ryan Koo et al.
Co-evolving data-driven and NLU-driven Synthesizers for Generating Code in Domain Growth and Data Scarcity
Jiasheng Gu, Zifan Nan, Zhiyuan Peng et al.
CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks
Hoang Nguyen, Ye Liu, Chenwei Zhang et al.
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation
Nan Wang, Qifan Wang, Yi-Chia Wang et al.
Cognate Transformer for Automated Phonological Reconstruction and Cognate Reflex Prediction
V.S.D.S.Mahesh Akavarapu, Arnab Bhattacharya
Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness?
Kevin Liu, Stephen Casper, Dylan Hadfield-Menell et al.
Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency
Zilin Xiao, Linjun Shou, Xingyao Zhang et al.
COHESENTIA: A Novel Benchmark of Incremental versus Holistic Assessment of Coherence in Generated Texts
Aviya Maimon, Reut Tsarfaty
Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation
Wanrong Zhu, Xinyi Wang, Yujie Lu et al.
CoLLiE: Collaborative Training of Large Language Models in an Efficient Way
Kai Lv, Shuo Zhang, Tianle Gu et al.
CoLT5: Faster Long-Range Transformers with Conditional Computation
Joshua Ainslie, Tao Lei, Michiel de Jong et al.
Combining Counting Processes and Classification Improves a Stopping Rule for Technology Assisted Review
Reem Bin-Hezam, Mark Stevenson
Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models
Alejo Lopez-Avila, Víctor Suárez-Paniagua
CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models
Aitor Ormazabal, Mikel Artetxe, Eneko Agirre
COMET-M: Reasoning about Multiple Events in Complex Sentences
Sahithya Ravi, Raymond Ng, Vered Shwartz
Cometoid: Distilling Strong Reference-based Machine Translation Metrics into Even Stronger Quality Estimation Metrics
Thamme Gowda, Tom Kocmi, Marcin Junczys-Dowmunt
Comparing Biases and the Impact of Multilingual Training across Multiple Languages
Sharon Levy, Neha John, Ling Liu et al.
Comparing Prompt-Based and Standard Fine-Tuning for Urdu Text Classification
Faizad Ullah, Ubaid Azam, Ali Faheem et al.
Comparing Styles across Languages
Shreya Havaldar, Matthew Pressimone, Eric Wong et al.
Comparing the Evaluation and Production of Loophole Behavior in Humans and Large Language Models
Sonia Murthy, Kiera Parece, Sophie Bridgers et al.
Complementary Roles of Inference and Language Models in QA
Liang Cheng, Mohammad Javad Hosseini, Mark Steedman