Papers
Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models
Albert Xu, Xiang Ren, Robin Jia
Contrastive Token-Wise Meta-Learning for Unseen Performer Visual Temporal-Aligned Translation
Linjun Li, Tao Jin, Xize Cheng et al.
Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents
Muhammad Khalifa, Yogarshi Vyas, Shuai Wang et al.
Controllable Conversation Generation with Conversation Structures via Diffusion Models
Jiaao Chen, Diyi Yang
Controllable Mixed-Initiative Dialogue Generation through Prompting
Maximillian Chen, Xiao Yu, Weiyan Shi et al.
Controllable Text Generation via Probability Density Estimation in the Latent Space
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma et al.
Controlled Text Generation with Hidden Representation Transformations
Vaibhav Kumar, Hana Koorehdavoudi, Masud Moshtaghi et al.
Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers
Parikshit Bansal, Amit Sharma
Controlling Styles in Neural Machine Translation with Activation Prompt
Yifan Wang, Zewei Sun, Shanbo Cheng et al.
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning
Mustafa Ozdayi, Charith Peris, Jack FitzGerald et al.
Converge at WASSA 2023 Empathy, Emotion and Personality Shared Task: A Transformer-based Approach for Multi-Label Emotion Classification
Aditya Paranjape, Gaurav Kolhatkar, Yash Patwardhan et al.
Convergence and Diversity in the Control Hierarchy
Alexandra Butoi, Ryan Cotterell, David Chiang
Conversational Recommendation as Retrieval: A Simple, Strong Baseline
Raghav Gupta, Renat Aksitov, Samrat Phatale et al.
Conversation Derailment Forecasting with Graph Convolutional Networks
Enas Altarawneh, Ameeta Agrawal, Michael Jenkin et al.
ConvGQR: Generative Query Reformulation for Conversational Search
Fengran Mo, Kelong Mao, Yutao Zhu et al.
ConvRGX: Recognition, Generation, and Extraction for Self-trained Conversational Question Answering
Tianhua Zhang, Liping Tang, Wei Fang et al.
CORE: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection
Chongyang Tao, Jiazhan Feng, Tao Shen et al.
Corpus-Based Task-Specific Relation Discovery
Karthik Ramanan
Correcting Semantic Parses with Natural Language through Dynamic Schema Encoding
Parker Glenn, Parag Pravin Dakle, Preethi Raghavan
Correction of Errors in Preference Ratings from Automated Metrics for Text Generation
Jan Deriu, Pius von Däniken, Don Tuggener et al.
CoRRPUS: Code-based Structured Prompting for Neurosymbolic Story Understanding
Yijiang River Dong, Lara J. Martin, Chris Callison-Burch
CoSiNES: Contrastive Siamese Network for Entity Standardization
Jiaqing Yuan, Michele Merler, Mihir Choudhury et al.
Cost-effective Distillation of Large Language Models
Sayantan Dasgupta, Trevor Cohn, Timothy Baldwin
Counterfactual Active Learning for Out-of-Distribution Generalization
Xun Deng, Wenjie Wang, Fuli Feng et al.
Counterfactual Debiasing for Fact Verification
Weizhi Xu, Qiang Liu, Shu Wu et al.