Papers
ConMeC: A Dataset for Metonymy Resolution with Common Nouns
Saptarshi Ghosh, Tianyu Jiang
ConQRet: A New Benchmark for Fine-Grained Automatic Evaluation of Retrieval Augmented Computational Argumentation
Kaustubh Dhole, Kai Shu, Eugene Agichtein
ConQuer: A Framework for Concept-Based Quiz Generation
Yicheng Fu, Zikui Wang, Liuxin Yang et al.
ConShift: Sense-based Language Variation Analysis using Flexible Alignment
Clare Arrington, Mauricio Gruppi, Sibel Adali
Considering Length Diversity in Retrieval-Augmented Summarization
Juseon-Do, Jaesung Hwang, Jingun Kwon et al.
Constrained Decoding with Speculative Lookaheads
Nishanth Sridhar Nakshatri, Shamik Roy, Rajarshi Das et al.
Constraining Sequential Model Editing with Editing Anchor Compression
Hao-Xiang Xu, Jun-Yu Ma, Zhen-Hua Ling et al.
Constructing Multimodal Datasets from Scratch for Rapid Development of a Japanese Visual Language Model
Keito Sasagawa, Koki Maeda, Issa Sugiura et al.
Context-Efficient Retrieval with Factual Decomposition
Yanhong Li, David Yunis, David McAllester et al.
Contextual Metric Meta-Evaluation by Measuring Local Metric Accuracy
Athiya Deviyani, Fernando Diaz
Continual Learning in Multilingual Sign Language Translation
Shakib Yazdani, Josef Van Genabith, Cristina España-Bonet
Continuous Speech Tokenizer in Text To Speech
Yixing Li, Ruobing Xie, Xingwu Sun et al.
CoPERLex: Content Planning with Event-based Representations for Legal Case Summarization
Santosh T.y.s.s, Youssef Farag, Matthias Grabmair
CoRAC: Integrating Selective API Document Retrieval with Question Semantic Intent for Code Question Answering
YunSeok Choi, CheolWon Na, Jee-Hyong Lee
CoRAG: Collaborative Retrieval-Augmented Generation
Aashiq Muhamed, Mona T. Diab, Virginia Smith
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmented Generation
Yiruo Cheng, Kelong Mao, Ziliang Zhao et al.
CORD: Balancing COnsistency and Rank Distillation for Robust Retrieval-Augmented Generation
Youngwon Lee, Seung-won Hwang, Daniel F Campos et al.
CoreFour_IIITK@DravidianLangTech 2025: Abusive Content Detection Against Women Using Machine Learning And Deep Learning Models
Varun Balaji S, Bojja Revanth Reddy, Vyshnavi Reddy Battula et al.
CORG: Generating Answers from Complex, Interrelated Contexts
Hyunji Lee, Franck Dernoncourt, Trung Bui et al.
CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking
Delvin Ce Zhang, Dongwon Lee
Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment
Sangwon Yu, Jongyoon Song, Bongkyu Hwang et al.
Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models
Mario Sanz-Guerrero, Katharina Von Der Wense
COVE: COntext and VEracity prediction for out-of-context images
Jonathan Tonglet, Gabriel Thiem, Iryna Gurevych