Papers
Comparing Tools for Sentiment Analysis of Danish Literature from Hymns to Fairy Tales: Low-Resource Language and Domain Challenges
Pascale Feldkamp, Jan Kostkan, Ea Lindhardt Overgaard et al.
Competition-Level Problems are Effective LLM Evaluators
Yiming Huang, Zhenghao Lin, Xiao Liu et al.
Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals
Francesco Ortu, Zhijing Jin, Diego Doimo et al.
Complex Logical Query Answering by Calibrating Knowledge Graph Completion Models
Changyi Xiao, Yixin Cao
Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs
Tianqing Fang, Zeming Chen, Yangqiu Song et al.
Compositional Generalization with Grounded Language Models
Sondre Wold, Étienne Simon, Lucas Charpentier et al.
Comprehensive Abstractive Comment Summarization with Dynamic Clustering and Chain of Thought
Longyin Zhang, Bowei Zou, Jacintha Yi et al.
Compromesso! Italian Many-Shot Jailbreaks undermine the safety of Large Language Models
Fabio Pernisi, Dirk Hovy, Paul Röttger
Computational Expressivity of Neural Language Models
Alexandra Butoi, Robin Chan, Ryan Cotterell et al.
Computational Language Documentation: Designing a Modular Annotation and Data Management Tool for Cross-cultural Applicability
Alexandra O’Neil, Daniel Swanson, Shobhana Chelliah
Computational Linguistics for Brain Encoding and Decoding: Principles, Practices and Beyond
Jingyuan Sun, Shaonan Wang, Zijiao Chen et al.
Computational Modelling of Undercuts in Real-world Arguments
Yuxiao Ye, Simone Teufel
Concept-aware Data Construction Improves In-context Learning of Language Models
Michal Štefánik, Marek Kadlčík, Petr Sojka
Concept-Best-Matching: Evaluating Compositionality In Emergent Communication
Boaz Carmeli, Yonatan Belinkov, Ron Meir
ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models
Yanan Wu, Jie Liu, Xingyuan Bu et al.
Concise and Precise Context Compression for Tool-Using Language Models
Yang Xu, Yunlong Feng, Honglin Mu et al.
Conditioning LLMs with Emotion in Neural Machine Translation
Charles Brazier, Jean-Luc Rouas
Confabulation: The Surprising Value of Large Language Model Hallucinations
Peiqi Sui, Eamon Duede, Sophie Wu et al.
Confidence is not Timeless: Modeling Temporal Validity for Rule-based Temporal Knowledge Graph Forecasting
Rikui Huang, Wei Wei, Xiaoye Qu et al.
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models
Abhishek Kumar, Robert Morabito, Sanzhar Umbet et al.
Conformity, Confabulation, and Impersonation: Persona Inconstancy in Multi-Agent LLM Collaboration
Razan Baltaji, Babak Hemmatian, Lav Varshney
Confounders in Instance Variation for the Analysis of Data Contamination
Behzad Mehrbakhsh, Dario Garigliotti, Fernando Martínez-Plumed et al.
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings
William Brannon, Wonjune Kang, Suyash Fulay et al.
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models
Aparna Elangovan, Ling Liu, Lei Xu et al.
Consistency Training by Synthetic Question Generation for Conversational Question Answering
Hamed Hematian Hemati, Hamid Beigy