Papers
CARD: Cross-modal Agent Framework for Generative and Editable Residential Design
Pengyu Zeng, Jun Yin, Miao Zhang et al.
Cardiverse: Harnessing LLMs for Novel Card Game Prototyping
Danrui Li, Sen Zhang, Samuel S. Sohn et al.
CARE: A Disagreement Detection Framework with Concept Alignment and Reasoning Enhancement
Jiyuan Liu, Jielin Song, Yunhe Pang et al.
CARE: Multilingual Human Preference Learning for Cultural Awareness
Geyang Guo, Tarek Naous, Hiromi Wakaki et al.
CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning
Wenqiao Zhu, Ji Liu, Rongjunchen Zhang et al.
CARMA: Enhanced Compositionality in LLMs via Advanced Regularisation and Mutual Information Alignment
Nura Aljaafari, Danilo Carvalho, Andre Freitas
CARVQ: Corrective Adaptor with Group Residual Vector Quantization for LLM Embedding Compression
Dayin Gou, Sanghyun Byun, Nilesh Malpeddi et al.
Case-Based Decision-Theoretic Decoding with Quality Memories
Hiroyuki Deguchi, Masaaki Nagata
cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree
Yilin Zhang, Xinran Zhao, Zora Zhiruo Wang et al.
Castle: Causal Cascade Updates in Relational Databases with Large Language Models
Yongye Su, Yucheng Zhang, Zeru Shi et al.
CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models
Kairong Han, Wenshuo Zhao, Ziyu Zhao et al.
CATCH: A Novel Data Synthesis Framework for High Therapy Fidelity and Memory-Driven Planning Chain of Thought in AI Counseling
Mingyu Chen, Jingkai Lin, Zhaojie Chu et al.
Catch Me If You Can? Not Yet: LLMs Still Struggle to Imitate the Implicit Writing Styles of Everyday Authors
Zhengxiang Wang, Nafis Irtiza Tripto, Solha Park et al.
Causal Interventions Reveal Shared Structure Across English Filler–Gap Constructions
Sasha Boguraev, Christopher Potts, Kyle Mahowald
Causal-LLM: A Unified One-Shot Framework for Prompt- and Data-Driven Causal Graph Discovery
Amartya Roy, N Devharish, Shreya Ganguly et al.
CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks
Qi Chai, Zhang Zheng, Junlong Ren et al.
Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness
Zihan Liang, Ziwen Pan, Ruoxuan Xiong
Causal Tree Extraction from Medical Case Reports: A Novel Task for Experts-like Text Comprehension
Sakiko Yahata, Zhen Wan, Fei Cheng et al.
Causal Understanding by LLMs: The Role of Uncertainty
Oscar William Lithgow-Serrano, Vani Kanjirangat, Alessandro Antonucci
CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models
Aneesh Komanduri, Karuna Bhaila, Xintao Wu
CAVE : Detecting and Explaining Commonsense Anomalies in Visual Environments
Rishika Bhagwatkar, Syrielle Montariol, Angelika Romanou et al.
CBP-Tuning: Efficient Local Customization for Black-box Large Language Models
Jiaxuan Zhao, Naibin Gu, Yuchen Feng et al.
CCG: Rare-Label Prediction via Neural SEM–Driven Causal Game
Yijia Fan, Jusheng Zhang, Kaitong Cai et al.
CCL-XCoT: An Efficient Cross-Lingual Knowledge Transfer Method for Mitigating Hallucination Generation
Zheng Weihua, Roy Ka-Wei Lee, Zhengyuan Liu et al.