Papers
Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention Gate
Byung Hyun Lee, Sungjin Lim, Seunggyu Lee et al.
ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning
Ruchika Chavhan, Da Li, Timothy Hospedales
Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization
Lingyun Zhang, Yu Xie, Yanwei Fu et al.
Concept-Reversed Winograd Schema Challenge: Evaluating and Improving Robust Reasoning in Large Language Models via Abstraction
Kaiqiao Han, Tianqing Fang, Zhaowei Wang et al.
Concept-ROT: Poisoning Concepts in Large Language Models with Model Editing
Keltin Grimes, Marco Christiani, David Shriver et al.
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)
Kartik Singhal, Gautam Shroff
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) (Student Abstract)
Kartik Singhal, Gautam Shroff
ConceptSplit: Decoupled Multi-Concept Personalization of Diffusion Models via Token-wise Adaptation and Attention Disentanglement
Habin Lim, Yeongseob Won, Juwon Seo et al.
Conceptual Diagnostics for Knowledge Graphs and Large Language Models
Rosario Uceda Sosa, Maria Chang, Karthikeyan Natesan Ramamurthy et al.
Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency
Maor Dikter, Tsachi Blau, Chaim Baskin
Concise and Organized Perception Facilitates Reasoning in Large Language Models
Junjie Liu, Shaotian Yan, Chen Shen et al.
ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning
Ziqing Qiao, Yongheng Deng, Jiali Zeng et al.
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
Razvan-Gabriel Dumitru, Darius Peteleaza, Vikas Yadav et al.
ConCodeEval: Evaluating Large Language Models for Code Constraints in Domain-Specific Languages
Mehant Kammakomati, Sameer Pimparkhede, Srikanth G. Tamilselvam et al.
ConcreTizer: Model Inversion Attack via Occupancy Classification and Dispersion Control for 3D Point Cloud Restoration
Youngseok Kim, Sunwook Hwang, Hyung-Sin Kim et al.
Concurrent Planning and Execution in Lifelong Multi-Agent Path Finding with Delay Probabilities
Yue Zhang, Zhe Chen, Daniel Harabor et al.
Concurrent Planning and Execution Using Dispatch-Dependent Values
Andrew Coles, Erez Karpas, Eyal Shimony et al.
CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts
Jihye Choi, Jayaram Raghuram, Yixuan Li et al.
CondAmbigQA: A Benchmark and Dataset for Conditional Ambiguous Question Answering
Zongxi Li, Yang Li, Haoran Xie et al.
CondenseLM: LLMs-driven Text Dataset Condensation via Reward Matching
Cheng Shen, Yew-Soon Ong, Joey Tianyi Zhou
Condensing Action Segmentation Datasets via Generative Network Inversion
Guodong Ding, Rongyu Chen, Angela Yao
ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain Generalizatio
Aleksandr Matsun, Numan Saeed, Fadillah Adamsyah Maani et al.
Conditional Balance: Improving Multi-Conditioning Trade-Offs in Image Generation
Nadav Z. Cohen, Oron Nir, Ariel Shamir
Conditional Causal Representation Learning for Heterogeneous Single-cell RNA Data Integration and Prediction
Jiayi Dong, Jiahao Li, Fei Wang
Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting
Jintao Zhang, Mingyue Cheng, Xiaoyu Tao et al.