Papers
CoTFormer: A Chain of Thought Driven Architecture with Budget-Adaptive Computation Cost at Inference
Amirkeivan Mohtashami, Matteo Pagliardini, Martin Jaggi
CoT-ICL Lab: A Synthetic Framework for Studying Chain-of-Thought Learning from In-Context Demonstrations
Vignesh Kothapalli, Hamed Firooz, Maziar Sanjabi
CoTMR: Chain-of-Thought Multi-Scale Reasoning for Training-Free Zero-Shot Composed Image Retrieval
Zelong Sun, Dong Jing, Zhiwu Lu
CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos
Nikita Karaev, Yuri Makarov, Jianyuan Wang et al.
CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models
Feiyang Li, Peng Fang, Zhan Shi et al.
CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought
Boxuan Zhang, Ruqi Zhang
CoT-Valve: Length-Compressible Chain-of-Thought Tuning
Xinyin Ma, Guangnian Wan, Runpeng Yu et al.
CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models
Qingqing Zhao, Yao Lu, Moo Jin Kim et al.
CoT-VTM: Visual-to-Music Generation with Chain-of-Thought Reasoning
Xikang Guan, Zheng Gu, Jing Huo et al.
CoU-CU-DSG at BLP-2025 Task 1: Leveraging Weighted Probabilistic Fusion of Language Models for Bangla Hate Speech Detection
Ashraful Alam, Abdul Aziz, Abu Nowshed Chy
CoU-CU-DSG at BLP-2025 Task 1: Leveraging Weighted Probabilistic Fusion of Language Models for Bangla Hate Speech Detection
Ashraful Alam, Abdul Aziz, Abu Nowshed Chy
Could you BE more sarcastic? A Cognitive Approach to Bidirectional Sarcasm Understanding in Language Models
Veer Chheda, Avantika Sankhe, Atharva Vinay Sankhe
Could you BE more sarcastic? A Cognitive Approach to Bidirectional Sarcasm Understanding in Language Models
Veer Chheda, Avantika Sankhe, Atharva Vinay Sankhe
COUNTDOWN: Contextually Sparse Activation Filtering Out Unnecessary Weights in Down Projection
Jaewon Cheon, Pilsung Kang
Counterexample Guided Program Repair Using Zero-Shot Learning and MaxSAT-based Fault Localization
Pedro Orvalho, Mikoláš Janota, Vasco M. Manquinho
Counterfactual Concept Bottleneck Models
Gabriele Dominici, Pietro Barbiero, Francesco Giannini et al.
Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models
Jongho Kim, Seung-won Hwang
Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs
Yi Fang, Moxin Li, Wenjie Wang et al.
Counterfactual Debiasing for Physical Audiovisual Commonsense Reasoning
Daoming Zong, Chaoyue Ding, Kaitao Chen et al.
Counterfactual Evaluation for Blind Attack Detection in LLM-based Evaluation Systems
Lijia Liu, Takumi Kondo, Kyohei Atarashi et al.
Counterfactual Evaluation for Blind Attack Detection in LLM-based Evaluation Systems
Lijia Liu, Takumi Kondo, Kyohei Atarashi et al.
Counterfactual Explanations for Continuous Action Reinforcement Learning
Shuyang Dong, Shangtong Zhang, Lu Feng
Counterfactual Explanations of Time Varying Rankings (Student Abstract)
Ryusei Ohtani, Yuko Sakurai, Satoshi Oyama
Counterfactual Explanations Under Model Multiplicity and Their Use in Computational Argumentation
Gianvincenzo Alfano, Adam Gould, Francesco Leofante et al.
Counterfactual Generative Modeling with Variational Causal Inference
Yulun Wu, Louis McConnell, Claudia Iriondo