Papers
9,311 papers found
Evaluating, Synthesizing, and Enhancing for Customer Support Conversation
Jie Zhu, Huaixia Dou, Junhui Li et al.
Beyond World Models: Rethinking Understanding in AI Models
Tarun Gupta, Danish Pruthi
Any2Critical: Safety-Critical Scenario Generation from Arbitrary Real-World Driving Contexts
Yao Huang, Yubo Chen, Ruochen Zhang et al.
CL-Guard: Defending DNNs Against Backdoors via Fine-Grained Neuron Analysis and Collaborative Dual-Network Learning
Jie Xiao, Yuhao Huang, Yanjiao Gao et al.
CABTO: Context-Aware Behavior Tree Grounding for Robot Manipulation
Yishuai Cai, Xinglin Chen, Yunxin Mao et al.
Co-EPG: A Framework for Co-Evolution of Planning and Grounding in Autonomous GUI Agents
Yuan Zhao, Hualei Zhu, Tingyu Jiang et al.
Instance Dependent Testing of Samplers Using Interval Conditioning
Rishiraj Bhattacharyya, Sourav Chakraborty, Yash Pote et al.
Unintended Misalignment from Agentic Fine-Tuning: Risks and Mitigation
Dongyoon Hahm, Taywon Min, Woogyeol Jin et al.
Beautiful Images, Toxic Words: Understanding and Addressing Offensive Text in Generated Images
Aditya Kumar, Tom Blanchard, Adam Dziedzic et al.
LocalBench: Benchmarking LLMs on County-Level Local Knowledge and Reasoning
Zihan Gao, Yifei Xu, Jacob Thebault-Spieker
TRACE: Textual Relevance Augmentation and Contextual Encoding for Multimodal Hate Detection
Girish A. Koushik, Helen Treharne, Aditya Joshi et al.
Rescind: Countering Image Misconduct in Biomedical Publications with Vision-Language and State-Space Modeling
Soumyaroop Nandi, Prem Natarajan
The Confidence Trap: Gender Bias and Predictive Certainty in LLMs
Ahmed Sabir, Markus Kängsepp, Rajesh Sharma
Complex Reasoning over Vision and Language --Leveraging Neurosymbolic AI
Parisa Kordjamshidi
Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent (Abstract Reprint)
Mohit Kumar, Alexander Valentinitsch, Magdalena Fuchs et al.
Optimizing Preferential Rate in Retail Lending with Causal Inference and Domain Adaptation
Jimyung Choi, Yujin Lee, Hyeryeong Oh et al.
Balancing Scaffolding and Autonomy: A Case Study in Designing a Scalable Undergraduate Machine Learning Research Course
Xinyue Chen, Sharon Jessica, Xu Wang et al.
Impact of a Data-driven Teaching Approach on 9th Graders Conceptual Understanding of Machine Learning
Erik Marx, Thiemo Leonhardt, Nadine Bergner
Context Selection and Rewriting for Video-based Educational Question Generation
Mengxia Yu, Bang Nguyen, Olivia Zino et al.
Conversational AI for Social Good (CAI4SG): An Overview of Emerging Trends, Applications, and Challenges
Yi-Chieh Lee, Junti Zhang, Tianqi Song et al.
Learning Through Concepts: Hierarchies, Logic and Reasoning
Deepika SN Vemuri
Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint (Student Abstract)
Bertille Tierny, Arthur Charpentier, Francois Hu