Papers
20,003 papers found
Assessing Automated Fact-Checking for Medical LLM Responses with Knowledge Graphs
Shasha Zhou, Mingyu Huang, Jack Cole et al.
Assessing LLMs for Serendipity Discovery in Knowledge Graphs: A Case for Drug Repurposing
Mengying Wang, Chenhui Ma, Ao Jiao et al.
Assessing the Capabilities of LLMs in Humor: A Multi-dimensional Analysis of Oogiri Generation and Evaluation
Ritsu Sakabe, Hwichan Kim, Tosho Hirasawa et al.
Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study
Calvin Isley, Joshua Gilbert, Evangelos Kassos et al.
Assessing the Risk of Falls in Older Adults Living in the Community Using Machine Learning Models with Imputation (Student Abstract)
Atul Teja Vellampalli, Yugan Kumar, Kai Zhe Tan et al.
AssetOpsBench-Live: Privacy-Aware Online Evaluation of Multi-Agent Performance in Industrial Operations
Dhaval Patel, Nianjun Zhou, Shuxin Lin et al.
Assignment Problems in Cost Function Networks
Guidio Sewa, David Allouche, Simon de Givry et al.
ASSIST-3D: Adapted Scene Synthesis for Class-Agnostic 3D Instance Segmentation
Shengchao Zhou, Jiehong Lin, Jiahui Liu et al.
A Stage-Aware Mixture of Experts Framework for Neurodegenerative Disease Progression Modelling
Tiantian He, Keyue Jiang, An Zhao et al.
AStar: Boosting Multimodal Reasoning with Automated Structured Thinking
Jinyang Wu, Mingkuan Feng, Guocheng Zhai et al.
A Study of Finetuning Video Transformers for Multi-view Geometry Tasks
Huimin Wu, Kwang-Ting Cheng, Stephen Lin et al.
A Switching Framework for Online Interval Scheduling with Predictions
Antonios Antoniadis, Ali Shahheidar, Golnoosh Shahkarami et al.
Asymmetric Cross-Modal Knowledge Distillation: Bridging Modalities with Weak Semantic Consistency
Riling Wei, Kelu Yao, Chuanguang Yang et al.
Asymptotic and Finite Sample Analysis of Nonexpansive Stochastic Approximations with Markovian Noise
Ethan Blaser, Shangtong Zhang
A Tale of Two Identities: An Ethical Audit of AI-Crafted Synthetic Personas
Pranav Narayanan Venkit, Jiayi Li, Yingfan Zhou et al.
A Text-Routed Sparse Mixture-of-Experts Model with Explanation and Temporal Alignment for Multi-Modal Sentiment Analysis
Dongning Rao, Yunbiao Zeng, Zhihua Jiang et al.
AT-Field: Rethinking the Games in Adversarial Training
Yixiao Xu, Mohan Li, Zhijie Shen et al.
A Theoretical Analysis of Detecting Large Model-Generated Time Series
Junji Hou, Junzhou Zhao, Shuo Zhang et al.
A Theoretical Model for Grit in Pursuing Ambitious Ends
Avrim Blum, Emily Diana, Kavya Ravichandran et al.
A Theory-Inspired Framework for Few-Shot Cross-Modal Sketch Person Re-Identification
Yunpeng Gong, Yongjie Hou, Jiangming Shi et al.
A Theory of Adaptive Scaffolding for LLM-Based Pedagogical Agents
Clayton Cohn, Surya Rayala, Namrata Srivastava et al.
Atom-level Adaptive Receptive Fields: A Pruning-Based Encoder for 2D Molecular Graphs (Student Abstract)
Yuhao Zhang, Ningkang Peng, Yafei Liu et al.
A Topological Rewriting of Tarski’s Mereogeometry
Richard Dapoigny
A TSP-Based Algorithm for Multi-League Traveling Tournament
Jingyang Zhao, Mingyu Xiao, Ken-Ichi Kawarabayashi
Attack the Messages, Not the Agents: A Multi-round Adaptive Stealthy Tampering Framework for LLM-MAS
Bingyu Yan, Xiaoming Zhang, Ziyi Zhou et al.