Papers
17,973 papers found
A Survey on LLM-powered Agents for Recommender Systems
Qiyao Peng, Hongtao Liu, Hua Huang et al.
A Survey on LLMs for Story Generation
Maria Teleki, Vedangi Bengali, Xiangjue Dong et al.
A Survey on Multi-modal Intent Recognition: Recent Advances and New Frontiers
Zhihong Zhu, Fan Zhang, Yunyan Zhang et al.
A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models
Dong Shu, Xuansheng Wu, Haiyan Zhao et al.
A Survey on Training-free Alignment of Large Language Models
Birong Pan, Yongqi Li, Weiyu Zhang et al.
A Symbolic Adversarial Learning Framework for Evolving Fake News Generation and Detection
Chong Tian, Qirong Ho, Xiuying Chen
A Systematic Analysis of Base Model Choice for Reward Modeling
Kian Ahrabian, Pegah Jandaghi, Negar Mokhberian et al.
A Systematic Survey of Automatic Prompt Optimization Techniques
Kiran Ramnath, Kang Zhou, Sheng Guan et al.
A Systematic Survey of Claim Verification: Corpora, Systems, and Case Studies
Zhaxi Zerong, Chenxi Li, Xinyi Liu et al.
A Text-Based Recommender System that Leverages Explicit Affective State Preferences
Tonmoy Hasan, Razvan Bunescu
ATHAR: A High-Quality and Diverse Dataset for Classical Arabic to English Translation
Mohammed Sabry Mohammed, Mohammed Khalil
A Theorem-Proving-Based Evaluation of Neural Semantic Parsing
Hayate Funakura, Hyunsoo Kim, Koji Mineshima
A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation
Yan Li, Tianyi Zhang, Zechuan Li et al.
Attack as Defense: Safeguarding Large Vision-Language Models from Jailbreaking by Adversarial Attacks
Chongxin Li, Hanzhang Wang, Yuchun Fang
Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models
Piotr Przybyła, Euan McGill, Horacio Saggion
Attacks by Content: Automated Fact-checking is an AI Security Issue
Michael Sejr Schlichtkrull
Attention Consistency for LLMs Explanation
Tian Lan, Jinyuan Xu, Xue He et al.
Attention Eclipse: Manipulating Attention to Bypass LLM Safety-Alignment
Pedram Zaree, Md Abdullah Al Mamun, Quazi Mishkatul Alam et al.
Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models
Qiang Liu, Xinlong Chen, Yue Ding et al.
AttnComp: Attention-Guided Adaptive Context Compression for Retrieval-Augmented Generation
Lvzhou Luo, Yixuan Cao, Ping Luo
AttributeForge: An Agentic LLM Framework for Automated Product Schema Modeling
Yunhan Huang, Klevis Ramo, Andrea Iovine et al.
Attributes as Textual Genes: Leveraging LLMs as Genetic Algorithm Simulators for Conditional Synthetic Data Generation
Guangzeng Han, Weisi Liu, Xiaolei Huang
Attribution and Application of Multiple Neurons in Multimodal Large Language Models
Feiyu Wang, Ziran Zhao, Dong Yu et al.
Audio-Aware Large Language Models as Judges for Speaking Styles
Cheng-Han Chiang, Xiaofei Wang, Chung-Ching Lin et al.
Audio-Based Crowd-Sourced Evaluation of Machine Translation Quality
Sami Haq, Sheila Castilho, Yvette Graham