Papers
6,952 papers found
Assignment of account type to proto-cuneiform economic texts with Multi-Class Support Vector Machines
Piotr Zadworny, Shai Gordin
A Survey of NLP Progress in Sino-Tibetan Low-Resource Languages
Shuheng Liu, Michael Best
A Survey to Recent Progress Towards Understanding In-Context Learning
Haitao Mao, Guangliang Liu, Yao Ma et al.
A Systematic Evaluation of LLM Strategies for Mental Health Text Analysis: Fine-tuning vs. Prompt Engineering vs. RAG
Arshia Kermani, Veronica Perez-Rosas, Vangelis Metsis
A Systematic Examination of Preference Learning through the Lens of Instruction-Following
Joongwon Kim, Anirudh Goyal, Aston Zhang et al.
A Systematic Study of Cross-Layer KV Sharing for Efficient LLM Inference
You Wu, Haoyi Wu, Kewei Tu
ATAIGI: An AI-Powered Multimodal Learning App Leveraging Generative Models for Low-Resource Taiwanese Hokkien
Yun-Hsin Chu, Shuai Zhu, Shou-Yi Hung et al.
A Template Is All You Meme
Luke Bates, Peter Ebert Christensen, Preslav Nakov et al.
A Theoretical Framework for Evaluating Narrative Surprise in Large Language Models
Annaliese Bissell, Ella Paulin, Andrew Piper
A Top-down Graph-based Tool for Modeling Classical Semantic Maps: A Case Study of Supplementary Adverbs
Zhu Liu, Cunliang Kong, Ying Liu et al.
Atoxia: Red-teaming Large Language Models with Target Toxic Answers
Yuhao Du, Zhuo Li, Pengyu Cheng et al.
Attention on Multiword Expressions: A Multilingual Study of BERT-based Models with Regard to Idiomaticity and Microsyntax
Iuliia Zaitova, Vitalii Hirak, Badr M. Abdullah et al.
Attention Tracker: Detecting Prompt Injection Attacks in LLMs
Kuo-Han Hung, Ching-Yun Ko, Ambrish Rawat et al.
AudioBench: A Universal Benchmark for Audio Large Language Models
Bin Wang, Xunlong Zou, Geyu Lin et al.
Audio Description Generation in the Era of LLMs and VLMs: A Review of Transferable Generative AI Technologies
Yingqiang Gao, Lukas Fischer, Alexa Lintner et al.
Audio Is the Achilles’ Heel: Red Teaming Audio Large Multimodal Models
Hao Yang, Lizhen Qu, Ehsan Shareghi et al.
Augmented Adversarial Trigger Learning
Zhe Wang, Yanjun Qi
Augmented Close Reading for Classical Latin using BERT for Intertextual Exploration
Ashley Gong, Katy Gero, Mark Schiefsky
A Unified Supervised and Unsupervised Dialogue Topic Segmentation Framework Based on Utterance Pair Modeling
Shihao Yang, Ziyi Zhang, Yue Jiang et al.
AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization via Multi-LLMs
Jiawei Chen, Xiao Yang, Zhengwei Fang et al.
AutoClean: LLMs Can Prepare Their Training Corpus
Xingyu Shen, Shengding Hu, Xinrong Zhang et al.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework
Aman Tiwari, Shiva Krishna Reddy Malay, Vikas Yadav et al.
AutoEval-ToD: Automated Evaluation of Task-oriented Dialog Systems
Arihant Jain, Purav Aggarwal, Rishav Sahay et al.
AutoKB: Automated Creation of Structured Knowledge Bases for Domain-Specific Support
Rishav Sahay, Arihant Jain, Purav Aggarwal et al.