Papers
16,749 papers found
An Empirical Study of Many-to-Many Summarization with Large Language Models
Jiaan Wang, Fandong Meng, Zengkui Sun et al.
A New Formulation of Zipf’s Meaning-Frequency Law through Contextual Diversity
Ryo Nagata, Kumiko Tanaka-Ishii
An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT)
Laurie Burchell, Ona de Gibert, Nikolay Arefyev et al.
Angeliki Linardatou at SemEval-2025 Task 11: Multi-label Emotion Detection
Angeliki Linardatou, Paraskevi Platanou
AnnaAgent: Dynamic Evolution Agent System with Multi-Session Memory for Realistic Seeker Simulation
Ming Wang, Peidong Wang, Lin Wu et al.
Annif at SemEval-2025 Task 5: Traditional XMTC augmented by LLMs
Osma Suominen, Juho Inkinen, Mona Lehtinen
Annotating and Inferring Compositional Structures in Numeral Systems Across Languages
Arne Rubehn, Christoph Rzymski, Luca Ciucci et al.
Annotating candy speech in German YouTube comments
Yulia Clausen, Tatjana Scheffler
Annotating Spatial Descriptions in Literary and Non-Literary Text
Emilie Sitter, Omar Momen, Florian Steig et al.
Annotating the Annotators: Analysis, Insights and Modelling from an Annotation Campaign on Persuasion Techniques Detection
Davide Bassi, Dimitar Iliyanov Dimitrov, Bernardo D’Auria et al.
Another Approach to Agreement Measurement and Prediction with Emotion Annotations
Quanqi Du, Veronique Hoste
A Novel Dataset for Classifying German Hate Speech Comments with Criminal Relevance
Vincent Kums, Florian Meyer, Luisa Pivit et al.
AnRe: Analogical Replay for Temporal Knowledge Graph Forecasting
Guo Tang, Zheng Chu, Wenxiang Zheng et al.
Answering Complex Geographic Questions by Adaptive Reasoning with Visual Context and External Commonsense Knowledge
Fan Li, Jianxing Yu, Jielong Tang et al.
Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning
Shota Takashiro, Takeshi Kojima, Andrew Gambardella et al.
AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge
Xiaobao Wu, Liangming Pan, Yuxi Xie et al.
Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval
Zheng Liu, Ze Liu, Zhengyang Liang et al.
Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMs
Xiulin Yang, Tatsuya Aoyama, Yuekun Yao et al.
A Parallelized Framework for Simulating Large-Scale LLM Agents with Realistic Environments and Interactions
Jun Zhang, Yuwei Yan, Junbo Yan et al.
A Parameter-Efficient and Fine-Grained Prompt Learning for Vision-Language Models
Yongbin Guo, Shuzhen Li, Zhulin Liu et al.
APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs
Yuxiang Huang, Mingye Li, Xu Han et al.
A Persona-Aware LLM-Enhanced Framework for Multi-Session Personalized Dialogue Generation
Dongshuo Liu, Zhijing Wu, Dandan Song et al.
A Perspective on LLM Data Generation with Few-shot Examples: from Intent to Kubernetes Manifest
Antonino Angi, Liubov Nedoshivina, Alessio Sacco et al.
APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
Honghua Dong, Qidong Su, Yubo Gao et al.
Applying the Character-Role Narrative Framework with LLMs to Investigate Environmental Narratives in Scientific Editorials and Tweets
Francesca Grasso, Stefano Locci, Manfred Stede