Výsledky vyhľadávania - "Computation and Language"

Text clustering with large language model embeddings

Autori: Alina Petukhova João P. Matos-Carvalho Nuno Fachada

Zdroj: International Journal of Cognitive Computing in Engineering, Vol 6, Iss, Pp 100-108 (2025)

Predmety: I.7.m, FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Computer Science - Artificial Intelligence, I.2.6, Science, I.2.7, QA75.5-76.95, Text summarisation, Machine Learning (cs.LG), Text clustering, Artificial Intelligence (cs.AI), Electronic computers. Computer science, Large language models, 68T50 (Primary), 62H30 (Secondary), Computation and Language (cs.CL)

Prístupová URL adresa: http://arxiv.org/abs/2403.15112
https://doaj.org/article/0d07ddd5e301430f8c147693d73f9264

Integrating large language models and active inference to understand eye movements in reading and dyslexia

Autori: Francesco Donnarumma Mirco Frosolone Giovanni Pezzulo

Zdroj: Physics of Life Reviews. 55:61-78

Predmety: FOS: Computer and information sciences, Neurons and Cognition, FOS: Biological sciences, Neurons and Cognition (q-bio.NC), Computation and Language, Computation and Language (cs.CL)

Prístupová URL adresa: http://arxiv.org/abs/2308.04941

Breathing and Semantic Pause Detection and Exertion-Level Classification in Post-Exercise Speech

Autori: Yuyu Wang Wuyue Xia Huaxiu Yao a ďalší

Zdroj: Proceedings of the 3rd ACM International Workshop on Intelligent Acoustic Systems and Applications. :13-18

Predmety: Machine Learning, FOS: Computer and information sciences, Sound (cs.SD), Sound, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computation and Language, Computation and Language (cs.CL), Audio and Speech Processing, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2509.15473

Using Sentiment Analysis to Investigate Peer Feedback by Native and Non-Native English Speakers

Autori: Brittney Exline Melanie Duffin Brittany Harbison a ďalší

Zdroj: Proceedings of the ACM Global on Computing Education Conference 2025 Vol 1. :275-281

Predmety: FOS: Computer and information sciences, I.2.7, K.3.1, Computation and Language, Computation and Language (cs.CL)

Prístupová URL adresa: http://arxiv.org/abs/2507.22924

Demo: TOSense – What Did You Just Agree to?

Autori: Chen, Xinzhang Ali, Hassan Shaghaghi, Arash a ďalší

Zdroj: 2025 IEEE 50th Conference on Local Computer Networks (LCN). :1-4

Predmety: FOS: Computer and information sciences, Cryptography and Security, Computation and Language, Cryptography and Security (cs.CR), Computation and Language (cs.CL)

Prístupová URL adresa: http://arxiv.org/abs/2508.00659

JailbreakHunter: A Visual Analytics Approach for Jailbreak Prompts Discovery From Large-Scale Human-LLM Conversational Datasets

Autori: Zhihua Jin Shiyi Liu Haotian Li a ďalší

Zdroj: IEEE Transactions on Visualization and Computer Graphics. 31:7923-7937

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Computer Science - Human-Computer Interaction, 16. Peace & justice, Computation and Language (cs.CL), Human-Computer Interaction (cs.HC), Machine Learning (cs.LG)

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40215145
http://arxiv.org/abs/2407.03045

Win-Win Cooperation: Bundling Sequence and Span Models for Named Entity Recognition

Autori: Bin Ji Huijun Liu Shasha Li a ďalší

Zdroj: IEEE Transactions on Knowledge and Data Engineering. 37:6246-6258

Predmety: FOS: Computer and information sciences, Computer Science - Computation and Language, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Computation and Language (cs.CL)

Prístupová URL adresa: http://arxiv.org/abs/2207.03300

JailbreakLens: Visual Analysis of Jailbreak Attacks Against Large Language Models

Autori: Yingchaojie Feng Zhizhang Chen Zhining Kang a ďalší

Zdroj: IEEE Transactions on Visualization and Computer Graphics. 31:8668-8682

Predmety: FOS: Computer and information sciences, Computer Science - Cryptography and Security, Computer Science - Computation and Language, Computer Science - Human-Computer Interaction, Cryptography and Security (cs.CR), Computation and Language (cs.CL), Human-Computer Interaction (cs.HC)

Prístupová URL adresa: http://arxiv.org/abs/2404.08793

Emulating Reader Behaviors for Fake News Detection

Autori: Junwei Yin Min Gao Kai Shu a ďalší

Zdroj: IEEE Transactions on Big Data. 11:2353-2364

Predmety: FOS: Computer and information sciences, Computer Science - Computation and Language, Computation and Language (cs.CL)

Prístupová URL adresa: http://arxiv.org/abs/2306.15231

Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion Recognition

Autori: Jiang Li Xiaoping Wang Zhigang Zeng

Zdroj: IEEE Transactions on Pattern Analysis and Machine Intelligence. 47:8786-8803

Predmety: FOS: Computer and information sciences, Computation and Language, Computation and Language (cs.CL)

Prístupová URL adresa: http://arxiv.org/abs/2407.21536

TokenRec: Learning to Tokenize ID for LLM-Based Generative Recommendations

Autori: Haohao Qu Wenqi Fan Zihuai Zhao a ďalší

Zdroj: IEEE Transactions on Knowledge and Data Engineering. 37:6216-6231

Predmety: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Artificial Intelligence, Information Retrieval, Computation and Language, Computation and Language (cs.CL), Information Retrieval (cs.IR)

Prístupová URL adresa: http://arxiv.org/abs/2406.10450

Towards Skeletal and Signer Noise Reduction in Sign Language Production via Quaternion-Based Pose Encoding and Contrastive Learning

Autori: Guilhem Fauré Mostafa Sadeghi Sam Bigeard a ďalší

Prispievatelia: Guilhem Fauré Mostafa Sadeghi Sam Bigeard a ďalší

Zdroj: Adjunct Proceedings of the 25th ACM International Conference on Intelligent Virtual Agents. :1-9

Predmety: Machine Learning, FOS: Computer and information sciences, Deep Learning, Contrastive Learning, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], Sign Language Production, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Computation and Language, Pose Encoding, Computation and Language (cs.CL), Machine Learning (cs.LG)

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2508.14574

Data Augmentation for Spoken Grammatical Error Correction

Autori: Karanasou, Penny Qian, Mengjie Banno, Stefano a ďalší

Prispievatelia: Karanasou, Penny Qian, Mengjie Banno, Stefano a ďalší

Zdroj: 10th Workshop on Speech and Language Technology in Education (SLaTE). :194-198

Predmety: FOS: Computer and information sciences, Sound (cs.SD), Sound, Artificial Intelligence (cs.AI), Artificial Intelligence, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computation and Language, Computation and Language (cs.CL), Audio and Speech Processing

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2507.19374

Natural Language-based Assessment of L2 Oral Proficiency using LLMs

Autori: Banno, Stefano Ma, Rao Qian, Mengjie a ďalší

Prispievatelia: Banno, Stefano Ma, Rao Qian, Mengjie a ďalší

Zdroj: 10th Workshop on Speech and Language Technology in Education (SLaTE). :189-193

Predmety: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Artificial Intelligence, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computation and Language, Computation and Language (cs.CL), Audio and Speech Processing

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2507.10200
https://www.repository.cam.ac.uk/handle/1810/387540
https://doi.org/10.17863/cam.120285

Investigating Task Arithmetic for Zero-Shot Information Retrieval

Autori: Marco Braga Pranav Kasela Alessandro Raganato a ďalší

Zdroj: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. :2738-2743

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Task Arithmetic, Domain-specific and Multilingual IR, Zero-Shot, Computation and Language (cs.CL), Information Retrieval (cs.IR), Computer Science - Information Retrieval, Machine Learning (cs.LG)

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2505.00649
https://hdl.handle.net/11583/3002210
https://dl.acm.org/doi/pdf/10.1145/3726302.3730216
https://doi.org/10.1145/3726302.3730216

IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agents

Autori: Shrestha Mohanty Negar Arabzadeh Andrea Tupini a ďalší

Zdroj: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. :3551-3562

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Artificial Intelligence (cs.AI), Artificial Intelligence, Topic Modeling, Computer Science - Artificial Intelligence, AI in Service Interactions, Speech and dialogue systems, Computation and Language (cs.CL), Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2407.08898

Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse Retrieval

Autori: Arthur Satouf Gabriel Ben-Zenou Benjamin Piwowarski a ďalší

Prispievatelia: Arthur Satouf Gabriel Ben-Zenou Benjamin Piwowarski a ďalší

Zdroj: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. :2674-2678

Predmety: FOS: Computer and information sciences, H.3, Rational Speech Acts, Computer Science - Computation and Language, 68P20, 68T50, [SHS.LANGUE] Humanities and Social Sciences/Linguistics, Neural Information Retrieval, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Computer Science - Information Retrieval, Sparse Retrieval, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], Pragmatic Reasoning, Linguistic Pragmatics for Retrieval, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], Computation and Language (cs.CL), Information Retrieval (cs.IR)

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2505.03676
https://hal.science/hal-05074220v1
https://hal.science/hal-05074220v1/document
https://doi.org/10.1145/3726302.3730239

LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data

Autori: Bezirganyan, Grigor Sellami, Sana Berti-Équille, Laure a ďalší

Prispievatelia: Bezirganyan, Grigor Sellami, Sana Berti-Équille, Laure a ďalší

Zdroj: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. :3782-3791

Predmety: multimodal learning, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Machine Learning, FOS: Computer and information sciences, benchmark, Artificial Intelligence (cs.AI), Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Uncertainty, Computer Vision and Pattern Recognition, Computation and Language, Computation and Language (cs.CL), Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2406.09864
https://hal.science/hal-05282191v1
https://doi.org/10.1145/3726302.3730302

Towards Lossless Token Pruning in Late-Interaction Retrieval Models

Autori: Yuxuan Zong Benjamin Piwowarski ZONG, Yuxuan

Prispievatelia: Yuxuan Zong Benjamin Piwowarski ZONG, Yuxuan

Zdroj: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. :2407-2417

Predmety: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], FOS: Computer and information sciences, CCS Concepts, Multi-vector Retrieval, Computer Science - Computation and Language, Efficiency-Effectiveness Trade-off, Computer Science - Artificial Intelligence, Computer Science - Information Retrieval, CCS Concepts Information systems → Document representation Retrieval models and ranking Information retrieval Information Retrieval, Artificial Intelligence (cs.AI), [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], Information retrieval Information Retrieval, Dense Retrieval, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], Information systems → Document representation, Retrieval models and ranking, Computation and Language (cs.CL), Information Retrieval (cs.IR)

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2504.12778

A Fuzzy Approach to Project Success: Measuring What Matters: measuring what matters

Autori: Granja-Correia, João Hernández-Linares, Remedios Ferranti, Luca a ďalší

Zdroj: 2025 IEEE International Conference on Fuzzy Systems (FUZZ). :1-4

Predmety: Software Engineering (cs.SE), FOS: Computer and information sciences, Project success, Project management, Software Engineering, Fuzzy systems, Computation and Language, Computation and Language (cs.CL), H.4.m

Prístupová URL adresa: http://arxiv.org/abs/2507.12653
https://ciencia.ucp.pt/en/publications/f06469ae-17ec-45fd-bf87-20ca4f4711d9
https://doi.org/10.1109/FUZZ62266.2025.11152125