Suchergebnisse - "H.3"

Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse Retrieval

Autoren: Arthur Satouf Gabriel Ben-Zenou Benjamin Piwowarski et al.

Weitere Verfasser: Arthur Satouf Gabriel Ben-Zenou Benjamin Piwowarski et al.

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

Schlagwörter: 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)

Dateibeschreibung: application/pdf

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

Efficient Conversational Search via Topical Locality in Dense Retrieval

Autoren: Cristina Ioana Muntean Franco Maria Nardini Raffaele Perego et al.

Quelle: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. :2749-2753

Schlagwörter: FOS: Computer and information sciences, H.3, Computer Science - Human-Computer Interaction, Dense retrieval models, Conversational search, Efficiency, Information Retrieval (cs.IR), Computer Science - Information Retrieval, Human-Computer Interaction (cs.HC)

Zugangs-URL: http://arxiv.org/abs/2504.21507
https://dl.acm.org/doi/10.1145/3726302.3730186
https://doi.org/10.1145/3726302.3730186
https://hdl.handle.net/20.500.14243/555889
https://hdl.handle.net/11568/1317868
https://doi.org/10.1145/3726302.3730186

Harnessing the Power of Interleaving and Counterfactual Evaluation for Airbnb Search Ranking

Autoren: Qing Zhang Alex Deng Michelle Du et al.

Quelle: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :5205-5214

Schlagwörter: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Artificial Intelligence, Information Retrieval, H.3, G.3, Information Retrieval (cs.IR)

Zugangs-URL: http://arxiv.org/abs/2508.00751

RAGO: Systematic Performance Optimization for Retrieval-Augmented Generation Serving

Autoren: Wenqi Jiang Suvinay Subramanian Cat Graves et al.

Quelle: Proceedings of the 52nd Annual International Symposium on Computer Architecture

Schlagwörter: H.3, FOS: Computer and information sciences, Large Language Model, Computer Science - Computation and Language, Computer Science - Artificial Intelligence, C.4, Performance Optimization, Computer System, Computer Science - Information Retrieval, C.1, Computer Architecture, Retrieval-Augmented Generation, Artificial Intelligence (cs.AI), Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC), Computation and Language (cs.CL), Information Retrieval (cs.IR)

Dateibeschreibung: application/application/pdf

Zugangs-URL: http://arxiv.org/abs/2503.14649
http://hdl.handle.net/20.500.11850/744758

Literature-Grounded Novelty Assessment of Scientific Ideas

Autoren: Shahid, Simra Radensky, Marissa Fok, Raymond et al.

Quelle: Proceedings of the Fifth Workshop on Scholarly Document Processing (SDP 2025). :96-113

Schlagwörter: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), I.2, H.3, Artificial Intelligence, Information Retrieval, Information Retrieval (cs.IR)

Zugangs-URL: http://arxiv.org/abs/2506.22026

Scalable Transformer for High Dimensional Multivariate Time Series Forecasting

Autoren: Xin Zhou Weiqing Wang Wray Buntine et al.

Quelle: Digibug. Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)

Schlagwörter: FOS: Computer and information sciences, H.3, Multivariate Time Series Forecasting, Forecast accuracy, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), High-dimensional Time Series, Computer Science - Artificial Intelligence, Information Retrieval (cs.IR), Computer Science - Information Retrieval, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2408.04245
https://hdl.handle.net/10481/103364

Silencing the Risk, Not the Whistle: A Semi-automated Text Sanitization Tool for Mitigating the Risk of Whistleblower Re-Identification

Autoren: Dimitri Staufer Frank Pallas Bettina Berendt

Quelle: The 2024 ACM Conference on Fairness Accountability and Transparency. :733-745

Schlagwörter: H.3, FOS: Computer and information sciences, Computer Science - Computation and Language, H.5, J.4, 300 Sozialwissenschaften::380 Handel, Kommunikation, Verkehr::384 Kommunikation, Telekommunikation, Computer Science - Human-Computer Interaction, LLM-based rephrasing, K.4, 16. Peace & justice, K.5, Computer Science - Information Retrieval, Human-Computer Interaction (cs.HC), whistleblower anonymity, authorship obfuscation, Software Engineering (cs.SE), Computer Science - Computers and Society, Computer Science - Software Engineering, fine-tuning language models, D.2, text sanitization, Computers and Society (cs.CY), Computation and Language (cs.CL), Information Retrieval (cs.IR)

Zugangs-URL: http://arxiv.org/abs/2405.01097

Demo: Soccer Information Retrieval Via Natural Queries using SoccerRAG

Autoren: Aleksander Theo Strand Sushant Gautam Cise Midoglu et al.

Quelle: 2024 International Conference on Content-Based Multimedia Indexing (CBMI). :1-5

Schlagwörter: FOS: Computer and information sciences, Multimedia, Information Retrieval, Information Retrieval (cs.IR), Multimedia (cs.MM), H.3, I.2.7, H.5

Zugangs-URL: http://arxiv.org/abs/2406.01280

SoccerRAG: Multimodal Soccer Information Retrieval via Natural Queries

Autoren: Aleksander Theo Strand Sushant Gautam Cise Midoglu et al.

Quelle: 2024 International Conference on Content-Based Multimedia Indexing (CBMI). :1-7

Schlagwörter: FOS: Computer and information sciences, Multimedia, Information Retrieval, Information Retrieval (cs.IR), Multimedia (cs.MM), H.3, I.2.7, H.5

Zugangs-URL: http://arxiv.org/abs/2406.01273

Training-Free Zero-Shot Composed Image Retrieval via Weighted Modality Fusion and Similarity

Autoren: Ren-Di Wu Yu-Yen Lin Huei-Fang Yang

Quelle: Communications in Computer and Information Science ISBN: 9789819645886

Schlagwörter: H.3, FOS: Computer and information sciences, I.4, I.5, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 68U10, 68P20, 68T10

Zugangs-URL: http://arxiv.org/abs/2409.04918

A review on edge analytics: Issues, challenges, opportunities, promises, future directions, and applications

Autoren: Sabuzima Nayak Ripon Patgiri Lilapati Waikhom et al.

Quelle: Digital Communications and Networks, Vol 10, Iss 3, Pp 783-804 (2024)

Schlagwörter: I.2, H.3, FOS: Computer and information sciences, Artificial intelligence, Computer Science - Artificial Intelligence, H.2, Information technology, 02 engineering and technology, Edge analytics, Computer Science - Information Retrieval, C.5.1, Big data, Computer Science - Databases, Edge devices, 0202 electrical engineering, electronic engineering, information engineering, C.5.5, Sensor, 68Mxx, Databases (cs.DB), Edge computing, T58.5-58.64, Artificial Intelligence (cs.AI), Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC), Information Retrieval (cs.IR)

Zugangs-URL: http://arxiv.org/abs/2107.06835
https://doaj.org/article/717617e0b3614bc3a8b0b8859ce49e21

Application of Audio Fingerprinting Techniques for Real-Time Scalable Speech Retrieval and Speech Clusterization

Autoren: Altwlkany, Kemal Delalić, Sead Alihodžić, Adis et al.

Quelle: 2024 47th MIPRO ICT and Electronics Convention (MIPRO). :91-96

Schlagwörter: FOS: Computer and information sciences, H.3, Sound (cs.SD), Sound, Audio and Speech Processing (eess.AS), Information Retrieval, FOS: Electrical engineering, electronic engineering, information engineering, Audio and Speech Processing, Information Retrieval (cs.IR)

Zugangs-URL: http://arxiv.org/abs/2410.21876

ArcheType: A Novel Framework for Open-Source Column Type Annotation Using Large Language Models

Autoren: Feuer, Benjamin Liu, Yurong Hegde, Chinmay et al.

Quelle: Proceedings of the VLDB Endowment. 17:2279-2292

Schlagwörter: H.3, I.2, FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, H.3.3, I.2.7, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Computation and Language (cs.CL), Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2310.18208

Unraveling media perspectives: a comprehensive methodology combining large language models, topic modeling, sentiment analysis, and ontology learning to analyse media bias

Autoren: Orlando Jähde Thorsten Weber Rüdiger Buchkremer

Quelle: Journal of Computational Social Science. 8

Schlagwörter: I.2, H.3, FOS: Computer and information sciences, I.5, I.7, H.5, H.1, Computer Science - Machine Learning, Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Information Retrieval, Machine Learning (cs.LG), Artificial Intelligence (cs.AI), 68T09, 68T50, 68T05, 62R07, 68U15, 68T27, 68T20 68T09, 68T50, 68T05, 62R07, 68U15, 68T27, 68T20 68T09, 68T50, 68T05, 62R07, 68U15, 68T27, 68T20, Computer Science - Multiagent Systems, Computation and Language (cs.CL), Information Retrieval (cs.IR), Multiagent Systems (cs.MA)

Zugangs-URL: http://arxiv.org/abs/2505.01754

Efficient Digital Methods to Quantify Sensor Output Uncertainty

Autoren: Kaparounakis, Orestis Stanley-Marbell, Phillip

Schlagwörter: Signal Processing (eess.SP), I.4.1, G.3, E.4, H.3, Signal Processing, FOS: Electrical engineering, electronic engineering, information engineering

Zugangs-URL: http://arxiv.org/abs/2509.21311

SQUARE: Semantic Query-Augmented Fusion and Efficient Batch Reranking for Training-free Zero-Shot Composed Image Retrieval

Autoren: Wu, Ren-Di Lin, Yu-Yen Yang, Huei-Fang

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Information Retrieval, I.4, H.3, I.5, 68U10, 68P20, 68T10, 68T07, 68T45, 68T50, Computer Vision and Pattern Recognition, Information Retrieval (cs.IR)

Zugangs-URL: http://arxiv.org/abs/2509.26330

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting

Autoren: Zhou, Shiqiao Schöner, Holger Lyu, Huanbo et al.

Schlagwörter: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Artificial Intelligence, Information Retrieval, Information Retrieval (cs.IR), H.3, I.2

Zugangs-URL: http://arxiv.org/abs/2509.00622

Hubness Reduction with Dual Bank Sinkhorn Normalization for Cross-Modal Retrieval

Autoren: Pan, Zhengxin Wang, Haishuai Wu, Fangyu et al.

Schlagwörter: FOS: Computer and information sciences, H.3, Information Retrieval, Information Retrieval (cs.IR)

Zugangs-URL: http://arxiv.org/abs/2508.02538

Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: 'One Map, Many Trials' in Satellite-Driven Poverty Analysis

Autoren: Pettersson, Markus Jerzak, Connor T. Daoud, Adel

Schlagwörter: Machine Learning, FOS: Computer and information sciences, H.3, 62C12, Machine Learning (stat.ML), Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2508.01341

Beyond Chunks and Graphs: Retrieval-Augmented Generation through Triplet-Driven Thinking

Autoren: Gong, Shengbo Tang, Xianfeng Yang, Carl et al.

Schlagwörter: FOS: Computer and information sciences, H.3, Information Retrieval, Information Retrieval (cs.IR)

Zugangs-URL: http://arxiv.org/abs/2508.02435