3D Gaussian Inverse Rendering with Approximated Global Illumination.
CoRR, April, 2025
Dynamic fusion of multi-source heterogeneous data using MOE mechanism for stock prediction.
Appl. Intell., April, 2025
Haste Makes Waste: Evaluating Planning Abilities of LLMs for Efficient and Feasible Multitasking with Time Constraints Between Actions.
CoRR, March, 2025
Automated Annotation of Evolving Corpora for Augmenting Longitudinal Network Data: A Framework Integrating Large Language Models and Expert Knowledge.
CoRR, March, 2025
KIA: Knowledge-Guided Implicit Vision-Language Alignment for Chest X-Ray Report Generation.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
F-DQN: an optimized DQN for decision-making of generator start-up sequence after blackout.
Appl. Intell., April, 2024
City-scale continual neural semantic mapping with three-layer sampling and panoptic representation.
Knowl. Based Syst., 2024
ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
DC-FUDA: Improving deep clustering via fully unsupervised domain adaptation.
Neurocomputing, March, 2023
Lawyer LLaMA Technical Report.
CoRR, 2023
LATITUDE: Robotic Global Localization with Truncated Dynamic Low-pass Filter in City-scale NeRF.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Enhancing Structured Evidence Extraction for Fact Verification.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
UnifEE: Unified Evidence Extraction for Fact Verification.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
MARS: An Instance-Aware, Modular and Realistic Simulator for Autonomous Driving.
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Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023
AsyncNeRF: Learning Large-scale Radiance Fields from Asynchronous RGB-D Sequences with Time-Pose Function.
CoRR, 2022
City-scale Incremental Neural Mapping with Three-layer Sampling and Panoptic Representation.
CoRR, 2022
OmniNeRF: Hybriding Omnidirectional Distance and Radiance fields for Neural Surface Reconstruction.
CoRR, 2022
Dual-Channel Evidence Fusion for Fact Verification over Texts and Tables.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Real-time switching and visualization of logging attributes based on subspace learning.
Comput. Geosci., 2021
Cellbow: a robust customizable cell segmentation program.
Quant. Biol., 2020