Zilong Zheng
Orcid: 0009-0004-4381-1599
According to our database1,
Zilong Zheng
authored at least 59 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
Microscale Lateral Perovskite Light Emitting Diode Realized by Self-Doping Phenomenon.
Sensors, July, 2024
CoRR, 2024
ExoViP: Step-by-step Verification and Exploration with Exoskeleton Modules for Compositional Visual Reasoning.
CoRR, 2024
Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformers.
CoRR, 2024
VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models.
CoRR, 2024
Never Miss A Beat: An Efficient Recipe for Context Window Extension of Large Language Models with Consistent "Middle" Enhancement.
CoRR, 2024
CoRR, 2024
LSTP: Language-guided Spatial-Temporal Prompt Learning for Long-form Video-Text Understanding.
CoRR, 2024
Towards Better Chinese Spelling Check for Search Engines: A New Dataset and Strong Baseline.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
MindDial: Enhancing Conversational Agents with Theory-of-Mind for Common Ground Alignment and Negotiation.
Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2024
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Potential and Limitations of LLMs in Capturing Structured Semantics: A Case Study on SRL.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
Towards More Realistic Chinese Spell Checking with New Benchmark and Specialized Expert Model.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
LangSuit·E: Planning, Controlling and Interacting with Large Language Models in Embodied Text Environments.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models.
CoRR, 2023
CoRR, 2023
MindDial: Belief Dynamics Tracking with Theory-of-Mind Modeling for Situated Neural Dialogue Generation.
CoRR, 2023
CoRR, 2023
Shuo Wen Jie Zi: Rethinking Dictionaries and Glyphs for Chinese Language Pre-training.
CoRR, 2023
Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners.
CoRR, 2023
AVPCD: a plant-derived medicine database of antiviral phytochemicals for cancer, Covid-19, malaria and HIV.
Database J. Biol. Databases Curation, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
VSTAR: A Video-grounded Dialogue Dataset for Situated Semantic Understanding with Scene and Topic Transitions.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Conditional Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
scEnhancer: a single-cell enhancer resource with annotation across hundreds of tissue/cell types in three species.
Nucleic Acids Res., 2022
CoRR, 2022
Proceedings of the ISWC 2022 Posters, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene Graphs with Language Structures via Dependency Relationships.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Patchwise Generative ConvNet: Training Energy-Based Models From a Single Natural Image for Internal Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Generative PointNet: Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification.
CoRR, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Multimodal Conditional Learning with Fast Thinking Policy-like Model and Slow Thinking Planner-like Model.
CoRR, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018