Yibo Yan
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
Bibliography
2026
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation.
CoRR, April, 2026
Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval.
CoRR, April, 2026
Unveiling Language Routing Isolation in Multilingual MoE Models for Interpretable Subnetwork Adaptation.
CoRR, April, 2026
AndroTMem: From Interaction Trajectories to Anchored Memory in Long-Horizon GUI Agents.
CoRR, March, 2026
Temporal Gains, Spatial Costs: Revisiting Video Fine-Tuning in Multimodal Large Language Models.
CoRR, March, 2026
Beyond the Grid: Layout-Informed Multi-Vector Retrieval with Parsed Visual Document Representations.
CoRR, March, 2026
Transfer learning for high-dimensional data with heavy-tailed noise: A sparse convoluted rank regression method.
Stat. Comput., February, 2026
Unlocking Multimodal Document Intelligence: From Current Triumphs to Future Frontiers of Visual Document Retrieval.
CoRR, February, 2026
Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework.
CoRR, February, 2026
CausalEmbed: Auto-Regressive Multi-Vector Generation in Latent Space for Visual Document Embedding.
CoRR, January, 2026
A Visual Semantic Adaptive Watermark grounded by Prefix-Tuning for Large Vision-Language Model.
CoRR, January, 2026
Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering.
CoRR, January, 2026
Distilling the Thought, Watermarking the Answer: A Principle Semantic Guided Watermark for Large Reasoning Models.
CoRR, January, 2026
Sharp Eyes and Memory for VideoLLMs: Information-Aware Visual Token Pruning for Efficient and Reliable VideoLLM Reasoning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
EffiReason-Bench: A Unified Benchmark for Evaluating and Advancing Efficient Reasoning in Large Language Models.
CoRR, November, 2025
Don't Just Chase "Highlighted Tokens" in MLLMs: Revisiting Visual Holistic Context Retention.
CoRR, October, 2025
DocPruner: A Storage-Efficient Framework for Multi-Vector Visual Document Retrieval via Adaptive Patch-Level Embedding Pruning.
CoRR, September, 2025
MOSS-ChatV: Reinforcement Learning with Process Reasoning Reward for Video Temporal Reasoning.
CoRR, September, 2025
PMark: Towards Robust and Distortion-free Semantic-level Watermarking with Channel Constraints.
CoRR, September, 2025
High-Dimensional Differentially Private Quantile Regression: Distributed Estimation and Statistical Inference.
CoRR, August, 2025
GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning.
CoRR, August, 2025
A knowledge distillation-based network compression framework for lifecycle management of lithium-ion batteries.
J. Supercomput., July, 2025
CoRR, July, 2025
A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models.
CoRR, July, 2025
Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities.
CoRR, May, 2025
AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models.
CoRR, May, 2025
CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring.
CoRR, May, 2025
RTV-Bench: Benchmarking MLLM Continuous Perception, Understanding and Reasoning through Real-Time Video.
CoRR, May, 2025
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.
CoRR, April, 2025
EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models.
CoRR, February, 2025
CoRR, February, 2025
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning.
CoRR, February, 2025
CoRR, February, 2025
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook.
Inf. Fusion, 2025
RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
PhysicsArena: The First Multimodal Physics Reasoning Benchmark Exploring Variable, Process, and Solution Dimensions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Proceedings of the 16th ACM SIGOPS Asia-Pacific Workshop on Systems, 2025
Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025
EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Improving Needle Tip Tracking and Detection in Ultrasound-Based Navigation System Using Deep Learning-Enabled Approach.
IEEE J. Biomed. Health Informatics, May, 2024
A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges.
CoRR, 2024
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey.
CoRR, 2024
Optimizing Multispectral Object Detection: A Bag of Tricks and Comprehensive Benchmarks.
CoRR, 2024
CoRR, 2024
Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios.
CoRR, 2024
MINER: Mining the Underlying Pattern of Modality-Specific Neurons in Multimodal Large Language Models.
CoRR, 2024
Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality.
CoRR, 2024
ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection.
CoRR, 2024
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models.
CoRR, 2024
Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models.
CoRR, 2024
UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Foundation Model for Urban Indicator Prediction.
CoRR, 2024
Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook.
CoRR, 2024
UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web.
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
GeoReasoner: Reasoning On Geospatially Grounded Context For Natural Language Understanding.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023
Confidence Intervals and Hypothesis Testing for High-dimensional Quantile Regression: Convolution Smoothing and Debiasing.
J. Mach. Learn. Res., 2023
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023
2022
Open Source Software Sustainability: Combining Institutional Analysis and Socio-Technical Networks.
Proc. ACM Hum. Comput. Interact., 2022
2020
IEEE Trans. Parallel Distributed Syst., 2020
Monitoring the Spatial and Temporal Variations in The Water Surface and Floating Algal Bloom Areas in Dongting Lake Using a Long-Term MODIS Image Time Series.
Remote. Sens., 2020
Proceedings of the 2020 IFIP Networking Conference, 2020
2019
Proceedings of the 20th IEEE International Conference on High Performance Switching and Routing, 2019
Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019
2018
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018
2017
SF-sketch: A Fast, Accurate, and Memory Efficient Data Structure to Store Frequencies of Data Items.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017