Xiang Yue
Orcid: 0000-0003-4547-1685
According to our database1,
Xiang Yue
authored at least 102 papers
between 2015 and 2025.
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Bibliography
2025
Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning.
CoRR, July, 2025
Neural Comput. Appl., June, 2025
CoRR, June, 2025
Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs.
CoRR, May, 2025
The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think.
CoRR, May, 2025
Speculative Thinking: Enhancing Small-Model Reasoning with Large Model Guidance at Inference Time.
CoRR, April, 2025
CoRR, April, 2025
ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations.
CoRR, April, 2025
CoRR, March, 2025
CoRR, March, 2025
CoRR, February, 2025
Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate.
CoRR, January, 2025
Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos.
CoRR, January, 2025
Trans. Mach. Learn. Res., 2025
JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization.
CoRR, 2024
VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?
CoRR, 2024
CoRR, 2024
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Grokking of Implicit Reasoning in Transformers: A Mechanistic Journey to the Edge of Generalization.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
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
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
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
2023
Ind. Robot, 2023
Can ChatGPT Defend the Truth? Automatic Dialectical Evaluation Elicits LLMs' Deficiencies in Reasoning.
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023
A Deeping-Learning-Based Foreign Object Inspection System Design for Overhead Power Transmission Lines.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
CoRR, 2022
Improving Stability of Line Inspection Robot During Crossing Jumper Lines With a Centroid Adjustment Adjusting Mechanism.
IEEE Access, 2022
Automatic Obstacle-Crossing Planning for a Transmission Line Inspection Robot Based on Multisensor Fusion.
IEEE Access, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022
2021
Tensor decomposition with relational constraints for predicting multiple types of microRNA-disease associations.
Briefings Bioinform., 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Bioinform., 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation.
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020
2019
Prediction of drug-disease associations based on ensemble meta paths and singular value decomposition.
BMC Bioinform., 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
LncRNA-miRNA interaction prediction from the heterogeneous network through graph embedding ensemble learning.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions.
PLoS Comput. Biol., 2018
J. Biomed. Informatics, 2018
Predicting drug-disease associations by using similarity constrained matrix factorization.
BMC Bioinform., 2018
BMC Bioinform., 2018
Prediction of Drug-Disease Associations and Their Effects by Signed Network-Based Nonnegative Matrix Factorization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
A unified frame of predicting side effects of drugs by using linear neighborhood similarity.
BMC Syst. Biol., 2017
Predicting drug-disease associations based on the known association bipartite network.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
2015
Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015