Xiaotao Gu

According to our database1, Xiaotao Gu authored at least 36 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
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15
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6
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1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models.
CoRR, January, 2025

2024
VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation.
CoRR, 2024

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models.
CoRR, 2024

CogVLM2: Visual Language Models for Image and Video Understanding.
CoRR, 2024

LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models.
CoRR, 2024

VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents.
CoRR, 2024

CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.
CoRR, 2024

Benchmarking Complex Instruction-Following with Multiple Constraints Composition.
CoRR, 2024

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.
CoRR, 2024

NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts.
CoRR, 2024

Benchmarking Complex Instruction-Following with Multiple Constraints Composition.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion.
Proceedings of the Computer Vision - ECCV 2024, 2024

NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

AlignBench: Benchmarking Chinese Alignment of Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
OAG: Linking Entities Across Large-Scale Heterogeneous Knowledge Graphs.
IEEE Trans. Knowl. Data Eng., September, 2023

Accurate medium-range global weather forecasting with 3D neural networks.
Nat., 2023

Towards AGI in Computer Vision: Lessons Learned from GPT and Large Language Models.
CoRR, 2023

Pipeline MoE: A Flexible MoE Implementation with Pipeline Parallelism.
CoRR, 2023

2022
Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast.
CoRR, 2022

Phrase-aware Unsupervised Constituency Parsing.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
On the Transformer Growth for Progressive BERT Training.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

UCPhrase: Unsupervised Context-aware Quality Phrase Tagging.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Generating Representative Headlines for News Stories.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

OAG: Toward Linking Large-scale Heterogeneous Entity Graphs.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning Dynamic Context Augmentation for Global Entity Linking.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Profiling Web users using big data.
Soc. Netw. Anal. Min., 2018

Learning Named Entity Tagger using Domain-Specific Dictionary.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

End-to-End Reinforcement Learning for Automatic Taxonomy Induction.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2016
Large-scale Validation of Counterfactual Learning Methods: A Test-Bed.
CoRR, 2016

Web user profiling using data redundancy.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016


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