Yang Gao

Orcid: 0000-0002-2422-0548

Affiliations:
  • Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China
  • Queensland University of Technology, Brisbane, Australia (PhD 2015)


According to our database1, Yang Gao authored at least 86 papers between 2013 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
How Far Are We? Systematic Evaluation of LLMs vs. Human Experts in Mathematical Contest in Modeling.
CoRR, April, 2026

Fundamental Capabilities and Applications of Large Language Models: A Survey.
ACM Comput. Surv., January, 2026

Dynamic token halting for efficient abstractive summarization with importance-aware regularization.
Knowl. Based Syst., 2026

Fusing generation task data to enhance generalization of LLMs in zero-shot relational triplet extraction.
Expert Syst. Appl., 2026

Simulated Rewards, Skewed Strategies: Tracing the Acquired Preference Bias in LLM-Based Dialogue Planners.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Identifying and Analyzing Performance-Critical Tokens in Large Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Entropy-Guided Reasoning Compression.
CoRR, November, 2025

EduBench: A Comprehensive Benchmarking Dataset for Evaluating Large Language Models in Diverse Educational Scenarios.
CoRR, May, 2025

DRMSpell: dynamically reweighting multimodality for Chinese spelling correction.
Frontiers Inf. Technol. Electron. Eng., March, 2025

Extrapolation Merging: Keep Improving With Extrapolation and Merging.
CoRR, March, 2025

Enhancing consistency with the fusion of paralleled decoders for text generation.
Inf. Fusion, 2025

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Unveiling and Addressing Pseudo Forgetting in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Domain Adaptation and Summary Distillation for Unsupervised Query Focused Summarization.
IEEE Trans. Knowl. Data Eng., March, 2024

Latent representation discretization for unsupervised text style generation.
Inf. Process. Manag., March, 2024

Imaging multiple magnetized anomalies by geomagnetic monitoring.
J. Comput. Phys., February, 2024

Building knowledge-grounded dialogue systems with graph-based semantic modelling.
Knowl. Based Syst., 2024

RS-BERT: Pre-training radical enhanced sense embedding for Chinese word sense disambiguation.
Inf. Process. Manag., 2024

METEOR: Evolutionary Journey of Large Language Models from Guidance to Self-Growth.
CoRR, 2024

Reviving Dormant Memories: Investigating Catastrophic Forgetting in Language Models through Rationale-Guidance Difficulty.
CoRR, 2024

PSPO*: An Effective Process-supervised Policy Optimization for Reasoning Alignment.
CoRR, 2024

Analyzing Task-Encoding Tokens in Large Language Models.
CoRR, 2024

MindLLM: Lightweight large language model pre-training, evaluation and domain application.
AI Open, 2024

Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative Understanding.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Fundamental Capabilities of Large Language Models and their Applications in Domain Scenarios: A Survey.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Word Matters: What Influences Domain Adaptation in Summarization?
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Query focused summarization via relevance distillation.
Neural Comput. Appl., August, 2023

TopicBERT: A Topic-Enhanced Neural Language Model Fine-Tuned for Sentiment Classification.
IEEE Trans. Neural Networks Learn. Syst., 2023

Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue.
CoRR, 2023

MindLLM: Pre-training Lightweight Large Language Model from Scratch, Evaluations and Domain Applications.
CoRR, 2023

Locating multiple magnetized anomalies by geomagnetic monitoring.
CoRR, 2023

DePA: Improving Non-autoregressive Translation with Dependency-Aware Decoder.
Proceedings of the 20th International Conference on Spoken Language Translation, 2023

Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Unsupervised Style Transfer in News Headlines via Discrete Style Space.
Proceedings of the Chinese Computational Linguistics - 22nd China National Conference, 2023

Ask to Understand: Question Generation for Multi-hop Question Answering.
Proceedings of the Chinese Computational Linguistics - 22nd China National Conference, 2023

TemplateGEC: Improving Grammatical Error Correction with Detection Template.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Interpretable modular knowledge reasoning for machine reading comprehension.
Neural Comput. Appl., 2022

Improving neural topic modeling via Sinkhorn divergence.
Inf. Process. Manag., 2022

G<sup>2</sup>: Enhance Knowledge Grounded Dialogue via Ground Graph.
CoRR, 2022

PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization.
CoRR, 2022

Non-autoregressive Translation with Dependency-Aware Decoder.
CoRR, 2022

TCM-SD: A Large Dataset for Syndrome Differentiation in Traditional Chinese Medicine.
CoRR, 2022

Unifying Cross-lingual Summarization and Machine Translation with Compression Rate.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Stage-wise Stylistic Headline Generation: Style Generation and Summarized Content Insertion.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Prototype-Based Few-Shot Named Entity Recognition.
Proceedings of the ICCAI '22: 8th International Conference on Computing and Artificial Intelligence, Tianjin, China, March 18, 2022

PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

TCM-SD: A Benchmark for Probing Syndrome Differentiation via Natural Language Processing.
Proceedings of the Chinese Computational Linguistics - 21st China National Conference, 2022

2021
A Fuzzy Word Similarity Measure for Selecting Top-$k$ Similar Words in Query Expansion.
IEEE Trans. Fuzzy Syst., 2021

Extracting salient features from convolutional discriminative filters.
Inf. Sci., 2021

SKR-QA: Semantic ranking and knowledge revise for multi-choice question answering.
Neurocomputing, 2021

Bridging the Gap: Cross-Lingual Summarization with Compression Rate.
CoRR, 2021

Query-focused Abstractive Summarization via Question-answering Model.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

To be Closer: Learning to Link up Aspects with Opinions.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Prediction or Comparison: Toward Interpretable Qualitative Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Cross-Lingual Abstractive Summarization with Limited Parallel Resources.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Exploring Explainable Selection to Control Abstractive Summarization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Jointly Learning Topics in Sentence Embedding for Document Summarization.
IEEE Trans. Knowl. Data Eng., 2020

A Discriminative Convolutional Neural Network with Context-aware Attention.
ACM Trans. Intell. Syst. Technol., 2020

Neural abstractive summarization fusing by global generative topics.
Neural Comput. Appl., 2020

2019
An input information enhanced model for relation extraction.
Neural Comput. Appl., 2019

Mapping sentences to concept transferred space for semantic textual similarity.
Knowl. Inf. Syst., 2019

Neural Variational Correlated Topic Modeling.
Proceedings of the World Wide Web Conference, 2019

Multiple Perspective Answer Reranking for Multi-passage Reading Comprehension.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Concept Pointer Network for Abstractive Summarization.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Sharing Pre-trained BERT Decoder for a Hybrid Summarization.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

2018
Extending Embedding Representation by Incorporating Latent Relations.
IEEE Access, 2018

Task-oriented Word Embedding for Text Classification.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Finding Semantically Valid and Relevant Topics by Association-Based Topic Selection Model.
ACM Trans. Intell. Syst. Technol., 2017

Conceptual annotation of text patterns.
Comput. Intell., 2017

Topical Sentence Embedding for Query Focused Document Summarization.
Proceedings of the IJCAI Workshop on Semantic Machine Learning (SML 2017) co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

Enhanced word embedding similarity measures using fuzzy rules for query expansion.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Leveraging Pattern Associations for Word Embedding Models.
Proceedings of the Database Systems for Advanced Applications, 2017

Conceptual Multi-layer Neural Network Model for Headline Generation.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2017

Aligning Gaussian-Topic with Embedding Network for Summarization Ranking.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

2016
A Framework for Automatic Personalised Ontology Learning.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

2015
Pattern-based Topics for Document Modelling in Information Filtering.
IEEE Trans. Knowl. Data Eng., 2015

Mining Topical Relevant Patterns for Multi-document Summarization.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

2014
A topic based document relevance ranking model.
Proceedings of the 23rd International World Wide Web Conference, 2014

Topical Pattern Based Document Modelling and Relevance Ranking.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Pattern-based Topic Modelling for Query Expansion.
Proceedings of the Twelfth Australasian Data Mining Conference, AusDM 2014, Brisbane, 2014

2013
A Two-Stage Approach for Generating Topic Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Pattern-Based Topic Models for Information Filtering.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013


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