Xiubo Geng

Orcid: 0000-0001-6477-7933

According to our database1, Xiubo Geng authored at least 63 papers between 2007 and 2024.

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Bibliography

2024
Fine-Grained Distillation for Long Document Retrieval.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
MGRC: An End-to-End Multigranularity Reading Comprehension Model for Question Answering.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

Semantic matching in machine reading comprehension: An empirical study.
Inf. Process. Manag., 2023

Good Questions Help Zero-Shot Image Reasoning.
CoRR, 2023

Thread of Thought Unraveling Chaotic Contexts.
CoRR, 2023

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct.
CoRR, 2023

WizardCoder: Empowering Code Large Language Models with Evol-Instruct.
CoRR, 2023

Knowledge Refinement via Interaction Between Search Engines and Large Language Models.
CoRR, 2023

Augmented Large Language Models with Parametric Knowledge Guiding.
CoRR, 2023

Large Language Models are Strong Zero-Shot Retriever.
CoRR, 2023

WizardLM: Empowering Large Language Models to Follow Complex Instructions.
CoRR, 2023

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective.
CoRR, 2023

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval.
CoRR, 2023

LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval.
Proceedings of the ACM Web Conference 2023, 2023

UnifieR: A Unified Retriever for Large-Scale Retrieval.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Iterative Proposal Refinement for Weakly-Supervised Video Grounding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards Robust Ranker for Text Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

CORE: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

FAA: Fine-grained Attention Alignment for Cascade Document Ranking.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Fine-Grained Distillation for Long Document Retrieval.
CoRR, 2022

Adam: Dense Retrieval Distillation with Adaptive Dark Examples.
CoRR, 2022

KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Few-Shot NLP.
CoRR, 2022

UnifieR: A Unified Retriever for Large-Scale Retrieval.
CoRR, 2022

EventBERT: A Pre-Trained Model for Event Correlation Reasoning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Understand before Answer: Improve Temporal Reading Comprehension via Precise Question Understanding.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Social Norms-Grounded Machine Ethics in Complex Narrative Situation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Multimodal Dialogue Response Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning.
CoRR, 2021

Knowledge-Aware Procedural Text Understanding with Multi-Stage Training.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Pivot-based Candidate Retrieval for Cross-lingual Entity Linking.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Language Scaling: Applications, Challenges and Approaches.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning Neural Templates for Recommender Dialogue System.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Maria: A Visual Experience Powered Conversational Agent.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Reasoning over Entity-Action-Location Graph for Procedural Text Understanding.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Towards Interpretable Reasoning over Paragraph Effects in Situation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering.
CoRR, 2019

Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2015
Learning to Rank from Noisy Data.
ACM Trans. Intell. Syst. Technol., 2015

2014
What makes data robust: a data analysis in learning to rank.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

2012
A noise-tolerant graphical model for ranking.
Inf. Process. Manag., 2012

Optimizing user exploring experience in emerging e-commerce products.
Proceedings of the 21st World Wide Web Conference, 2012

A simple approach to the design of site-level extractors using domain-centric principles.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Selecting optimal training data for learning to rank.
Inf. Process. Manag., 2011

Learning multiple metrics for ranking.
Frontiers Comput. Sci. China, 2011

2010
A New Probabilistic Model for Rank Aggregation.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2008
Query dependent ranking using K-nearest neighbor.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

2007
Feature selection for ranking.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007


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