Bin Bi

Orcid: 0000-0003-2207-9146

According to our database1, Bin Bi authored at least 45 papers between 2008 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
UNA: Unifying Alignments of RLHF/PPO, DPO and KTO by a Generalized Implicit Reward Function.
CoRR, 2024

A Comprehensive Survey of LLM Alignment Techniques: RLHF, RLAIF, PPO, DPO and More.
CoRR, 2024

PAFT: A Parallel Training Paradigm for Effective LLM Fine-Tuning.
CoRR, 2024

2023
Achieving Human Parity on Visual Question Answering.
ACM Trans. Inf. Syst., 2023

COPA : Efficient Vision-Language Pre-training through Collaborative Object- and Patch-Text Alignment.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video.
Proceedings of the International Conference on Machine Learning, 2023

BUS : Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections.
CoRR, 2022

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Achieving Human Parity on Visual Question Answering.
CoRR, 2021

Grid-VLP: Revisiting Grid Features for Vision-Language Pre-training.
CoRR, 2021

SemVLP: Vision-Language Pre-training by Aligning Semantics at Multiple Levels.
CoRR, 2021

AliMe DA: A Data Augmentation Framework for Question Answering in Cold-start Scenarios.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

StructuralLM: Structural Pre-training for Form Understanding.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A Unified Pretraining Framework for Passage Ranking and Expansion.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation.
CoRR, 2020

PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation.
CoRR, 2020

Latent Template Induction with Gumbel-CRFs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding.
Proceedings of the 8th International Conference on Learning Representations, 2020

PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Symmetric Regularization based BERT for Pair-wise Semantic Reasoning.
CoRR, 2019

StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding.
CoRR, 2019

IDST at TREC 2019 Deep Learning Track: Deep Cascade Ranking with Generation-based Document Expansion and Pre-trained Language Modeling.
Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

Incorporating External Knowledge into Machine Reading for Generative Question Answering.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Deep Cascade Model for Multi-Document Reading Comprehension.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017
KeyVec: Key-semantics Preserving Document Representations.
CoRR, 2017

2016
Modeling a Retweet Network via an Adaptive Bayesian Approach.
Proceedings of the 25th International Conference on World Wide Web, 2016

2015
Bayesian Modeling for Analyzing Online Content and Users.
PhD thesis, 2015

Learning to Recommend Related Entities to Search Users.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

A universal topic framework (UniZ) and its application in online search.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

2014
Scalable topic-specific influence analysis on microblogs.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Who are experts specializing in landscape photography?: analyzing topic-specific authority on content sharing services.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Inferring the demographics of search users: social data meets search queries.
Proceedings of the 22nd International World Wide Web Conference, 2013

Incorporating popularity in topic models for social network analysis.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Automatically generating descriptions for resources by tag modeling.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
DQR: a probabilistic approach to diversified query recommendation.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
CubeLSI: An effective and efficient method for searching resources in social tagging systems.
Proceedings of the 27th International Conference on Data Engineering, 2011

2009
Collaborative resource discovery in social tagging systems.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Identify Cross-Selling Opportunities via Hybrid Classifier.
Int. J. Data Warehous. Min., 2008


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