Benyou Wang

Orcid: 0000-0002-1501-9914

According to our database1, Benyou Wang authored at least 98 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Few-Shot Class-Incremental Learning for Medical Time Series Classification.
IEEE J. Biomed. Health Informatics, April, 2024

Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation.
ACM Trans. Inf. Syst., March, 2024

Pre-trained Language Models in Biomedical Domain: A Systematic Survey.
ACM Comput. Surv., March, 2024

A Survey of Quantum-cognitively Inspired Sentiment Analysis Models.
ACM Comput. Surv., January, 2024

Document-level Relation Extraction with Relation Correlations.
Neural Networks, 2024

LLMs for Doctors: Leveraging Medical LLMs to Assist Doctors, Not Replace Them.
CoRR, 2024

LLMs Could Autonomously Learn Without External Supervision.
CoRR, 2024

MotionLLM: Understanding Human Behaviors from Human Motions and Videos.
CoRR, 2024

Boosting Protein Language Models with Negative Sample Mining.
CoRR, 2024

ORLM: Training Large Language Models for Optimization Modeling.
CoRR, 2024

Mixture of Experts Using Tensor Products.
CoRR, 2024

Mamo: a Mathematical Modeling Benchmark with Solvers.
CoRR, 2024

Evaluating LLMs at Evaluating Temporal Generalization.
CoRR, 2024

Smurfs: Leveraging Multiple Proficiency Agents with Context-Efficiency for Tool Planning.
CoRR, 2024

MileBench: Benchmarking MLLMs in Long Context.
CoRR, 2024

No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks.
CoRR, 2024

Online Training of Large Language Models: Learn while chatting.
CoRR, 2024

Apollo: An Lightweight Multilingual Medical LLM towards Democratizing Medical AI to 6B People.
CoRR, 2024

MathScale: Scaling Instruction Tuning for Mathematical Reasoning.
CoRR, 2024

Rethinking The Uniformity Metric in Self-Supervised Learning.
CoRR, 2024

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models.
CoRR, 2024

The FinBen: An Holistic Financial Benchmark for Large Language Models.
CoRR, 2024

ALLaVA: Harnessing GPT4V-synthesized Data for A Lite Vision-Language Model.
CoRR, 2024

Humans or LLMs as the Judge? A Study on Judgement Biases.
CoRR, 2024

Pushing The Limit of LLM Capacity for Text Classification.
CoRR, 2024

2023
Silkie: Preference Distillation for Large Visual Language Models.
CoRR, 2023

MLLM-Bench, Evaluating Multi-modal LLMs using GPT-4V.
CoRR, 2023

HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs.
CoRR, 2023

Outcome-supervised Verifiers for Planning in Mathematical Reasoning.
CoRR, 2023

On Elastic Language Models.
CoRR, 2023

DialogueLLM: Context and Emotion Knowledge-Tuned LLaMA Models for Emotion Recognition in Conversations.
CoRR, 2023

AceGPT, Localizing Large Language Models in Arabic.
CoRR, 2023

Large Language Model as a User Simulator.
CoRR, 2023

CMB: A Comprehensive Medical Benchmark in Chinese.
CoRR, 2023

On the Difference of BERT-style and CLIP-style Text Encoders.
CoRR, 2023

Injecting Knowledge into Biomedical Pre-trained Models via Polymorphism and Synonymous Substitution.
CoRR, 2023

Is Information Extraction Solved by ChatGPT? An Analysis of Performance, Evaluation Criteria, Robustness and Errors.
CoRR, 2023

Word Grounded Graph Convolutional Network.
CoRR, 2023

Huatuo-26M, a Large-scale Chinese Medical QA Dataset.
CoRR, 2023

Phoenix: Democratizing ChatGPT across Languages.
CoRR, 2023

A Survey on Biomedical Text Summarization with Pre-trained Language Model.
CoRR, 2023

Nature Language Reasoning, A Survey.
CoRR, 2023

Modular Retrieval for Generalization and Interpretation.
CoRR, 2023

Adapting Pre-trained Language Models for Quantum Natural Language Processing.
CoRR, 2023

CMMA: Benchmarking Multi-Affection Detection in Chinese Multi-Modal Conversations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

HuatuoGPT, Towards Taming Language Model to Be a Doctor.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Lifting the Curse of Capacity Gap in Distilling Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

One Cannot Stand for Everyone! Leveraging Multiple User Simulators to train Task-oriented Dialogue Systems.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

On the Difference of BERT-style and CLIP-style Text Encoders.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Complex-valued Neural Network-based Quantum Language Models.
ACM Trans. Inf. Syst., 2022

Document-level Relation Extraction with Relation Correlations.
CoRR, 2022

MorphTE: Injecting Morphology in Tensorized Embeddings.
CoRR, 2022

Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation.
CoRR, 2022

Doge Tickets: Uncovering Domain-General Language Models by Playing Lottery Tickets.
Proceedings of the Natural Language Processing and Chinese Computing, 2022

MorphTE: Injecting Morphology in Tensorized Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Exploring extreme parameter compression for pre-trained language models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Hypoformer: Hybrid Decomposition Transformer for Edge-friendly Neural Machine Translation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DPTDR: Deep Prompt Tuning for Dense Passage Retrieval.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
CFN: A Complex-Valued Fuzzy Network for Sarcasm Detection in Conversations.
IEEE Trans. Fuzzy Syst., 2021

Pre-trained Language Models in Biomedical Domain: A Systematic Survey.
CoRR, 2021

Word2Fun: Modelling Words as Functions for Diachronic Word Representation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Sequential Modeling in Vector Space.
Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

On Position Embeddings in BERT.
Proceedings of the 9th International Conference on Learning Representations, 2021

What Does Your Smile Mean? Jointly Detecting Multi-Modal Sarcasm and Sentiment Using Quantum Probability.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Exploration of University Students' Mobility Behavior on Campus.
Proceedings of the CONF-CDS 2021: The 2nd International Conference on Computing and Data Science, 2021

2020
Leveraging Long and Short-Term Information in Content-Aware Movie Recommendation via Adversarial Training.
IEEE Trans. Cybern., 2020

A distant supervision method based on paradigmatic relations for learning word embeddings.
Neural Comput. Appl., 2020

Encoding word order in complex embeddings.
Proceedings of the 8th International Conference on Learning Representations, 2020

University of Padova @ DIACR-Ita (short paper).
Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020), 2020

A Multi-task Learning Framework for Opinion Triplet Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Meta-Learning for Neural Relation Classification with Distant Supervision.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Detection of Network Intrusion Threat Based on the Probabilistic Neural Network Model.
Inf. Technol. Control., December, 2019

Semantic Hilbert Space for Text Representation Learning.
Proceedings of the World Wide Web Conference, 2019

Dynamic Content Monitoring and Exploration using Vector Spaces.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

CNM: An Interpretable Complex-valued Network for Matching.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018
A quantum-inspired multimodal sentiment analysis framework.
Theor. Comput. Sci., 2018

TextZoo, a New Benchmark for Reconsidering Text Classification.
CoRR, 2018

Detection of subtype blood cells using deep learning.
Cogn. Syst. Res., 2018

Quantum-Inspired Complex Word Embedding.
Proceedings of The Third Workshop on Representation Learning for NLP, 2018

A Multi-task Learning Approach for Image Captioning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Quantum Many-body Wave Function Inspired Language Modeling Approach.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Full Cycle Campus Life of College Students: A Big Data Case in China.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

End-to-End Quantum-like Language Models with Application to Question Answering.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Learning to diversify web search results with a Document Repulsion Model.
Inf. Sci., 2017

Regularizing Neural Networks via Retaining Confident Connections.
Entropy, 2017

Leveraging Long and Short-term Information in Content-aware Movie Recommendation.
CoRR, 2017

IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Enhanced Embedding Based Attentive Pooling Network for Answer Selection.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

How Users Select Query Suggestions Under Different Satisfaction States?
Proceedings of the Information Retrieval - 23rd China conference, 2017

2016
A Quantum Query Expansion Approach for Session Search.
Entropy, 2016

Exploration of Quantum Interference in Document Relevance Judgement Discrepancy.
Entropy, 2016

A Chinese Question Answering Approach Integrating Count-Based and Embedding-Based Features.
Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

2015
A Real-Time Eye Tracking Based Query Expansion Approach via Latent Topic Modeling.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015


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