Junjie Hu

Orcid: 0000-0001-7137-7719

Affiliations:
  • University of Wisconsin-Madison, Madison, WI, USA
  • Carnegie Mellon University, School of Computer Science, Language Technologies Institute, Pittsburgh, PA, USA (former)
  • Chinese University of Hong Kong, Hong Kong (former)
  • South China University of Technology, School of Computer Science and Engineering, Guangzhou, China (former)


According to our database1, Junjie Hu authored at least 76 papers between 2012 and 2025.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Online presence:

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Bibliography

2025
AI as a deliberative partner fosters intercultural empathy for Americans but fails for Latin American participants.
CoRR, April, 2025

Vision-Language Modeling in PET/CT for Visual Grounding of Positive Findings.
CoRR, February, 2025

Probing LLM World Models: Enhancing Guesstimation with Wisdom of Crowds Decoding.
CoRR, January, 2025

No Preference Left Behind: Group Distributional Preference Optimization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
MetaWriter: Exploring the Potential and Perils of AI Writing Support in Scientific Peer Review.
Proc. ACM Hum. Comput. Interact., 2024

Large Language Models Are Active Critics in NLG Evaluation.
CoRR, 2024

COMMA: A Communicative Multimodal Multi-Agent Benchmark.
CoRR, 2024

How Well Do LLMs Identify Cultural Unity in Diversity?
CoRR, 2024

LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback.
CoRR, 2024

PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling.
CoRR, 2024

DeTox: Toxic Subspace Projection for Model Editing.
CoRR, 2024

Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation Network.
CoRR, 2024

Mitigating Fine-tuning Jailbreak Attack with Backdoor Enhanced Alignment.
CoRR, 2024

FEUDA: Frustratingly Easy Prompt Based Unsupervised Domain Adaptation.
CoRR, 2024

Prompting Large Vision-Language Models for Compositional Reasoning.
CoRR, 2024

BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Simulating Opinion Dynamics with Networks of LLM-based Agents.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Benchmarking Machine Translation with Cultural Awareness.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Learning Label Hierarchy with Supervised Contrastive Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Lookahead Exploration with Neural Radiance Representation for Continuous Vision-Language Navigation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

OLIVE: Object Level In-Context Visual Embeddings.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Video Pivoting Unsupervised Multi-Modal Machine Translation.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Evaluating LLM Agent Group Dynamics against Human Group Dynamics: A Case Study on Wisdom of Partisan Crowds.
CoRR, 2023

Evolving Domain Adaptation of Pretrained Language Models for Text Classification.
CoRR, 2023

CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model.
CoRR, 2023

Automatic Personalized Impression Generation for PET Reports Using Large Language Models.
CoRR, 2023

Multimodal Prompt Retrieval for Generative Visual Question Answering.
CoRR, 2023

Empowering LLM-based Machine Translation with Cultural Awareness.
CoRR, 2023

ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax.
CoRR, 2023

Domain-adapted large language models for classifying nuclear medicine reports.
CoRR, 2023

Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Retrieving Multimodal Prompts for Generative Visual Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Leveraging Word and Phrase Alignments for Multilingual Learning
PhD thesis, 2022

MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages.
CoRR, 2022

Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

DEEP: DEnoising Entity Pre-training for Neural Machine Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation.
CoRR, 2021

Phrase-level Active Learning for Neural Machine Translation.
Proceedings of the Sixth Conference on Machine Translation, 2021

Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Explicit Alignment Objectives for Multilingual Bidirectional Encoders.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization.
CoRR, 2020

XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation.
Proceedings of the 37th International Conference on Machine Learning, 2020

On Learning Language-Invariant Representations for Universal Machine Translation.
Proceedings of the 37th International Conference on Machine Learning, 2020

TICO-19: the Translation Initiative for COvid-19.
Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

What Makes A Good Story? Designing Composite Rewards for Visual Storytelling.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
The ARIEL-CMU Systems for LoReHLT18.
CoRR, 2019

compare-mt: A Tool for Holistic Comparison of Language Generation Systems.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Handling Syntactic Divergence in Low-resource Machine Translation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Domain Differential Adaptation for Neural Machine Translation.
Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019

Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Hybrid Retrieval-Generation Neural Conversation Model.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Deep Generative and Discriminative Domain Adaptation.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Domain Adaptation of Neural Machine Translation by Lexicon Induction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Online Nonlinear AUC Maximization for Imbalanced Data Sets.
IEEE Trans. Neural Networks Learn. Syst., 2018

Contextual Encoding for Translation Quality Estimation.
Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018

Rapid Adaptation of Neural Machine Translation to New Languages.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Automatic Estimation of Simultaneous Interpreter Performance.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Principled Hybrids of Generative and Discriminative Domain Adaptation.
CoRR, 2017

Words or Characters? Fine-grained Gating for Reading Comprehension.
Proceedings of the 5th International Conference on Learning Representations, 2017

Structural Embedding of Syntactic Trees for Machine Comprehension.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Semi-Supervised QA with Generative Domain-Adaptive Nets.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Learning Lexical Entries for Robotic Commands using Crowdsourcing.
CoRR, 2016

2015
AR-Tracker: Track the Dynamics of Mobile Apps via User Review Mining.
Proceedings of the 2015 IEEE Symposium on Service-Oriented System Engineering, 2015

Kernelized Online Imbalanced Learning with Fixed Budgets.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Exploiting homophily-based implicit social network to improve recommendation performance.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2012
Active learning for imbalance problem using L-GEM of RBFNN.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012


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