Jianguo Zhang
Orcid: 0000-0002-0214-6041Affiliations:
- University of Illinois at Chicago, Department of Computer Science, IL, USA
According to our database1,
Jianguo Zhang
authored at least 26 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System.
CoRR, 2024
CoRR, 2024
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
2023
DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation.
CoRR, 2023
CoRR, 2023
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation.
CoRR, 2022
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022
Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection.
Proceedings of the 4th Workshop on NLP for Conversational AI, 2022
2021
Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection.
CoRR, 2021
Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation.
CoRR, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
2020
MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselines.
CoRR, 2020
Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking.
Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics, 2020
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
2019
Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2018