We stand with Ukraine

We stand with Ukraine

Nuo Chen

Orcid: 0009-0000-5880-4712

Affiliations:

Hong Kong University of Science and Technology (Guangzhou), China
Hong Kong University of Science and Technology, Hong Kong
Peking University, School of ECE, ADSPLAB, Shenzhen, China (former)

According to our database¹, Nuo Chen authored at least 46 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2026

Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration.

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CoRR, April, 2026

Exposing Weaknesses of Large Reasoning Models through Graph Algorithm Problems.

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CoRR, February, 2026

2025

Improving LLMs' Generalized Reasoning Abilities by Graph Problems.

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CoRR, July, 2025

StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation.

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CoRR, April, 2025

Rewarding Graph Reasoning Process makes LLMs more Generalized Reasoners.

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Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations.

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Proceedings of the 31st International Conference on Computational Linguistics, 2025

GCoder: Improving Large Language Model for Generalized Graph Reasoning.

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Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

How does Misinformation Affect Large Language Model Behaviors and Preferences?

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Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

RelEdit: Evaluating Conceptual Knowledge Editing in Language Models via Relational Reasoning.

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Proceedings of the Findings of the Association for Computational Linguistics, 2025

Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps.

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Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

GCoder: Improving Large Language Model for Generalized Graph Problem Solving.

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CoRR, 2024

ControlMath: Controllable Data Generation Promotes Math Generalist Models.

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CoRR, 2024

GraphWiz: An Instruction-Following Language Model for Graph Problems.

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CoRR, 2024

Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations.

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CoRR, 2024

From Good to Great: Improving Math Reasoning with Tool-Augmented Interleaf Prompting.

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CoRR, 2024

GraphWiz: An Instruction-Following Language Model for Graph Computational Problems.

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Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ControlMath: Controllable Data Generation Promotes Math Generalist Models.

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Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers.

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CoRR, 2023

Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations.

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CoRR, 2023

Improve Retrieval-based Dialogue System via Syntax-Informed Attention.

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CoRR, 2023

Bridge the Gap between Language models and Tabular Understanding.

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CoRR, 2023

Improving Retrieval-Based Dialogue System Via Syntax-Informed Attention.

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Proceedings of the IEEE International Conference on Acoustics, 2023

Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Orca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Natural Response Generation for Chinese Reading Comprehension.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Structural Contrastive Pretraining for Cross-Lingual Comprehension.

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Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Alleviating Over-smoothing for Unsupervised Sentence Representation.

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Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

FiTs: Fine-Grained Two-Stage Training for Knowledge-Aware Question Answering.

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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax.

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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

What would Harry say? Building Dialogue Agents for Characters in a Story.

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CoRR, 2022

Exploring and Exploiting Multi-Granularity Representations for Machine Reading Comprehension.

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CoRR, 2022

End-to-end Spoken Conversational Question Answering: Task, Dataset and Model.

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Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling.

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Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Automatic Prosody Annotation with Pre-Trained Text-Speech Model.

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Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

A Transformer-based Threshold-Free Framework for Multi-Intent NLU.

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Proceedings of the 29th International Conference on Computational Linguistics, 2022

From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension.

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Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

From Good to Best: Two-Stage Training for Cross-lingual Machine Reading Comprehension.

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CoRR, 2021

Contextualized Attention-Based Knowledge Transfer for Spoken Conversational Question Answering.

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Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Text Anchor Based Metric Learning for Small-Footprint Keyword Spotting.

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Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Self-Supervised Dialogue Learning for Spoken Conversational Question Answering.

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Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

MRD-Net: Multi-Modal Residual Knowledge Distillation for Spoken Question Answering.

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Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Knowledge Distillation for Improved Accuracy in Spoken Question Answering.

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Proceedings of the IEEE International Conference on Acoustics, 2021

Adaptive Bi-Directional Attention: Exploring Multi-Granularity Representations for Machine Reading Comprehension.

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Proceedings of the IEEE International Conference on Acoustics, 2021

Self-supervised Contrastive Cross-Modality Representation Learning for Spoken Question Answering.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Towards Data Distillation for End-to-end Spoken Conversational Question Answering.

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CoRR, 2020

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