Nuo Chen

49 papers · 2021–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (12) 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (103) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (10) 🌍 Conference Polyglot (11) 🏃 Academic Marathon (5) 🤝 Dynamic Duo (14) 🧬 Topic Evolution 💎 Century Club (47) ❓ The Questioner (3) ⚡ Prolific Year (5) 🗃️ Keyword Collector (241) 🔥 Unstoppable (5)

Conferences

EMNLP (13) ACL (10) AAAI (5) COLING (5) INTERSPEECH (4) NAACL (4) CVPR (3) ICLR (2) ICCV (1) IJCAI (1) NIPS (1)

Top co-authors

Jia Li (14) Qiushi Sun (9) Yuexian Zou (8) Xiang Li (8) Ming Gao (8) Jianing Wang (5) Ming Gong (5) Linjun Shou (5) Chenyu You (5) Renyu Zhu (4)

Research topics

Reinforcement Learning (1)

Keywords

large language model (14) attention mechanism (6) contrastive learning (6) pre-trained language model (5) representation learning (5) question answering (4) code pre-trained model (4) cross-lingual transfer (4) graph neural network (3) benchmark evaluation (3) knowledge distillation (3) spoken question answering (3) mathematical reasoning (3) multi-agent system (3) few-shot learning (3) adversarial attack (3) abstract syntax tree (3) transfer learning (3) multimodal learning (2) text generation (2)

Papers

ExtendAttack: Attacking Servers of LRMs via Extending Reasoning AAAI 2026

CoGenSAM: Codebook-Interactive Generative Labeling for Adapting SAM to Crack Segmentation AAAI 2026

GraphArena: Evaluating and Exploring Large Language Models on Graph Computation ICLR 2025

Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations COLING 2025

DRBO: Mitigating the Bottleneck Effect via Dynamic Reward Balancing in Multi-reward LLM Optimization EMNLP 2025

Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts ICLR 2025

Explainable Saliency: Articulating Reasoning with Contextual Prioritization CVPR 2025

How does Misinformation Affect Large Language Model Behaviors and Preferences? ACL 2025

Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps ACL 2025

MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs ACL 2025

RelEdit: Evaluating Conceptual Knowledge Editing in Language Models via Relational Reasoning ACL 2025

CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era ACL 2025

Is Your LLM Outdated? A Deep Look at Temporal Generalization NAACL 2025

Event-based Tiny Object Detection: A Benchmark Dataset and Baseline ICCV 2025

MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria NAACL 2025

CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading EMNLP 2024

ChatDev: Communicative Agents for Software Development ACL 2024

From Good to Great: Improving Math Reasoning with Tool-Augmented Interleaf Prompting ACL 2024

Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives COLING 2024

Structure-aware Fine-tuning for Code Pre-trained Models COLING 2024

TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills COLING 2024

Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset CVPR 2024

Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections NIPS 2024

ControlMath: Controllable Data Generation Promotes Math Generalist Models EMNLP 2024

Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations EMNLP 2024

Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation EMNLP 2024

Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding EMNLP 2023

Natural Response Generation for Chinese Reading Comprehension EMNLP 2023

Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation EMNLP 2023

Orca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension EMNLP 2023

Alleviating Over-smoothing for Unsupervised Sentence Representation ACL 2023

Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax AAAI 2023

FiTs: Fine-Grained Two-Stage Training for Knowledge-Aware Question Answering AAAI 2023

Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection With Single Point Supervision CVPR 2023

Structural Contrastive Pretraining for Cross-Lingual Comprehension ACL 2023

When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario ACL 2023

Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning EMNLP 2023

Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters EMNLP 2023

CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure EMNLP 2022

Automatic Prosody Annotation with Pre-Trained Text-Speech Model INTERSPEECH 2022

Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling NAACL 2022

From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension AAAI 2022

End-to-end Spoken Conversational Question Answering: Task, Dataset and Model NAACL 2022

A Transformer-based Threshold-Free Framework for Multi-Intent NLU COLING 2022

Self-Supervised Dialogue Learning for Spoken Conversational Question Answering INTERSPEECH 2021

Contextualized Attention-Based Knowledge Transfer for Spoken Conversational Question Answering INTERSPEECH 2021

Text Anchor Based Metric Learning for Small-Footprint Keyword Spotting INTERSPEECH 2021

MRD-Net: Multi-Modal Residual Knowledge Distillation for Spoken Question Answering IJCAI 2021

Self-supervised Contrastive Cross-Modality Representation Learning for Spoken Question Answering EMNLP 2021