Nuo Chen
51 papers · 2021–2026 · 11 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (11) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (5)
🌈
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 (12)
AAAI (5)
COLING (5)
INTERSPEECH (4)
NAACL (4)
CVPR (3)
ICLR (2)
ICCV (1)
IJCAI (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(16)
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)
multi-agent system
(3)
knowledge distillation
(3)
spoken question answering
(3)
mathematical reasoning
(3)
multimodal learning
(3)
few-shot learning
(3)
adversarial attack
(3)
abstract syntax tree
(3)
transfer learning
(3)
benchmark evaluation
(3)
text generation
(2)
Papers
CoGenSAM: Codebook-Interactive Generative Labeling for Adapting SAM to Crack Segmentation
AAAI 2026
ExtendAttack: Attacking Servers of LRMs via Extending Reasoning
AAAI 2026
MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial Application
ACL 2026
XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration
ACL 2026
Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts
ICLR 2025
GraphArena: Evaluating and Exploring Large Language Models on Graph Computation
ICLR 2025
Is Your LLM Outdated? A Deep Look at Temporal Generalization
NAACL 2025
MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria
NAACL 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
How does Misinformation Affect Large Language Model Behaviors and Preferences?
ACL 2025
MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs
ACL 2025
DRBO: Mitigating the Bottleneck Effect via Dynamic Reward Balancing in Multi-reward LLM Optimization
EMNLP 2025
Event-based Tiny Object Detection: A Benchmark Dataset and Baseline
ICCV 2025
Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations
COLING 2025
Explainable Saliency: Articulating Reasoning with Contextual Prioritization
CVPR 2025
Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps
ACL 2025
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills
COLING 2024
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections
NIPS 2024
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations
EMNLP 2024
Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset
CVPR 2024
From Good to Great: Improving Math Reasoning with Tool-Augmented Interleaf Prompting
ACL 2024
ControlMath: Controllable Data Generation Promotes Math Generalist Models
EMNLP 2024
CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading
EMNLP 2024
ChatDev: Communicative Agents for Software Development
ACL 2024
Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation
EMNLP 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
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding
EMNLP 2023
FiTs: Fine-Grained Two-Stage Training for Knowledge-Aware Question Answering
AAAI 2023
Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax
AAAI 2023
Alleviating Over-smoothing for Unsupervised Sentence Representation
ACL 2023
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario
ACL 2023
Structural Contrastive Pretraining for Cross-Lingual Comprehension
ACL 2023
Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection With Single Point Supervision
CVPR 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
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
Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling
NAACL 2022
CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure
EMNLP 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
From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension
AAAI 2022
Automatic Prosody Annotation with Pre-Trained Text-Speech Model
INTERSPEECH 2022
Self-Supervised Dialogue Learning for Spoken Conversational Question Answering
INTERSPEECH 2021
Text Anchor Based Metric Learning for Small-Footprint Keyword Spotting
INTERSPEECH 2021
Contextualized Attention-Based Knowledge Transfer for Spoken Conversational Question Answering
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