Nuo Chen
52 papers · 2021–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Machine Learning
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large language model
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attention mechanism
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contrastive learning
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representation learning
(5)
pre-trained language model
(5)
code pre-trained model
(4)
benchmark evaluation
(4)
cross-lingual transfer
(4)
question answering
(4)
multi-agent system
(3)
graph neural network
(3)
knowledge distillation
(3)
multimodal learning
(3)
few-shot learning
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abstract syntax tree
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transfer learning
(3)
mathematical reasoning
(3)
adversarial attack
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spoken question answering
(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
Towards Persistence: Learning Topological Constraints for Event-based Small Object Detection
CVPR 2026
XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration
ACL 2026
CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era
ACL 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
Event-based Tiny Object Detection: A Benchmark Dataset and Baseline
ICCV 2025
Explainable Saliency: Articulating Reasoning with Contextual Prioritization
CVPR 2025
GraphArena: Evaluating and Exploring Large Language Models on Graph Computation
ICLR 2025
How does Misinformation Affect Large Language Model Behaviors and Preferences?
ACL 2025
Is Your LLM Outdated? A Deep Look at Temporal Generalization
NAACL 2025
MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs
ACL 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
Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps
ACL 2025
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections
NeurIPS 2024
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations
EMNLP 2024
ChatDev: Communicative Agents for Software Development
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
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
Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset
CVPR 2024
Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation
EMNLP 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
Alleviating Over-smoothing for Unsupervised Sentence Representation
ACL 2023
Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation
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
Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters
EMNLP 2023
Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection With Single Point Supervision
CVPR 2023
Natural Response Generation for Chinese Reading Comprehension
EMNLP 2023
Orca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension
EMNLP 2023
Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning
EMNLP 2023
Structural Contrastive Pretraining for Cross-Lingual Comprehension
ACL 2023
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding
EMNLP 2023
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario
ACL 2023
A Transformer-based Threshold-Free Framework for Multi-Intent NLU
COLING 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
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
From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension
AAAI 2022
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
Self-Supervised Dialogue Learning for Spoken Conversational Question Answering
Interspeech 2021
Text Anchor Based Metric Learning for Small-Footprint Keyword Spotting
Interspeech 2021