Feng Nan
19 papers · 2015–2026 · 9 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.
Achievements
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πΊοΈ Taxonomy Completionist (50) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π€
Dynamic Duo
(10)
π§¬
Topic Evolution
π
Keyword Champion
π§
Keyword Pioneer
π₯
Mega-Team Β· Squad
β
The Questioner
ποΈ
Keyword Collector
(114)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
Top co-authors
Research topics
Natural Language Processing
(11)
Machine Learning
(10)
Artificial Intelligence
(8)
Generation
(8)
Deep Learning
(7)
Core Methods
(7)
Applications
(6)
Core AI
(6)
Application Areas
(5)
Learning Types Β· Machine Learning
(5)
Architectures
(4)
Learning Types Β· Deep Learning
(4)
Learning Paradigms
(3)
Models
(2)
Resources & Methods
(2)
Keywords
text generation
(4)
question answering
(3)
abstractive summarization
(3)
named entity recognition
(2)
contrastive learning
(2)
factual consistency
(2)
tool use
(2)
domain adaptation
(2)
random forest
(2)
large language model
(2)
language model
(2)
cross-lingual transfer
(1)
variational inference
(1)
information extraction
(1)
natural language inference
(1)
few-shot learning
(1)
representation learning
(1)
feature selection
(1)
code generation
(1)
unsupervised clustering
(1)
Papers
SO-Bench: A Structural Output Evaluation of Multimodal LLM
CVPR 2026
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains
NAACL 2025
ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities
NAACL 2025
ContraCLM: Contrastive Learning For Causal Language Model
ACL 2023
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization
EACL 2023
SWING: Balancing Coverage and Faithfulness for Dialogue Summarization
EACL 2023
Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering
AAAI 2022
Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation
COLING 2022
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction
ACL 2021
Entity-level Factual Consistency of Abstractive Text Summarization
EACL 2021
Improving Factual Consistency of Abstractive Summarization via Question Answering
ACL 2021
Supporting Clustering with Contrastive Learning
NAACL 2021
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems
EMNLP 2020
Margin-aware Unsupervised Domain Adaptation for Cross-lingual Text Labeling
EMNLP 2020
Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer
AAAI 2020
Topic Modeling with Wasserstein Autoencoders
ACL 2019
Adaptive Classification for Prediction Under a Budget
NeurIPS 2017
Pruning Random Forests for Prediction on a Budget
NeurIPS 2016
Feature-Budgeted Random Forest
ICML 2015