Feng Nan
20 papers · 2015–2025 · 9 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (7) 🏃 Academic Marathon (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (5)
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Conference Polyglot
(9)
🏃
Academic Marathon
(10)
🌈
Renaissance Researcher
(5)
👥
Mega-Team
(24)
🤝
Dynamic Duo
(12)
🧬
Topic Evolution
💎
Century Club
(20)
📈
Trend Setter
❓
The Questioner
⚡
Prolific Year
(6)
🗃️
Keyword Collector
(109)
🔥
Unstoppable
(5)
Conferences
ACL (4)
EACL (3)
NAACL (3)
AAAI (2)
EMNLP (2)
IJCNLP (2)
NIPS (2)
COLING (1)
ICML (1)
Top co-authors
Keywords
abstractive summarization
(4)
text generation
(4)
question answering
(4)
factual consistency
(3)
question disambiguation
(2)
named entity recognition
(2)
language model
(2)
open-domain question answering
(2)
automatic evaluation metric
(2)
tool use
(2)
large language model
(2)
round-trip prediction
(2)
ambiguous question answering
(2)
random forest
(2)
evidence fusion
(2)
domain adaptation
(2)
contrastive learning
(2)
variational inference
(1)
cross-lingual transfer
(1)
natural language inference
(1)
Papers
ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities
NAACL 2025
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains
NAACL 2025
SWING: Balancing Coverage and Faithfulness for Dialogue Summarization
EACL 2023
ContraCLM: Contrastive Learning For Causal Language Model
ACL 2023
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization
EACL 2023
Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation
COLING 2022
Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering
AAAI 2022
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction
IJCNLP 2021
Entity-level Factual Consistency of Abstractive Text Summarization
EACL 2021
Supporting Clustering with Contrastive Learning
NAACL 2021
Improving Factual Consistency of Abstractive Summarization via Question Answering
ACL 2021
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction
ACL 2021
Improving Factual Consistency of Abstractive Summarization via Question Answering
IJCNLP 2021
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems
EMNLP 2020
Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer
AAAI 2020
Margin-aware Unsupervised Domain Adaptation for Cross-lingual Text Labeling
EMNLP 2020
Topic Modeling with Wasserstein Autoencoders
ACL 2019
Adaptive Classification for Prediction Under a Budget
NIPS 2017
Pruning Random Forests for Prediction on a Budget
NIPS 2016
Feature-Budgeted Random Forest
ICML 2015