Kung-Hsiang Huang
24 papers · 2020–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (9) π Interdisciplinary Bridge π Conference Polyglot (8) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (49)
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Keyword Pioneer
π£
Hot Topic Early Bird
π
Conference Polyglot
(8)
π§¬
Topic Evolution
β‘
Prolific Year
(7)
π
Century Club
(22)
β
The Questioner
(2)
π₯
Unstoppable
(6)
ποΈ
Keyword Collector
(118)
Conferences
ACL (8)
NAACL (7)
EMNLP (3)
COLING (2)
AACL (1)
EACL (1)
IJCNLP (1)
NIPS (1)
Top co-authors
Keywords
large language model
(4)
fake news detection
(4)
knowledge graph
(3)
natural language inference
(3)
event extraction
(3)
text classification
(2)
llm agent
(2)
factual error correction
(2)
web agent
(2)
chart understanding
(2)
misinformation detection
(2)
media bias detection
(2)
information extraction
(2)
named entity recognition
(2)
graph neural network
(2)
document-level extraction
(1)
relation extraction
(1)
natural language processing
(1)
benchmark evaluation
(1)
bias detection
(1)
Papers
GTA: Generating Long-horizon Tasks for Web Agents at Scale
ACL 2026
Donβt Stop Early: Scalable Enterprise Deep Research with Controlled Information Flow and Evidence-Aware Termination
ACL 2026
Evaluating Cultural and Social Awareness of LLM Web Agents
NAACL 2025
Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding
ACL 2025
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback
ACL 2025
M2-TabFact: Multi-Document Multi-Modal Fact Verification with Visual and Textual Representations of Tabular Data
ACL 2025
ManiTweet: A New Benchmark for Identifying Manipulation of News on Social Media
COLING 2025
CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments
NAACL 2025
Benchmarking Deep Search over Heterogeneous Enterprise Data
EMNLP 2025
SafeWorld: Geo-Diverse Safety Alignment
NIPS 2024
Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning
ACL 2024
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles
NAACL 2024
AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation
NAACL 2024
SWING: Balancing Coverage and Faithfulness for Dialogue Summarization
EACL 2023
Zero-shot Faithful Factual Error Correction
ACL 2023
Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation
ACL 2023
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval
COLING 2022
Cross-document Misinformation Detection based on Event Graph Reasoning
NAACL 2022
The Battlefront of Combating Misinformation and Coping with Media Bias
IJCNLP 2022
The Battlefront of Combating Misinformation and Coping with Media Bias
AACL 2022
EventPlus: A Temporal Event Understanding Pipeline
NAACL 2021
Document-level Entity-based Extraction as Template Generation
EMNLP 2021
Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies
NAACL 2021
Biomedical Event Extraction with Hierarchical Knowledge Graphs
EMNLP 2020