Bingqing Wang
10 papers · 2010–2026 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (18) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🧭 Keyword Pioneer
❓
The Questioner
💎
Century Club · Bronze
Top co-authors
Research topics
Artificial Intelligence
(6)
Natural Language Processing
(6)
Core AI
(6)
Machine Learning
(3)
Generation
(3)
Deep Learning
(2)
Core Methods
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Application Areas
(1)
Applications · Data Science & Analytics
(1)
Applications · Natural Language Processing
(1)
Applications · Computer Science
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Keywords
abstractive summarization
(3)
large language model
(3)
text generation
(3)
natural language generation
(2)
information extraction
(1)
extractive summarization
(1)
named entity recognition
(1)
language modeling
(1)
weak supervision
(1)
synthetic data generation
(1)
knowledge graph
(1)
retrieval-augmented generation
(1)
context window
(1)
hallucination detection
(1)
retriever model
(1)
recommender system
(1)
explainable recommendation
(1)
multi-document summarization
(1)
neural encoder-decoder
(1)
rule augmentation
(1)
Papers
ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers
EACL 2026
Multi-Step Generation of Test Specifications using Large Language Models for System-Level Requirements
ACL 2025
CoAug: Combining Augmentation of Labels and Labelling Rules
ACL 2023
DelucionQA: Detecting Hallucinations in Domain-specific Question Answering
EMNLP 2023
Knowledge-Grounded Natural Language Recommendation Explanation
EMNLP 2023
A New Approach to Overgenerating and Scoring Abstractive Summaries
NAACL 2021
Modeling Endorsement for Multi-Document Abstractive Summarization
EMNLP 2021
Controlling the Amount of Verbatim Copying in Abstractive Summarization
AAAI 2020
Insertion, Deletion, or Substitution? Normalizing Text Messages without Pre-categorization nor Supervision
ACL 2011
Contextual Recommendation based on Text Mining
COLING 2010