Philippe Laban
29 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
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Conferences
ACL (10)
EMNLP (8)
NAACL (8)
IJCNLP (2)
ICLR (1)
Top co-authors
Research topics
Keywords
large language model
(8)
text generation
(5)
natural language generation
(5)
text simplification
(4)
retrieval-augmented generation
(3)
automatic evaluation
(3)
dialogue system
(3)
summarization evaluation
(3)
question generation
(3)
natural language understanding
(3)
unsupervised learning
(3)
conversational ai
(2)
abstractive summarization
(2)
text coherence
(2)
reinforcement learning
(2)
text summarization
(2)
text classification
(2)
information retrieval
(2)
reading comprehension
(2)
question answering
(2)
Papers
Voice Interaction With Conversational AI Could Facilitate Thoughtful Reflection and Substantive Revision in Writing
NAACL 2025
Creative Planning with Language Models: Practice, Evaluation and Applications
NAACL 2025
BingoGuard: LLM Content Moderation Tools with Risk Levels
ICLR 2025
Do RAG Systems Cover What Matters? Evaluating and Optimizing Responses with Sub-Question Coverage
NAACL 2025
KRISTEVA: Close Reading as a Novel Task for Benchmarking Interpretive Reasoning
ACL 2025
Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding
ACL 2025
CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments
NAACL 2025
Automatic and Human-AI Interactive Text Generation (with a focus on Text Simplification and Revision)
ACL 2024
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
EMNLP 2024
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
EMNLP 2024
Prompt Leakage effect and mitigation strategies for multi-turn LLM Applications
EMNLP 2024
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles
NAACL 2024
Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems
EMNLP 2023
Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning
ACL 2023
SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages
ACL 2023
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors
ACL 2023
SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization
EMNLP 2023
INTELMO: Enhancing Modelsβ Adoption of Interactive Interfaces
EMNLP 2023
MixQG: Neural Question Generation with Mixed Answer Types
NAACL 2022
Discord Questions: A Computational Approach To Diversity Analysis in News Coverage
EMNLP 2022
Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets
EMNLP 2022
Quiz Design Task: Helping Teachers Create Quizzes with Automated Question Generation
NAACL 2022
Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text
ACL 2021
Can Transformer Models Measure Coherence In Text: Re-Thinking the Shuffle Test
ACL 2021
Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text
IJCNLP 2021
Can Transformer Models Measure Coherence In Text: Re-Thinking the Shuffle Test
IJCNLP 2021
News Headline Grouping as a Challenging NLU Task
NAACL 2021
Whatβs The Latest? A Question-driven News Chatbot
ACL 2020
The Summary Loop: Learning to Write Abstractive Summaries Without Examples
ACL 2020