Philippe Laban

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 48

Top Topics

Text Generation

Frequently Asked

Error Minimization

Top Venues

Publications

Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal, Smaranda Muresan, Chien-Sheng Wu
Art or Artifice? Large Language Models and the False Promise of Creativity. CHI (2024)
Liyan Tang, Philippe Laban, Greg Durrett
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents. CoRR (2024)
Philippe Laban, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems. CoRR (2024)
Divyansh Agarwal, Alexander R. Fabbri, Philippe Laban, Ben Risher, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
Investigating the prompt leakage effect and black-box defenses for multi-turn LLM interactions. CoRR (2024)
Kung-Hsiang Huang, Philippe Laban, Alexander R. Fabbri, Prafulla Kumar Choubey, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles. NAACL-HLT (2024)
Philippe Laban, Jesse Vig, Wojciech Kryscinski, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages. ACL (1) (2023)
Kung-Hsiang Huang, Philippe Laban, Alexander R. Fabbri, Prafulla Kumar Choubey, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles. CoRR (2023)
Philippe Laban, Jesse Vig, Marti A. Hearst, Caiming Xiong, Chien-Sheng Wu
Beyond the Chat: Executable and Verifiable Text-Editing with LLMs. CoRR (2023)
Xiang 'Anthony' Chen, Jeff Burke, Ruofei Du, Matthew K. Hong, Jennifer Jacobs, Philippe Laban, Dingzeyu Li, Nanyun Peng, Karl D. D. Willis, Chien-Sheng Wu, Bolei Zhou
Next Steps for Human-Centered Generative AI: A Technical Perspective. CoRR (2023)
Erik Nijkamp, Tian Xie, Hiroaki Hayashi, Bo Pang, Congying Xia, Chen Xing, Jesse Vig, Semih Yavuz, Philippe Laban, Ben Krause, Senthil Purushwalkam, Tong Niu, Wojciech Kryscinski, Lidiya Murakhovs'ka, Prafulla Kumar Choubey, Alexander R. Fabbri, Ye Liu, Rui Meng, Lifu Tu, Meghana Bhat, Chien-Sheng Wu, Silvio Savarese, Yingbo Zhou, Shafiq Joty, Caiming Xiong
XGen-7B Technical Report. CoRR (2023)
Philippe Laban, Wojciech Kryscinski, Divyansh Agarwal, Alexander R. Fabbri, Caiming Xiong, Shafiq Joty, Chien-Sheng Wu
SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization. EMNLP (2023)
Yao Dou, Philippe Laban, Claire Gardent, Wei Xu
Automatic and Human-AI Interactive Text Generation. CoRR (2023)
Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. ACL (1) (2023)
Philippe Laban, Lidiya Murakhovs'ka, Caiming Xiong, Chien-Sheng Wu
Are You Sure? Challenging LLMs Leads to Performance Drops in The FlipFlop Experiment. CoRR (2023)
Philippe Laban, Wojciech Kryscinski, Divyansh Agarwal, Alexander R. Fabbri, Caiming Xiong, Shafiq Joty, Chien-Sheng Wu
LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond. CoRR (2023)
Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal, Smaranda Muresan, Chien-Sheng Wu
Art or Artifice? Large Language Models and the False Promise of Creativity. CoRR (2023)
Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Xiang 'Anthony' Chen, Caiming Xiong
Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions. CoRR (2023)
Chunxu Yang, Chien-Sheng Wu, Lidiya Murakhovs'ka, Philippe Laban, Xiang Chen
INTELMO: Enhancing Models' Adoption of Interactive Interfaces. EMNLP (Demos) (2023)
Lidiya Murakhovs'ka, Philippe Laban, Tian Xie, Caiming Xiong, Chien-Sheng Wu
Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems. CoRR (2023)
Philippe Laban, Jesse Vig, Wojciech Kryscinski, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages. CoRR (2023)
Xiang, Chien-Sheng Wu, Lidiya Murakhovs'ka, Philippe Laban, Tong Niu, Wenhao Liu, Caiming Xiong
Marvista: Exploring the Design of a Human-AI Collaborative News Reading Tool. ACM Trans. Comput. Hum. Interact. 30 (6) (2023)
Fan Yin, Jesse Vig, Philippe Laban, Shafiq Joty, Caiming Xiong, Chien-Sheng Jason Wu
Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning. CoRR (2023)
Lidiya Murakhovs'ka, Philippe Laban, Tian Xie, Caiming Xiong, Chien-Sheng Wu
Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems. EMNLP (Findings) (2023)
Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Xiang 'Anthony' Chen, Caiming Xiong
Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions. CHI (2023)
Fan Yin, Jesse Vig, Philippe Laban, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning. ACL (1) (2023)
Philippe Laban, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong
Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets. CoRR (2022)
Philippe Laban, Elicia Ye, Srujay Korlakunta, John F. Canny, Marti A. Hearst
NewsPod: Automatic and Interactive News Podcasts. IUI (2022)
Philippe Laban, Elicia Ye, Srujay Korlakunta, John F. Canny, Marti A. Hearst
NewsPod: Automatic and Interactive News Podcasts. CoRR (2022)
Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Xiang Chen, Caiming Xiong
Discord Questions: A Computational Approach To Diversity Analysis in News Coverage. EMNLP (Findings) (2022)
Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Xiang 'Anthony' Chen, Caiming Xiong
Discord Questions: A Computational Approach To Diversity Analysis in News Coverage. CoRR (2022)
Lidiya Murakhovs'ka, Chien-Sheng Wu, Philippe Laban, Tong Niu, Wenhao Liu, Caiming Xiong
MixQG: Neural Question Generation with Mixed Answer Types. NAACL-HLT (Findings) (2022)
Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yahvuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. CoRR (2022)
Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Wenhao Liu, Caiming Xiong
Quiz Design Task: Helping Teachers Create Quizzes with Automated Question Generation. NAACL-HLT (Findings) (2022)
Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Wenhao Liu, Caiming Xiong
Quiz Design Task: Helping Teachers Create Quizzes with Automated Question Generation. CoRR (2022)
Philippe Laban, Tobias Schnabel, Paul N. Bennett, Marti A. Hearst
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization. Trans. Assoc. Comput. Linguistics 10 (2022)
Philippe Laban, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong
Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets. EMNLP (2022)
Philippe Laban, John F. Canny, Marti A. Hearst
What's The Latest? A Question-driven News Chatbot. CoRR (2021)
Philippe Laban, Lucas Bandarkar, Marti A. Hearst
News Headline Grouping as a Challenging NLU Task. NAACL-HLT (2021)
Philippe Laban, Luke Dai, Lucas Bandarkar, Marti A. Hearst
Can Transformer Models Measure Coherence In Text: Re-Thinking the Shuffle Test. ACL/IJCNLP (2) (2021)
Philippe Laban, Tobias Schnabel, Paul N. Bennett, Marti A. Hearst
Keep it Simple: Unsupervised Simplification of Multi-Paragraph Text. CoRR (2021)
Philippe Laban, Andrew Hsi, John F. Canny, Marti A. Hearst
The Summary Loop: Learning to Write Abstractive Summaries Without Examples. CoRR (2021)
Philippe Laban, Tobias Schnabel, Paul N. Bennett, Marti A. Hearst
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization. CoRR (2021)
Philippe Laban, Tobias Schnabel, Paul N. Bennett, Marti A. Hearst
Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text. ACL/IJCNLP (1) (2021)
Philippe Laban, Luke Dai, Lucas Bandarkar, Marti A. Hearst
Can Transformer Models Measure Coherence In Text? Re-Thinking the Shuffle Test. CoRR (2021)
Philippe Laban, Lucas Bandarkar, Marti A. Hearst
News Headline Grouping as a Challenging NLU Task. CoRR (2021)
Philippe Laban, John F. Canny, Marti A. Hearst
What's The Latest? A Question-driven News Chatbot. ACL (demo) (2020)
Philippe Laban, Andrew Hsi, John F. Canny, Marti A. Hearst
The Summary Loop: Learning to Write Abstractive Summaries Without Examples. ACL (2020)
Philippe Laban, Marti A. Hearst
newsLens: building and visualizing long-ranging news stories. NEWS@ACL (2017)