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Philippe Laban
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2020 – today
- 2024
- [c24]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: 30:1-30:34 - [c23]Divyansh Agarwal, Alexander R. Fabbri, Ben Risher, Philippe Laban, Shafiq Joty, Chien-Sheng Wu:
Prompt Leakage effect and mitigation strategies for multi-turn LLM Applications. EMNLP (Industry Track) 2024: 1255-1275 - [c22]Liyan Tang, Philippe Laban, Greg Durrett:
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents. EMNLP 2024: 8818-8847 - [c21]Philippe Laban, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu:
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems. EMNLP 2024: 9885-9903 - [c20]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: 570-593 - [c19]Philippe Laban
, Jesse Vig
, Marti A. Hearst
, Caiming Xiong
, Chien-Sheng Wu
:
Beyond the Chat: Executable and Verifiable Text-Editing with LLMs. UIST 2024: 20:1-20:23 - [i31]Liyan Tang, Philippe Laban, Greg Durrett:
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents. CoRR abs/2404.10774 (2024) - [i30]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 abs/2404.16251 (2024) - [i29]Philippe Laban, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu:
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems. CoRR abs/2407.01370 (2024) - [i28]Tuhin Chakrabarty, Philippe Laban, Chien-Sheng Wu:
Can AI writing be salvaged? Mitigating Idiosyncrasies and Improving Human-AI Alignment in the Writing Process through Edits. CoRR abs/2409.14509 (2024) - [i27]Kaige Xie, Philippe Laban, Prafulla Kumar Choubey, Caiming Xiong, Chien-Sheng Wu:
Do RAG Systems Cover What Matters? Evaluating and Optimizing Responses with Sub-Question Coverage. CoRR abs/2410.15531 (2024) - [i26]Pranav Narayanan Venkit, Philippe Laban, Yilun Zhou, Yixin Mao, Chien-Sheng Wu:
Search Engines in an AI Era: The False Promise of Factual and Verifiable Source-Cited Responses. CoRR abs/2410.22349 (2024) - [i25]Kung-Hsiang Huang, Akshara Prabhakar, Sidharth Dhawan, Yixin Mao, Huan Wang, Silvio Savarese, Caiming Xiong, Philippe Laban, Chien-Sheng Wu:
CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments. CoRR abs/2411.02305 (2024) - [i24]Onkar Thorat, Philippe Laban, Chien-Sheng Wu:
SummExecEdit: A Factual Consistency Benchmark in Summarization with Executable Edits. CoRR abs/2412.13378 (2024) - 2023
- [j2]Xiang 'Anthony' Chen
, 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): 92:1-92:27 (2023) - [c18]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: 3063-3079 - [c17]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: 10674-10695 - [c16]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: 11626-11644 - [c15]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: 104:1-104:21 - [c14]Chunxu Yang
, Chien-Sheng Wu, Lidiya Murakhovs'ka, Philippe Laban, Xiang Chen:
INTELMO: Enhancing Models' Adoption of Interactive Interfaces. EMNLP (Demos) 2023: 161-166 - [c13]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: 9662-9676 - [c12]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: 9823-9838 - [i23]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 abs/2302.08997 (2023) - [i22]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 abs/2305.14540 (2023) - [i21]Philippe Laban, Jesse Vig, Wojciech Kryscinski, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu:
SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages. CoRR abs/2305.19204 (2023) - [i20]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 abs/2306.01150 (2023) - [i19]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 abs/2306.15774 (2023) - [i18]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 abs/2309.03450 (2023) - [i17]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 abs/2309.09369 (2023) - [i16]Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal, Smaranda Muresan, Chien-Sheng Wu:
Art or Artifice? Large Language Models and the False Promise of Creativity. CoRR abs/2309.14556 (2023) - [i15]Philippe Laban, Jesse Vig, Marti A. Hearst, Caiming Xiong, Chien-Sheng Wu:
Beyond the Chat: Executable and Verifiable Text-Editing with LLMs. CoRR abs/2309.15337 (2023) - [i14]Yao Dou, Philippe Laban, Claire Gardent, Wei Xu:
Automatic and Human-AI Interactive Text Generation. CoRR abs/2310.03878 (2023) - [i13]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 abs/2310.17749 (2023) - [i12]Philippe Laban, Lidiya Murakhovs'ka, Caiming Xiong, Chien-Sheng Wu:
Are You Sure? Challenging LLMs Leads to Performance Drops in The FlipFlop Experiment. CoRR abs/2311.08596 (2023) - 2022
- [j1]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: 163-177 (2022) - [c11]Philippe Laban, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong:
Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets. EMNLP 2022: 2094-2108 - [c10]Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Xiang 'Anthony' Chen, Caiming Xiong:
Discord Questions: A Computational Approach To Diversity Analysis in News Coverage. EMNLP (Findings) 2022: 5180-5194 - [c9]Philippe Laban, Elicia Ye, Srujay Korlakunta, John F. Canny, Marti A. Hearst:
NewsPod: Automatic and Interactive News Podcasts. IUI 2022: 691-706 - [c8]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: 102-111 - [c7]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: 1486-1497 - [i11]Philippe Laban, Elicia Ye, Srujay Korlakunta, John F. Canny, Marti A. Hearst:
NewsPod: Automatic and Interactive News Podcasts. CoRR abs/2202.07146 (2022) - [i10]Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Wenhao Liu, Caiming Xiong:
Quiz Design Task: Helping Teachers Create Quizzes with Automated Question Generation. CoRR abs/2205.01730 (2022) - [i9]Philippe Laban, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong:
Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets. CoRR abs/2205.06871 (2022) - [i8]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. CoRR abs/2205.12854 (2022) - [i7]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 abs/2211.05007 (2022) - 2021
- [b1]Philippe Laban:
Unsupervised Text Generation and its Application to News Interfaces. University of California, Berkeley, USA, 2021 - [c6]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: 1058-1064 - [c5]Philippe Laban, Tobias Schnabel, Paul N. Bennett, Marti A. Hearst:
Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text. ACL/IJCNLP (1) 2021: 6365-6378 - [c4]Philippe Laban, Lucas Bandarkar, Marti A. Hearst:
News Headline Grouping as a Challenging NLU Task. NAACL-HLT 2021: 3186-3198 - [i6]Philippe Laban, Andrew Hsi, John F. Canny, Marti A. Hearst:
The Summary Loop: Learning to Write Abstractive Summaries Without Examples. CoRR abs/2105.05361 (2021) - [i5]Philippe Laban, Lucas Bandarkar, Marti A. Hearst:
News Headline Grouping as a Challenging NLU Task. CoRR abs/2105.05391 (2021) - [i4]Philippe Laban, John F. Canny, Marti A. Hearst:
What's The Latest? A Question-driven News Chatbot. CoRR abs/2105.05392 (2021) - [i3]Philippe Laban, Tobias Schnabel, Paul N. Bennett, Marti A. Hearst:
Keep it Simple: Unsupervised Simplification of Multi-Paragraph Text. CoRR abs/2107.03444 (2021) - [i2]Philippe Laban, Luke Dai, Lucas Bandarkar, Marti A. Hearst:
Can Transformer Models Measure Coherence In Text? Re-Thinking the Shuffle Test. CoRR abs/2107.03448 (2021) - [i1]Philippe Laban, Tobias Schnabel, Paul N. Bennett, Marti A. Hearst:
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization. CoRR abs/2111.09525 (2021) - 2020
- [c3]Philippe Laban, John F. Canny, Marti A. Hearst:
What's The Latest? A Question-driven News Chatbot. ACL (demo) 2020: 380-387 - [c2]Philippe Laban, Andrew Hsi, John F. Canny, Marti A. Hearst:
The Summary Loop: Learning to Write Abstractive Summaries Without Examples. ACL 2020: 5135-5150
2010 – 2019
- 2017
- [c1]Philippe Laban, Marti A. Hearst:
newsLens: building and visualizing long-ranging news stories. NEWS@ACL 2017: 1-9
Coauthor Index
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