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Journal Articles
- 2011
[j1]Kevin Curran
, Kevin O'Hara, Sean O'Brien:
The Role of Twitter in the World of Business. Int. J. Bus. Data Commun. Netw. 7(3): 1-15 (2011)
Conference and Workshop Papers
- 2025
- [c6]Sundesh Donthi, Maximilian Spencer, Om Patel, Joon Yong Doh, Eid Rodan, Kevin Zhu, Sean O'Brien:
Improving LLM Abilities in Idiomatic Translation. FICC (3) 2025: 361-375 - [c5]Ryotaro Shimizu, Takashi Wada, Yu Wang, Johannes Kruse, Sean O'Brien, Sai Htaung Kham, Linxin Song, Yuya Yoshikawa, Yuki Saito, Fugee Tsung, Masayuki Goto, Julian J. McAuley:
Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation. WWW 2025: 4793-4809 - 2024
- [c4]Dharunish Yugeswardeenoo, Kevin Zhu, Sean O'Brien:
Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks. ACL (Student Research Workshop) 2024: 543-554 - [c3]Mayukh Sharma, Sean O'Brien, Julian J. McAuley:
Linear Layer Extrapolation for Fine-Grained Emotion Classification. EMNLP 2024: 20880-20888 - 2017
- [c2]Danielle Boyd Harlow, Ron Skinner, Sean O'Brien:
Roll It Wall: Developing a Framework for Evaluating Practices of Learning. FabLearn 2017: 14:1-14:4 - 2016
- [c1]Sean O'Brien, Alexandria K. Hansen, Danielle Boyd Harlow:
Educating Teachers for the Maker Movement: Pre-service Teachers' Experiences Facilitating Maker Activities. FabLearn 2016: 99-102
Parts in Books or Collections
- 2013
- [p2]Sean O'Brien, Mirsad Hadzikadic, Moutaz Khouja:
Addressing Complex Challenges in an Interconnected World. Managing Complexity 2013: 1-7 - [p1]Sean O'Brien, Mirsad Hadzikadic, Moutaz Khouja:
Complexity: Where Does It Come from? Managing Complexity 2013: 9-17
Editorship
- 2013
- [e1]Mirsad Hadzikadic, Sean O'Brien, Moutaz Khouja:
Managing Complexity: Practical Considerations in the Development and Application of ABMs to Contemporary Policy Challenges. Studies in Computational Intelligence 504, Springer 2013, ISBN 978-3-642-39294-8 [contents]
Informal and Other Publications
- 2025
- [i21]James Begin, Namit Agrawal, Eshan Singh, Yicheng Fu, Sean O'Brien, Vasu Sharma, Kevin Zhu:
Pause-Tuning for Long-Context Comprehension: A Lightweight Approach to LLM Attention Recalibration. CoRR abs/2502.20405 (2025) - [i20]Joshua Liu, Aarav Jain, Soham Takuri, Srihan Vege, Aslihan Akalin, Kevin Zhu, Sean O'Brien, Vasu Sharma:
TRUTH DECAY: Quantifying Multi-Turn Sycophancy in Language Models. CoRR abs/2503.11656 (2025) - [i19]Yongyi Zang, Sean O'Brien, Taylor Berg-Kirkpatrick, Julian J. McAuley, Zachary Novack:
Are you really listening? Boosting Perceptual Awareness in Music-QA Benchmarks. CoRR abs/2504.00369 (2025) - [i18]Athena Wen, Tanush Patil, Ansh Saxena, Yicheng Fu, Sean O'Brien, Kevin Zhu:
FAIRE: Assessing Racial and Gender Bias in AI-Driven Resume Evaluations. CoRR abs/2504.01420 (2025) - [i17]Abhay Gupta, Jacob Cheung, Philip Meng, Shayan Sayyed, Austen Liao, Kevin Zhu, Sean O'Brien:
EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models. CoRR abs/2504.07100 (2025) - [i16]Andrew Rufail, Daniel Kim, Sean O'Brien, Kevin Zhu:
CLEAR: Contrasting Textual Feedback with Experts and Amateurs for Reasoning. CoRR abs/2504.07116 (2025) - [i15]Shaun Lee Baek, Shaun Esua-Mensah, Cyrus Tsui, Sejan Vigneswaralingam, Abdullah Alali, Michael Lu, Vasu Sharma, Sean O'Brien, Kevin Zhu:
Rosetta-PL: Propositional Logic as a Benchmark for Large Language Model Reasoning. CoRR abs/2505.00001 (2025) - [i14]Muna Numan Said, Aarib Zaidi, Rabia Usman, Sonia Okon, Praneeth Medepalli, Kevin Zhu, Vasu Sharma, Sean O'Brien:
Deconstructing Bias: A Multifaceted Framework for Diagnosing Cultural and Compositional Inequities in Text-to-Image Generative Models. CoRR abs/2505.01430 (2025) - [i13]Jesus Alvarez C, Daua D. Karajeanes, Ashley Celeste Prado, John Ruttan, Ivory Yang, Sean O'Brien, Vasu Sharma, Kevin Zhu:
Advancing Uto-Aztecan Language Technologies: A Case Study on the Endangered Comanche Language. CoRR abs/2505.18159 (2025) - 2024
- [i12]Grant Kruttschnitt, Jay Shim, Alyssa Ma, Daniel Kim, Benjamin Chek, Athul Anand, Kevin Zhu, Sean O'Brien:
Contrastive Chain-of-Thought Prompting. CoRR abs/2407.03600 (2024) - [i11]Dharunish Yugeswardeenoo, Kevin Zhu, Sean O'Brien:
Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks. CoRR abs/2407.03624 (2024) - [i10]Kaylee Chhua, Zhoujinyi Wen, Vedant Hathalia, Kevin Zhu, Sean O'Brien:
From Bias to Balance: Detecting Facial Expression Recognition Biases in Large Multimodal Foundation Models. CoRR abs/2408.14842 (2024) - [i9]Abhay Gupta, Philip Meng, Ece Yurtseven, Sean O'Brien, Kevin Zhu:
AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark. CoRR abs/2408.14845 (2024) - [i8]Rajat Rawat, Hudson McBride, Dhiyaan Nirmal, Rajarshi Ghosh, Jong Moon, Dhruv Alamuri, Sean O'Brien, Kevin Zhu:
DiversityMedQA: Assessing Demographic Biases in Medical Diagnosis using Large Language Models. CoRR abs/2409.01497 (2024) - [i7]Yu Wang, Xinshuang Liu, Xiusi Chen, Sean O'Brien, Junda Wu, Julian J. McAuley:
Self-Updatable Large Language Models with Parameter Integration. CoRR abs/2410.00487 (2024) - [i6]Tim Knappe, Ryan Li, Ayush Chauhan, Kaylee Chhua, Kevin Zhu, Sean O'Brien:
Enhancing Language Model Reasoning via Weighted Reasoning in Self-Consistency. CoRR abs/2410.07839 (2024) - [i5]Ryotaro Shimizu, Takashi Wada, Yu Wang, Johannes Kruse, Sean O'Brien, Sai Htaung Kham, Linxin Song, Yuya Yoshikawa, Yuki Saito, Fugee Tsung, Masayuki Goto, Julian J. McAuley:
Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation. CoRR abs/2410.13248 (2024) - [i4]Ishneet Sukhvinder Singh, Ritvik Aggarwal, Ibrahim Allahverdiyev, Muhammad Taha, Aslihan Akalin, Kevin Zhu, Sean O'Brien:
ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems. CoRR abs/2410.19572 (2024) - 2023
- [i3]Tianlu Wang, Ping Yu, Xiaoqing Ellen Tan, Sean O'Brien, Ramakanth Pasunuru, Jane Dwivedi-Yu, Olga Golovneva, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz:
Shepherd: A Critic for Language Model Generation. CoRR abs/2308.04592 (2023) - [i2]Sean O'Brien, Mike Lewis:
Contrastive Decoding Improves Reasoning in Large Language Models. CoRR abs/2309.09117 (2023) - [i1]Olga Golovneva, Sean O'Brien, Ramakanth Pasunuru, Tianlu Wang, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz:
PathFinder: Guided Search over Multi-Step Reasoning Paths. CoRR abs/2312.05180 (2023)
Coauthor Index
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