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Kevin Small
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2020 – today
- 2024
- [c33]Ziyang Wang, Heba Elfardy, Markus Dreyer, Kevin Small, Mohit Bansal:
Unified Embeddings for Multimodal Retrieval via Frozen LLMs. EACL (Findings) 2024: 1537-1547 - [c32]Jiateng Liu, Pengfei Yu, Yuji Zhang, Sha Li, Zixuan Zhang, Ruhi Sarikaya, Kevin Small, Heng Ji:
EVEDIT: Event-based Knowledge Editing for Deterministic Knowledge Propagation. EMNLP 2024: 4907-4926 - [c31]Nirmal Roy, Leonardo F. R. Ribeiro, Rexhina Blloshmi, Kevin Small:
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA. EMNLP (Findings) 2024: 10604-10625 - [c30]Zixuan Zhang, Revanth Gangi Reddy, Kevin Small, Tong Zhang, Heng Ji:
Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization. NAACL-HLT (Findings) 2024: 742-753 - [i14]Zixuan Zhang, Revanth Gangi Reddy, Kevin Small, Tong Zhang, Heng Ji:
Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization. CoRR abs/2404.01652 (2024) - [i13]Nirmal Roy, Leonardo F. R. Ribeiro, Rexhina Blloshmi, Kevin Small:
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA. CoRR abs/2409.15515 (2024) - 2023
- [c29]Revanth Gangi Reddy, Heba Elfardy, Hou Pong Chan, Kevin Small, Heng Ji:
SumREN: Summarizing Reported Speech about Events in News. AAAI 2023: 12808-12817 - [c28]Aidan San, Yuan Zhuang, Jan Bakus, Colin Lockard, David M. Ciemiewicz, Sandeep Atluri, Kevin Small, Yangfeng Ji, Heba Elfardy:
PLAtE: A Large-scale Dataset for List Page Web Extraction. ACL (industry) 2023: 284-294 - [c27]Zixuan Zhang, Heba Elfardy, Markus Dreyer, Kevin Small, Heng Ji, Mohit Bansal:
Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction. EACL 2023: 1688-1699 - [c26]Adithya Pratapa, Kevin Small, Markus Dreyer:
Background Summarization of Event Timelines. EMNLP 2023: 8111-8136 - [i12]Adithya Pratapa, Kevin Small, Markus Dreyer:
Background Summarization of Event Timelines. CoRR abs/2310.16197 (2023) - 2022
- [c25]Revanth Gangi Reddy, Sai Chetan Chinthakindi, Yi R. Fung, Kevin Small, Heng Ji:
A Zero-Shot Claim Detection Framework Using Question Answering. COLING 2022: 6927-6933 - [c24]Revanth Gangi Reddy, Sai Chetan Chinthakindi, Zhenhailong Wang, Yi R. Fung, Kathryn Conger, Ahmed Elsayed, Martha Palmer, Preslav Nakov, Eduard H. Hovy, Kevin Small, Heng Ji:
NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge. EMNLP 2022: 6002-6018 - [c23]Ivano Lauriola, Kevin Small, Alessandro Moschitti:
Building a Dataset for Automatically Learning to Detect Questions Requiring Clarification. LREC 2022: 4701-4707 - [c22]Wenxuan Zhou, Qiang Ning, Heba Elfardy, Kevin Small, Muhao Chen:
Answer Consolidation: Formulation and Benchmarking. NAACL-HLT 2022: 4314-4325 - [i11]Wenxuan Zhou, Qiang Ning, Heba Elfardy, Kevin Small, Muhao Chen:
Answer Consolidation: Formulation and Benchmarking. CoRR abs/2205.00042 (2022) - [i10]Aidan San, Jan Bakus, Colin Lockard, David M. Ciemiewicz, Yangfeng Ji, Sandeep Atluri, Kevin Small, Heba Elfardy:
PLAtE: A Large-scale Dataset for List Page Web Extraction. CoRR abs/2205.12386 (2022) - [i9]Revanth Gangi Reddy, Heba Elfardy, Hou Pong Chan, Kevin Small, Heng Ji:
SumREN: Summarizing Reported Speech about Events in News. CoRR abs/2212.01146 (2022) - 2021
- [c21]Li Zhou, Kevin Small:
Inverse Reinforcement Learning with Natural Language Goals. AAAI 2021: 11116-11124 - [c20]Xusen Yin, Li Zhou, Kevin Small, Jonathan May
:
Summary-Oriented Question Generation for Informational Queries. DialDoc@ACL-IJCNLP 2021: 81-97 - [c19]Li Zhou, Kevin Small, Yong Zhang, Sandeep Atluri:
Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning. EMNLP (1) 2021: 5103-5135 - [i8]Li Zhou, Kevin Small, Yong Zhang, Sandeep Atluri:
Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning. CoRR abs/2109.04689 (2021) - 2020
- [c18]Ashutosh Baheti, Alan Ritter, Kevin Small:
Fluent Response Generation for Conversational Question Answering. ACL 2020: 191-207 - [i7]Ashutosh Baheti, Alan Ritter, Kevin Small:
Fluent Response Generation for Conversational Question Answering. CoRR abs/2005.10464 (2020) - [i6]Li Zhou, Kevin Small:
Inverse Reinforcement Learning with Natural Language Goals. CoRR abs/2008.06924 (2020) - [i5]Xusen Yin, Jonathan May, Li Zhou, Kevin Small:
Question Generation for Supporting Informational Query Intents. CoRR abs/2010.09692 (2020)
2010 – 2019
- 2019
- [i4]Li Zhou, Kevin Small:
Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering. CoRR abs/1911.06192 (2019) - 2018
- [i3]Yuheng Bu, Kevin Small:
Active Learning in Recommendation Systems with Multi-level User Preferences. CoRR abs/1811.12591 (2018) - 2017
- [i2]Li Zhou, Kevin Small, Oleg Rokhlenko, Charles Elkan:
End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient. CoRR abs/1712.02838 (2017) - 2012
- [j2]Carla E. Brodley, Umaa Rebbapragada, Kevin Small, Byron C. Wallace:
Challenges and Opportunities in Applied Machine Learning. AI Mag. 33(1): 11-24 (2012) - [c17]Byron C. Wallace, Kevin Small, Carla E. Brodley, Joseph Lau, Thomas A. Trikalinos:
Deploying an interactive machine learning system in an evidence-based practice center: abstrackr. IHI 2012: 819-824 - 2011
- [c16]Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos:
Class Imbalance, Redux. ICDM 2011: 754-763 - [c15]Kevin Small, Byron C. Wallace, Carla E. Brodley, Thomas A. Trikalinos:
The Constrained Weight Space SVM: Learning with Ranked Features. ICML 2011: 865-872 - [c14]Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos:
Who Should Label What? Instance Allocation in Multiple Expert Active Learning. SDM 2011: 176-187 - 2010
- [j1]Kevin Small, Dan Roth:
Margin-based active learning for structured predictions. Int. J. Mach. Learn. Cybern. 1(1-4): 3-25 (2010) - [c13]Byron C. Wallace, Kevin Small, Carla E. Brodley, Joseph Lau, Thomas A. Trikalinos:
Modeling annotation time to reduce workload in comparative effectiveness reviews. IHI 2010: 28-35 - [c12]Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos:
Active learning for biomedical citation screening. KDD 2010: 173-182 - [c11]Ivan Titov, Alexandre Klementiev, Kevin Small, Dan Roth:
Unsupervised Aggregation for Classification Problems with Large Numbers of Categories. AISTATS 2010: 836-843
2000 – 2009
- 2009
- [b1]Kevin Small:
Interactive Learning Protocols for Natural Language Applications. University of Illinois Urbana-Champaign, USA, 2009 - [c10]Dan Roth, Kevin Small:
Interactive Feature Space Construction using Semantic Information. CoNLL 2009: 66-74 - [c9]Alexandre Klementiev, Dan Roth, Kevin Small, Ivan Titov:
Unsupervised Rank Aggregation with Domain-Specific Expertise. IJCAI 2009: 1101-1106 - [c8]Dan Roth, Kevin Small, Ivan Titov:
Sequential Learning of Classifiers for Structured Prediction Problems. AISTATS 2009: 440-447 - [i1]Mark Sammons, V. G. Vinod Vydiswaran, Tim Vieira, Nikhil Johri, Ming-Wei Chang, Dan Goldwasser, Vivek Srikumar, Gourab Kundu, Yuancheng Tu, Kevin Small, Joshua S. Rule, Quang Do, Dan Roth:
Relation Alignment for Textual Entailment Recognition. TAC 2009 - 2008
- [c7]Dan Roth, Kevin Small:
Active Learning for Pipeline Models. AAAI 2008: 683-688 - [c6]Alexandre Klementiev, Dan Roth, Kevin Small:
Unsupervised rank aggregation with distance-based models. ICML 2008: 472-479 - 2007
- [c5]Alexandre Klementiev, Dan Roth, Kevin Small:
An Unsupervised Learning Algorithm for Rank Aggregation. ECML 2007: 616-623 - [c4]Paul C. Davis, Zhuli Xie, Kevin Small:
All links are not the same: evaluating word alignments for statistical machine translation. MTSummit 2007 - 2006
- [c3]Dan Roth, Kevin Small:
Margin-Based Active Learning for Structured Output Spaces. ECML 2006: 413-424 - 2002
- [c2]Dan Roth, Chad M. Cumby, Xin Li, Paul Morie, Ramya Nagarajan, Nick Rizzolo, Kevin Small, Wen-tau Yih:
Question-Answering via Enhanced Understanding of Questions. TREC 2002 - 2001
- [c1]Guy E. Garnett, Mangesh Jonnalagadda, Ivan Elezovic, Timothy Johnson, Kevin Small:
Technological Advances for Conducting a Virtual Ensemble. ICMC 2001
Coauthor Index
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last updated on 2024-11-15 19:32 CET by the dblp team
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