Technological Advances for Conducting a Virtual Ensemble. - Guy E. Garnett; Mangesh Jonnalagadda; Ivan Elezovic; Timothy Johnson; Kevin Small (ICMC, 2001)

Question-Answering via Enhanced Understanding of Questions. - Dan Roth 001; Chad M. Cumby; Xin Li 018; Paul Morie; Ramya Nagarajan; Nick Rizzolo; Kevin Small; Wen-tau Yih (TREC, 2002)

Margin-Based Active Learning for Structured Output Spaces. - Dan Roth 001; Kevin Small (ECML, 2006)

An Unsupervised Learning Algorithm for Rank Aggregation. - Alexandre Klementiev; Dan Roth 001; Kevin Small (ECML, 2007)

All links are not the same: evaluating word alignments for statistical machine translation. - Paul C. Davis; Zhuli Xie; Kevin Small (MTSummit, 2007)

Active Learning for Pipeline Models. - Dan Roth 001; Kevin Small (AAAI, 2008)

Unsupervised rank aggregation with distance-based models. - Alexandre Klementiev; Dan Roth 001; Kevin Small (ICML, 2008)

Interactive Feature Space Construction using Semantic Information. - Dan Roth 001; Kevin Small (CoNLL, 2009)

Unsupervised Rank Aggregation with Domain-Specific Expertise. - Alexandre Klementiev; Dan Roth 001; Kevin Small; Ivan Titov 001 (IJCAI, 2009)

Relation Alignment for Textual Entailment Recognition. - 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; et al. (TAC, 2009)

Sequential Learning of Classifiers for Structured Prediction Problems. - Dan Roth 001; Kevin Small; Ivan Titov 001 (AISTATS, 2009)

Interactive Learning Protocols for Natural Language Applications - Kevin Small (2009)

Modeling annotation time to reduce workload in comparative effectiveness reviews. - Byron C. Wallace; Kevin Small; Carla E. Brodley; Joseph Lau; Thomas A. Trikalinos (IHI, 2010)

Active learning for biomedical citation screening. - Byron C. Wallace; Kevin Small; Carla E. Brodley; Thomas A. Trikalinos (KDD, 2010)

Unsupervised Aggregation for Classification Problems with Large Numbers of Categories. - Ivan Titov 001; Alexandre Klementiev; Kevin Small; Dan Roth 001 (AISTATS, 2010)

Margin-based active learning for structured predictions. - Kevin Small; Dan Roth 001 (Int. J. Mach. Learn. Cybern., 2010)

Class Imbalance, Redux. - Byron C. Wallace; Kevin Small; Carla E. Brodley; Thomas A. Trikalinos (ICDM, 2011)

The Constrained Weight Space SVM: Learning with Ranked Features. - Kevin Small; Byron C. Wallace; Carla E. Brodley; Thomas A. Trikalinos (ICML, 2011)

Who Should Label What? Instance Allocation in Multiple Expert Active Learning. - Byron C. Wallace; Kevin Small; Carla E. Brodley; Thomas A. Trikalinos (SDM, 2011)

Deploying an interactive machine learning system in an evidence-based practice center: abstrackr. - Byron C. Wallace; Kevin Small; Carla E. Brodley; Joseph Lau; Thomas A. Trikalinos (IHI, 2012)

Challenges and Opportunities in Applied Machine Learning. - Carla E. Brodley; Umaa Rebbapragada; Kevin Small; Byron C. Wallace (AI Mag., 2012)

End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient. - Li Zhou 006; Kevin Small; Oleg Rokhlenko; Charles Elkan (CoRR, 2017)

Active Learning in Recommendation Systems with Multi-level User Preferences. - Yuheng Bu; Kevin Small (CoRR, 2018)

Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering. - Li Zhou 006; Kevin Small (CoRR, 2019)

Fluent Response Generation for Conversational Question Answering. - Ashutosh Baheti; Alan Ritter; Kevin Small (ACL, 2020)

Question Generation for Supporting Informational Query Intents. - Xusen Yin; Jonathan May; Li Zhou 006; Kevin Small (CoRR, 2020)

Inverse Reinforcement Learning with Natural Language Goals. - Li Zhou 006; Kevin Small (AAAI, 2021)

Summary-Oriented Question Generation for Informational Queries. - Xusen Yin; Li Zhou 006; Kevin Small; Jonathan May (DialDoc@ACL-IJCNLP, 2021)

Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning. - Li Zhou 006; Kevin Small; Yong Zhang; Sandeep Atluri (EMNLP (1), 2021)

A Zero-Shot Claim Detection Framework Using Question Answering. - Revanth Gangi Reddy; Sai Chetan Chinthakindi; Yi R. Fung 001; Kevin Small; Heng Ji 001 (COLING, 2022)

NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge. - Revanth Gangi Reddy; Sai Chetan Chinthakindi; Zhenhailong Wang; Yi R. Fung 001; Kathryn Conger; Ahmed Elsayed; Martha Palmer; Preslav Nakov; Eduard H. Hovy; Kevin Small; Heng Ji 001 (EMNLP, 2022)

Building a Dataset for Automatically Learning to Detect Questions Requiring Clarification. - Ivano Lauriola; Kevin Small; Alessandro Moschitti (LREC, 2022)

Answer Consolidation: Formulation and Benchmarking. - Wenxuan Zhou; Qiang Ning; Heba Elfardy; Kevin Small; Muhao Chen 001 (NAACL-HLT, 2022)

PLAtE: A Large-scale Dataset for List Page Web Extraction. - Aidan San; Jan Bakus; Colin Lockard; David M. Ciemiewicz; Yangfeng Ji; Sandeep Atluri; Kevin Small; Heba Elfardy (CoRR, 2022)

SumREN: Summarizing Reported Speech about Events in News. - Revanth Gangi Reddy; Heba Elfardy; Hou Pong Chan; Kevin Small; Heng Ji 001 (AAAI, 2023)

PLAtE: A Large-scale Dataset for List Page Web Extraction. - Aidan San; Yuan Zhuang; Jan Bakus; Colin Lockard; David M. Ciemiewicz; Sandeep Atluri; Kevin Small; Yangfeng Ji; Heba Elfardy (ACL (industry), 2023)

Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction. - Zixuan Zhang; Heba Elfardy; Markus Dreyer; Kevin Small; Heng Ji; Mohit Bansal (EACL, 2023)

Background Summarization of Event Timelines. - Adithya Pratapa; Kevin Small; Markus Dreyer (EMNLP, 2023)

Unified Embeddings for Multimodal Retrieval via Frozen LLMs. - Ziyang Wang; Heba Elfardy; Markus Dreyer; Kevin Small; Mohit Bansal (EACL (Findings), 2024)

EVEDIT: Event-based Knowledge Editing for Deterministic Knowledge Propagation. - Jiateng Liu; Pengfei Yu; Yuji Zhang 002; Sha Li; Zixuan Zhang; Ruhi Sarikaya; Kevin Small; Heng Ji 001 (EMNLP, 2024)

Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA. - Nirmal Roy; Leonardo F. R. Ribeiro; Rexhina Blloshmi; Kevin Small (EMNLP (Findings), 2024)

Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization. - Zixuan Zhang; Revanth Gangi Reddy; Kevin Small; Tong Zhang 001; Heng Ji 001 (NAACL-HLT (Findings), 2024)

Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement. - Chenkai Sun; Ke Yang; Revanth Gangi Reddy; Yi Ren Fung 001; Hou Pong Chan; Kevin Small; ChengXiang Zhai; Heng Ji 001 (COLING, 2025)

WINELL: Wikipedia Never-Ending Updating with LLM Agents. - Revanth Gangi Reddy; Tanay Dixit; Jiaxin Qin; Cheng Qian 008; Daniel Lee; Jiawei Han 001; Kevin Small; Xing Fan; Ruhi Sarikaya; Heng Ji 001 (CoRR, 2025)