Kevin Small

54 papers A* 13A 4B 4Journal 17Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Evaluating the Utility of Grounding Documents with Reference-Free LLM-based Metrics.
CoRR
Yilun Hua, Giuseppe Castellucci, Peter Schulam, Heba Elfardy, Kevin Small
2026 A* conf
WiNELL: Wikipedia Never-Ending Updating with LLM Agents.
WWW
Revanth Gangi Reddy, Tanay Dixit, Jiaxin Qin, Cheng Qian, Daniel Lee, Jiawei Han, Kevin Small, Xing Fan, Ruhi Sarikaya, Heng Ji
2025 B conf
Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement.
COLING
Chenkai Sun, Ke Yang, Revanth Gangi Reddy, Yi Ren Fung, Hou Pong Chan, Kevin Small, ChengXiang Zhai, Heng Ji
2025 J jnl
WINELL: Wikipedia Never-Ending Updating with LLM Agents.
CoRR
Revanth Gangi Reddy, Tanay Dixit, Jiaxin Qin, Cheng Qian, Daniel Lee, Jiawei Han, Kevin Small, Xing Fan, Ruhi Sarikaya, Heng Ji
2024 A* conf
EVEDIT: Event-based Knowledge Editing for Deterministic Knowledge Propagation.
EMNLP
Jiateng Liu, Pengfei Yu, Yuji Zhang, Sha Li, Zixuan Zhang, Ruhi Sarikaya, Kevin Small, Heng Ji
2024 — conf
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA.
EMNLP (Findings)
Nirmal Roy, Leonardo F. R. Ribeiro, Rexhina Blloshmi, Kevin Small
2024 J jnl
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA.
CoRR
Nirmal Roy, Leonardo F. R. Ribeiro, Rexhina Blloshmi, Kevin Small
2024 — conf
Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization.
NAACL-HLT (Findings)
Zixuan Zhang, Revanth Gangi Reddy, Kevin Small, Tong Zhang, Heng Ji
2024 J jnl
Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization.
CoRR
Zixuan Zhang, Revanth Gangi Reddy, Kevin Small, Tong Zhang, Heng Ji
2024 — conf
Unified Embeddings for Multimodal Retrieval via Frozen LLMs.
EACL (Findings)
Ziyang Wang, Heba Elfardy, Markus Dreyer, Kevin Small, Mohit Bansal
2023 A* conf
Background Summarization of Event Timelines.
EMNLP
Adithya Pratapa, Kevin Small, Markus Dreyer
2023 J jnl
Background Summarization of Event Timelines.
CoRR
Adithya Pratapa, Kevin Small, Markus Dreyer
2023 A conf
Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction.
EACL
Zixuan Zhang, Heba Elfardy, Markus Dreyer, Kevin Small, Heng Ji, Mohit Bansal
2023 — conf
PLAtE: A Large-scale Dataset for List Page Web Extraction.
ACL (industry)
Aidan San, Yuan Zhuang, Jan Bakus, Colin Lockard, David M. Ciemiewicz, Sandeep Atluri, Kevin Small, Yangfeng Ji, Heba Elfardy
2023 A* conf
SumREN: Summarizing Reported Speech about Events in News.
AAAI
Revanth Gangi Reddy, Heba Elfardy, Hou Pong Chan, Kevin Small, Heng Ji
2022 B conf
A Zero-Shot Claim Detection Framework Using Question Answering.
COLING
Revanth Gangi Reddy, Sai Chetan Chinthakindi, Yi R. Fung, Kevin Small, Heng Ji
2022 — conf
Answer Consolidation: Formulation and Benchmarking.
NAACL-HLT
Wenxuan Zhou, Qiang Ning, Heba Elfardy, Kevin Small, Muhao Chen
2022 J jnl
Answer Consolidation: Formulation and Benchmarking.
CoRR
Wenxuan Zhou, Qiang Ning, Heba Elfardy, Kevin Small, Muhao Chen
2022 B conf
Building a Dataset for Automatically Learning to Detect Questions Requiring Clarification.
LREC
Ivano Lauriola, Kevin Small, Alessandro Moschitti
2022 A* conf
NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge.
EMNLP
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
2022 J jnl
PLAtE: A Large-scale Dataset for List Page Web Extraction.
CoRR
Aidan San, Jan Bakus, Colin Lockard, David M. Ciemiewicz, Yangfeng Ji, Sandeep Atluri, Kevin Small, Heba Elfardy
2022 J jnl
SumREN: Summarizing Reported Speech about Events in News.
CoRR
Revanth Gangi Reddy, Heba Elfardy, Hou Pong Chan, Kevin Small, Heng Ji
2021 — conf
Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning.
EMNLP (1)
Li Zhou, Kevin Small, Yong Zhang, Sandeep Atluri
2021 J jnl
Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning.
CoRR
Li Zhou, Kevin Small, Yong Zhang, Sandeep Atluri
2021 A* conf
Inverse Reinforcement Learning with Natural Language Goals.
AAAI
Li Zhou, Kevin Small
2021 — conf
Summary-Oriented Question Generation for Informational Queries.
DialDoc@ACL-IJCNLP
Xusen Yin, Li Zhou, Kevin Small, Jonathan May
2020 A* conf
Fluent Response Generation for Conversational Question Answering.
ACL
Ashutosh Baheti, Alan Ritter, Kevin Small
2020 J jnl
Fluent Response Generation for Conversational Question Answering.
CoRR
Ashutosh Baheti, Alan Ritter, Kevin Small
2020 J jnl
Inverse Reinforcement Learning with Natural Language Goals.
CoRR
Li Zhou, Kevin Small
2020 J jnl
Question Generation for Supporting Informational Query Intents.
CoRR
Xusen Yin, Jonathan May, Li Zhou, Kevin Small
2019 J jnl
Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering.
CoRR
Li Zhou, Kevin Small
2018 J jnl
Active Learning in Recommendation Systems with Multi-level User Preferences.
CoRR
Yuheng Bu, Kevin Small
2017 J jnl
End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient.
CoRR
Li Zhou, Kevin Small, Oleg Rokhlenko, Charles Elkan
2012 J jnl
Challenges and Opportunities in Applied Machine Learning.
AI Mag.
Carla E. Brodley, Umaa Rebbapragada, Kevin Small, Byron C. Wallace
2012 — conf
Deploying an interactive machine learning system in an evidence-based practice center: abstrackr.
IHI
Byron C. Wallace, Kevin Small, Carla E. Brodley, Joseph Lau, Thomas A. Trikalinos
2011 A* conf
Class Imbalance, Redux.
ICDM
Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos
2011 A* conf
The Constrained Weight Space SVM: Learning with Ranked Features.
ICML
Kevin Small, Byron C. Wallace, Carla E. Brodley, Thomas A. Trikalinos
2011 A conf
Who Should Label What? Instance Allocation in Multiple Expert Active Learning.
SDM
Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos
2010 A* conf
Active learning for biomedical citation screening.
KDD
Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos
2010 J jnl
Margin-based active learning for structured predictions.
Int. J. Mach. Learn. Cybern.
Kevin Small, Dan Roth
2010 — conf
Modeling annotation time to reduce workload in comparative effectiveness reviews.
IHI
Byron C. Wallace, Kevin Small, Carla E. Brodley, Joseph Lau, Thomas A. Trikalinos
2010 A conf
Unsupervised Aggregation for Classification Problems with Large Numbers of Categories.
AISTATS
Ivan Titov, Alexandre Klementiev, Kevin Small, Dan Roth
2009 B conf
Interactive Feature Space Construction using Semantic Information.
CoNLL
Dan Roth, Kevin Small
2009 — —
Interactive Learning Protocols for Natural Language Applications
Kevin Small
2009 — conf
Relation Alignment for Textual Entailment Recognition.
TAC
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
2009 A conf
Sequential Learning of Classifiers for Structured Prediction Problems.
AISTATS
Dan Roth, Kevin Small, Ivan Titov
2009 A* conf
Unsupervised Rank Aggregation with Domain-Specific Expertise.
IJCAI
Alexandre Klementiev, Dan Roth, Kevin Small, Ivan Titov
2008 A* conf
Active Learning for Pipeline Models.
AAAI
Dan Roth, Kevin Small
2008 A* conf
Unsupervised rank aggregation with distance-based models.
ICML
Alexandre Klementiev, Dan Roth, Kevin Small
2007 — conf
All links are not the same: evaluating word alignments for statistical machine translation.
MTSummit
Paul C. Davis, Zhuli Xie, Kevin Small
2007 — conf
An Unsupervised Learning Algorithm for Rank Aggregation.
ECML
Alexandre Klementiev, Dan Roth, Kevin Small
2006 — conf
Margin-Based Active Learning for Structured Output Spaces.
ECML
Dan Roth, Kevin Small
2002 — conf
Question-Answering via Enhanced Understanding of Questions.
TREC
Dan Roth, Chad M. Cumby, Xin Li, Paul Morie, Ramya Nagarajan, Nick Rizzolo, Kevin Small, Wen-tau Yih
2001 — conf
Technological Advances for Conducting a Virtual Ensemble.
ICMC
Guy E. Garnett, Mangesh Jonnalagadda, Ivan Elezovic, Timothy Johnson, Kevin Small