Kevin Small
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
14
Active years
2008–2026
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WWW | WiNELL: Wikipedia Never-Ending Updating with LLM Agents. | Revanth Gangi Reddy, Tanay Dixit, Jiaxin Qin, Cheng Qian, Daniel Lee, Jiawei Han, Kevin Small, Xing Fan, Ruhi Sarikaya, Heng Ji |
| 2025 | COLING | Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement. | Chenkai Sun, Ke Yang, Revanth Gangi Reddy, Yi Ren Fung, Hou Pong Chan, Kevin Small, ChengXiang Zhai, Heng Ji |
| 2024 | EACL | Unified Embeddings for Multimodal Retrieval via Frozen LLMs. | Ziyang Wang, Heba Elfardy, Markus Dreyer, Kevin Small, Mohit Bansal |
| 2024 | EMNLP | EVEDIT: Event-based Knowledge Editing for Deterministic Knowledge Propagation. | Jiateng Liu, Pengfei Yu, Yuji Zhang, Sha Li, Zixuan Zhang, Ruhi Sarikaya, Kevin Small, Heng Ji |
| 2024 | EMNLP | Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA. | Nirmal Roy, Leonardo F. R. Ribeiro, Rexhina Blloshmi, Kevin Small |
| 2024 | NAACL | Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization. | Zixuan Zhang, Revanth Gangi Reddy, Kevin Small, Tong Zhang, Heng Ji |
| 2023 | AAAI | SumREN: Summarizing Reported Speech about Events in News. | Revanth Gangi Reddy, Heba Elfardy, Hou Pong Chan, Kevin Small, Heng Ji |
| 2023 | ACL | 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 |
| 2023 | EACL | Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction. | Zixuan Zhang, Heba Elfardy, Markus Dreyer, Kevin Small, Heng Ji, Mohit Bansal |
| 2023 | EMNLP | Background Summarization of Event Timelines. | Adithya Pratapa, Kevin Small, Markus Dreyer |
| 2022 | COLING | A Zero-Shot Claim Detection Framework Using Question Answering. | Revanth Gangi Reddy, Sai Chetan Chinthakindi, Yi R. Fung, Kevin Small, Heng Ji |
| 2022 | EMNLP | NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge. | 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 | LREC | Building a Dataset for Automatically Learning to Detect Questions Requiring Clarification. | Ivano Lauriola, Kevin Small, Alessandro Moschitti |
| 2022 | NAACL | Answer Consolidation: Formulation and Benchmarking. | Wenxuan Zhou, Qiang Ning, Heba Elfardy, Kevin Small, Muhao Chen |
| 2021 | AAAI | Inverse Reinforcement Learning with Natural Language Goals. | Li Zhou, Kevin Small |
| 2021 | EMNLP | Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning. | Li Zhou, Kevin Small, Yong Zhang, Sandeep Atluri |
| 2020 | ACL | Fluent Response Generation for Conversational Question Answering. | Ashutosh Baheti, Alan Ritter, Kevin Small |
| 2011 | ICDM | Class Imbalance, Redux. | Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos |
| 2011 | ICML | The Constrained Weight Space SVM: Learning with Ranked Features. | Kevin Small, Byron C. Wallace, Carla E. Brodley, Thomas A. Trikalinos |
| 2011 | SDM | Who Should Label What? Instance Allocation in Multiple Expert Active Learning. | Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos |
| 2010 | KDD | Active learning for biomedical citation screening. | Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos |
| 2009 | CoNLL | Interactive Feature Space Construction using Semantic Information. | Dan Roth, Kevin Small |
| 2009 | IJCAI | Unsupervised Rank Aggregation with Domain-Specific Expertise. | Alexandre Klementiev, Dan Roth, Kevin Small, Ivan Titov |
| 2008 | AAAI | Active Learning for Pipeline Models. | Dan Roth, Kevin Small |
| 2008 | ICML | Unsupervised rank aggregation with distance-based models. | Alexandre Klementiev, Dan Roth, Kevin Small |