Tom Hope
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
40
Venues
17
Active years
2006–2026
Best venue rank
A*
Where they publish
Papers
40 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | In-depth Research Impact Summarization through Fine-Grained Temporal Citation Analysis. | Hiba Arnaout, Noy Sternlicht, Tom Hope, Iryna Gurevych |
| 2026 | ACL | LVLM-Aware Multimodal Retrieval for RAG-Based Medical Diagnosis with General-Purpose Models. | Nir Mazor, Tom Hope |
| 2026 | ACL | CHIMERA: A Knowledge Base of Scientific Idea Recombinations for Research Analysis and Ideation. | Noy Sternlicht, Tom Hope |
| 2026 | EACL | Beyond "Not Novel Enough": Enriching Scholarly Critique with LLM-Assisted Feedback. | Osama Mohammed Afzal, Preslav Nakov, Tom Hope, Iryna Gurevych |
| 2026 | EACL | ABCD-LINK: Annotation Bootstrapping for Cross-Document Fine-Grained Links. | Serwar Basch, Ilia Kuznetsov, Tom Hope, Iryna Gurevych |
| 2025 | ACL | CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation. | Peter Jansen, Oyvind Tafjord, Marissa Radensky, Pao Siangliulue, Tom Hope, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Daniel S. Weld, Peter Clark |
| 2025 | CHI | IdeaSynth: Iterative Research Idea Development Through Evolving and Composing Idea Facets with Literature-Grounded Feedback. | Kevin Pu, K. J. Kevin Feng, Tovi Grossman, Tom Hope, Bhavana Dalvi Mishra, Matt Latzke, Jonathan Bragg, Joseph Chee Chang, Pao Siangliulue |
| 2025 | CogSci | How do Humans and Language Models Reason About Creativity? A Comparative Analysis. | Antonio Laverghetta, Tuhin Chakrabarty, Tom Hope, Jimmy Pronchick, Krupa Bhawsar, Roger E. Beaty |
| 2025 | EMNLP | Debatable Intelligence: Benchmarking LLM Judges via Debate Speech Evaluation. | Noy Sternlicht, Ariel Gera, Roy Bar-Haim, Tom Hope, Noam Slonim |
| 2025 | EMNLP | SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature. | David Wadden, Kejian Shi, Jacob Morrison, Alan Li, Aakanksha Naik, Shruti Singh, Nitzan Barzilay, Kyle Lo, Tom Hope, Luca Soldaini, Shannon Zejiang Shen, Doug Downey, Hannaneh Hajishirzi, Arman Cohan |
| 2024 | ACL | SciMON: Scientific Inspiration Machines Optimized for Novelty. | Qingyun Wang, Doug Downey, Heng Ji, Tom Hope |
| 2024 | ACL | ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews. | Mike D'Arcy, Alexis Ross, Erin Bransom, Bailey Kuehl, Jonathan Bragg, Tom Hope, Doug Downey |
| 2024 | NAACL | On-the-fly Definition Augmentation of LLMs for Biomedical NER. | Monica Munnangi, Sergey Feldman, Byron C. Wallace, Silvio Amir, Tom Hope, Aakanksha Naik |
| 2024 | NAACL | CARE: Extracting Experimental Findings From Clinical Literature. | Aakanksha Naik, Bailey Kuehl, Erin Bransom, Doug Downey, Tom Hope |
| 2023 | EMNLP | Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. | Fernando Gonzalez Adauto, Zhijing Jin, Bernhard Schlkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea |
| 2023 | EMNLP | CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies. | Arie Cattan, Tom Hope, Doug Downey, Roy Bar-Haim, Lilach Eden, Yoav Kantor, Ido Dagan |
| 2022 | AAAI | A Search Engine for Discovery of Scientific Challenges and Directions. | Dan Lahav, Jon Saad-Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope |
| 2022 | CHI | Scaling Creative Inspiration with Fine-Grained Functional Aspects of Ideas. | Tom Hope, Ronen Tamari, Daniel Hershcovich, Hyeonsu B. Kang, Joel Chan, Aniket Kittur, Dafna Shahaf |
| 2022 | CHI | Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery. | Jason Portenoy, Marissa Radensky, Jevin D. West, Eric Horvitz, Daniel S. Weld, Tom Hope |
| 2022 | EMNLP | ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts. | Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel S. Weld, Tom Hope, Doug Downey |
| 2022 | NAACL | Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity. | Sheshera Mysore, Arman Cohan, Tom Hope |
| 2022 | NAACL | Literature-Augmented Clinical Outcome Prediction. | Aakanksha Naik, Sravanthi Parasa, Sergey Feldman, Lucy Lu Wang, Tom Hope |
| 2022 | NAACL | A Dataset for N-ary Relation Extraction of Drug Combinations. | Aryeh Tiktinsky, Vijay Viswanathan, Danna Niezni, Dana Meron Azagury, Yosi Shamay, Hillel Taub-Tabib, Tom Hope, Yoav Goldberg |
| 2021 | KDD | Automated Testing of Graphics Units by Deep-Learning Detection of Visual Anomalies. | Lev Faivishevsky, Adi Szeskin, Ashwin K. Muppalla, Ravid Shwartz-Ziv, Itamar Ben-Ari, Ronen Laperdon, Benjamin Melloul, Tahi Hollander, Tom Hope, Amitai Armon |
| 2021 | NAACL | Extracting a Knowledge Base of Mechanisms from COVID-19 Papers. | Tom Hope, Aida Amini, David Wadden, Madeleine van Zuylen, Sravanthi Parasa, Eric Horvitz, Daniel S. Weld, Roy Schwartz, Hannaneh Hajishirzi |
| 2020 | ACL | Language (Re)modelling: Towards Embodied Language Understanding. | Ronen Tamari, Chen Shani, Tom Hope, Miriam R. L. Petruck, Omri Abend, Dafna Shahaf |
| 2020 | EMNLP | SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search. | Tom Hope, Jason Portenoy, Kishore Vasan, Jonathan Borchardt, Eric Horvitz, Daniel S. Weld, Marti A. Hearst, Jevin West |
| 2019 | ICPRAM | All Together Now! The Benefits of Adaptively Fusing Pre-trained Deep Representations. | Yehezkel S. Resheff, Itay Lieder, Tom Hope |
| 2018 | IJCAI | Accelerating Innovation Through Analogy Mining. | Tom Hope, Joel Chan, Aniket Kittur, Dafna Shahaf |
| 2018 | IUI | Pair Matching: Transdisciplinary Study for Introducing Computational Intelligence to Guide Dog Associations. | June Han, Tom Hope |
| 2018 | WSDM | Ballpark Crowdsourcing: The Wisdom of Rough Group Comparisons. | Tom Hope, Dafna Shahaf |
| 2017 | KDD | Accelerating Innovation Through Analogy Mining. | Tom Hope, Joel Chan, Aniket Kittur, Dafna Shahaf |
| 2016 | ICCBR | Scaling up Analogy with Crowdsourcing and Machine Learning. | Joel Chan, Tom Hope, Dafna Shahaf, Aniket Kittur |
| 2011 | CHI | A collective map to capture human behavior for the design of public spaces. | Mizuki Oka, Tom Hope, Yasuhiro Hashimoto, Ryoko Uno, Myeong-Hee Lee |
| 2011 | HCI | Spatial Design, Designers and Users: Exploring the Meaning of Multi-party Service Cognition. | Tom Hope, Mizuki Oka, Yasuhiro Hashimoto, Myeong-Hee Lee |
| 2009 | CHI | Familial collaborations in a museum. | Tom Hope, Yoshiyuki Nakamura, Toru Takahashi, Atsushi Nobayashi, Shota Fukuoka, Masahiro Hamasaki, Takuichi Nishimura |
| 2009 | ICWSM | Network Analysis of an Emergent Massively Collaborative Creation Community: How Can People Create Videos Collaboratively without Collaboration? | Masahiro Hamasaki, Hideaki Takeda, Tom Hope, Takuichi Nishimura |
| 2007 | HCI | Locating Culture in HCI with Information Kiosks and Social Networks. | Tom Hope, Masahiro Hamasaki, Keisuke Ishida, Noriyuki Fujimura, Yoshiyuki Nakamura, Takuichi Nishimura |
| 2006 | WWW | An integrated method for social network extraction. | Tom Hope, Takuichi Nishimura, Hideaki Takeda |
| 2006 | WEBIST | Context-Aware Weblog to Enhance Communication among Participants in a Conference. | Kosuke Numa, Hideaki Takeda, Takuichi Nishimura, Yutaka Matsuo, Masahiro Hamasaki, Noriyuki Fujimura, Keisuke Ishida, Tom Hope, Yoshiyuki Nakamura, Satoshi Fujiyoshi, Kazuya Sakamoto, Hiroshi Nagata, Osamu Nakagawa, Eiji Shinbori |