Jordan L. Boyd-Graber

213 papers A* 38A 8B 5Journal 76Unranked 80

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Discrepancy Detection at the Data Level: Toward Consistent Multilingual Question Answering. CoRR Lorena Calvo-Bartolomé, Valérie Aldana, Karla Cantarero, Alonso Madroñal de Mesa, Jerónimo Arenas-García, Jordan L. Boyd-Graber
2025	J	`jnl`	Large Language Models Struggle to Describe the Haystack without Human Help: Human-in-the-loop Evaluation of LLMs. CoRR Zongxia Li, Lorena Calvo-Bartolomé, Alexander Miserlis Hoyle, Paiheng Xu, Alden Dima, Juan Francisco Fung, Jordan L. Boyd-Graber
2025	J	`jnl`	MODS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collections. CoRR Nishant Balepur, Alexa F. Siu, Nedim Lipka, Franck Dernoncourt, Tong Sun, Jordan L. Boyd-Graber, Puneet Mathur
2025	J	`jnl`	NAVIG: Natural Language-guided Analysis with Vision Language Models for Image Geo-localization. CoRR Zheyuan Zhang, Runze Li, Tasnim Kabir, Jordan L. Boyd-Graber
2025	J	`jnl`	ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering. CoRR Alexander Miserlis Hoyle, Lorena Calvo-Bartolomé, Jordan L. Boyd-Graber, Philip Resnik
2025	J	`jnl`	Self-Rewarding Vision-Language Model via Reasoning Decomposition. CoRR Zongxia Li, Wenhao Yu, Chengsong Huang, Rui Liu, Zhenwen Liang, Fuxiao Liu, Jingxi Che, Dian Yu, Jordan L. Boyd-Graber, Haitao Mi, Dong Yu
2024	A*	`conf`	A SMART Mnemonic Sounds like "Glue Tonic": Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick. EMNLP Nishant Balepur, Matthew Shu, Alexander Miserlis Hoyle, Alison Robey, Shi Feng, Seraphina Goldfarb-Tarrant, Jordan L. Boyd-Graber
2024	J	`jnl`	A SMART Mnemonic Sounds like "Glue Tonic": Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick. CoRR Nishant Balepur, Matthew Shu, Alexander Miserlis Hoyle, Alison Robey, Shi Feng, Seraphina Goldfarb-Tarrant, Jordan L. Boyd-Graber
2024	—	`conf`	AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models. EMNLP (Findings) Xiyang Wu, Tianrui Guan, Dianqi Li, Shuaiyi Huang, Xiaoyu Liu, Xijun Wang, Ruiqi Xian, Abhinav Shrivastava, Furong Huang, Jordan L. Boyd-Graber, Tianyi Zhou, Dinesh Manocha
2024	J	`jnl`	Beyond Automated Evaluation Metrics: Evaluating Topic Models On Practical Social Science Content Analysis Tasks. CoRR Zongxia Li, Andrew Mao, Daniel Kofi Stephens, Pranav Goel, Emily Walpole, Alden Dima, Juan Fung, Jordan L. Boyd-Graber
2024	A*	`conf`	Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA. EMNLP Maharshi Gor, Hal Daumé III, Tianyi Zhou, Jordan L. Boyd-Graber
2024	J	`jnl`	Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA. CoRR Maharshi Gor, Hal Daumé III, Tianyi Zhou, Jordan L. Boyd-Graber
2024	J	`jnl`	How the Advent of Ubiquitous Large Language Models both Stymie and Turbocharge Dynamic Adversarial Question Generation. CoRR Yoo Yeon Sung, Ishani Mondal, Jordan L. Boyd-Graber
2024	—	`conf`	Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis. EACL (1) Zongxia Li, Andrew Mao, Daniel Kofi Stephens, Pranav Goel, Emily Walpole, Alden Dima, Juan Fung, Jordan L. Boyd-Graber
2024	A*	`conf`	KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students. EMNLP Matthew Shu, Nishant Balepur, Shi Feng, Jordan L. Boyd-Graber
2024	J	`jnl`	KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students. CoRR Matthew Shu, Nishant Balepur, Shi Feng, Jordan L. Boyd-Graber
2024	—	`conf`	Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong. NAACL-HLT Chenglei Si, Navita Goyal, Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber
2024	—	`conf`	More Victories, Less Cooperation: Assessing Cicero's Diplomacy Play. ACL (1) Wichayaporn Wongkamjan, Feng Gu, Yanze Wang, Ulf Hermjakob, Jonathan May, Brandon M. Stewart, Jonathan K. Kummerfeld, Denis Peskoff, Jordan L. Boyd-Graber
2024	—	`conf`	PEDANTS: Cheap but Effective and Interpretable Answer Equivalence. EMNLP (Findings) Zongxia Li, Ishani Mondal, Huy Nghiem, Yijun Liang, Jordan L. Boyd-Graber
2024	—	`conf`	Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering. NAACL-HLT Neha Srikanth, Rupak Sarkar, Heran Mane, Elizabeth Aparicio, Quynh C. Nguyen, Rachel Rudinger, Jordan L. Boyd-Graber
2024	—	`conf`	Presentations by the Humans and For the Humans: Harnessing LLMs for Generating Persona-Aware Slides from Documents. EACL (1) Ishani Mondal, Shwetha S, Anandhavelu Natarajan, Aparna Garimella, Sambaran Bandyopadhyay, Jordan L. Boyd-Graber
2024	—	`conf`	Rapidly Piloting Real-time Linguistic Assistance for Simultaneous Interpreters with Untrained Bilingual Surrogates. LREC/COLING Alvin Grissom II, Jo Shoemaker, Benjamin Goldman, Ruikang Shi, Craig Stewart, C. Anton Rytting, Leah Findlater, Jordan L. Boyd-Graber
2024	J	`jnl`	Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Can't Answer? CoRR Nishant Balepur, Feng Gu, Abhilasha Ravichander, Shi Feng, Jordan L. Boyd-Graber, Rachel Rudinger
2024	—	`conf`	SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement. EMNLP (Findings) Ishani Mondal, Zongxia Li, Yufang Hou, Anandhavelu Natarajan, Aparna Garimella, Jordan L. Boyd-Graber
2024	J	`jnl`	SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement. CoRR Ishani Mondal, Zongxia Li, Yufang Hou, Anandhavelu Natarajan, Aparna Garimella, Jordan L. Boyd-Graber
2024	A*	`conf`	You Make me Feel like a Natural Question: Training QA Systems on Transformed Trivia Questions. EMNLP Tasnim Kabir, Yoo Yeon Sung, Saptarashmi Bandyopadhyay, Hao Zou, Abhranil Chandra, Jordan L. Boyd-Graber
2023	A*	`conf`	Bridging Background Knowledge Gaps in Translation with Automatic Explicitation. EMNLP HyoJung Han, Jordan L. Boyd-Graber, Marine Carpuat
2023	—	`ed.`	Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023. ACL (Findings) Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki
2023	—	`conf`	Getting MoRE out of Mixture of Language Model Reasoning Experts. EMNLP (Findings) Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber
2023	A*	`conf`	Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition. EMNLP Sander Schulhoff, Jeremy Pinto, Anaum Khan, Louis-François Bouchard, Chenglei Si, Svetlina Anati, Valen Tagliabue, Anson Liu Kost, Christopher Carnahan, Jordan L. Boyd-Graber
2023	J	`jnl`	Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition. CoRR Sander Schulhoff, Jeremy Pinto, Anaum Khan, Louis-François Bouchard, Chenglei Si, Svetlina Anati, Valen Tagliabue, Anson Liu Kost, Christopher Carnahan, Jordan L. Boyd-Graber
2023	J	`jnl`	InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction. CoRR Ishani Mondal, Michelle Yuan, Anandhavelu Natarajan, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, Jordan L. Boyd-Graber
2023	J	`jnl`	Labeled Interactive Topic Models. CoRR Kyle Seelman, Mozhi Zhang, Jordan L. Boyd-Graber
2023	J	`jnl`	Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong. CoRR Chenglei Si, Navita Goyal, Sherry Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber
2023	J	`jnl`	MegaWika: Millions of reports and their sources across 50 diverse languages. CoRR Samuel Barham, Orion Weller, Michelle Yuan, Kenton Murray, Mahsa Yarmohammadi, Zhengping Jiang, Siddharth Vashishtha, Alexander Martin, Anqi Liu, Aaron Steven White, Jordan L. Boyd-Graber, Benjamin Van Durme
2023	J	`jnl`	Mixture of Prompt Experts for Generalizable and Interpretable Question Answering. CoRR Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber
2023	A*	`conf`	Not all Fake News is Written: A Dataset and Analysis of Misleading Video Headlines. EMNLP Yoo Yeon Sung, Jordan L. Boyd-Graber, Naeemul Hassan
2023	J	`jnl`	Not all Fake News is Written: A Dataset and Analysis of Misleading Video Headlines. CoRR Yoo Yeon Sung, Jordan L. Boyd-Graber, Naeemul Hassan
2023	—	`ed.`	Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023. ACL (1) Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki
2023	—	`ed.`	Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), ACL 2023, Toronto, Canada, July 9-14, 2023. ACL (2) Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki
2023	A*	`conf`	Prompting GPT-3 To Be Reliable. ICLR Chenglei Si, Zhe Gan, Zhengyuan Yang, Shuohang Wang, Jianfeng Wang, Jordan L. Boyd-Graber, Lijuan Wang
2023	J	`jnl`	Towards Pragmatic Awareness in Question Answering: A Case Study in Maternal and Infant Health. CoRR Neha Srikanth, Rupak Sarkar, Rachel Rudinger, Jordan L. Boyd-Graber
2022	—	`conf`	Adapting Coreference Resolution Models through Active Learning. ACL (1) Michelle Yuan, Patrick Xia, Chandler May, Benjamin Van Durme, Jordan L. Boyd-Graber
2022	—	`conf`	Automatic Song Translation for Tonal Languages. ACL (Findings) Fenfei Guo, Chen Zhang, Zhirui Zhang, Qixin He, Kejun Zhang, Jun Xie, Jordan L. Boyd-Graber
2022	J	`jnl`	Automatic Song Translation for Tonal Languages. CoRR Fenfei Guo, Chen Zhang, Zhirui Zhang, Qixin He, Kejun Zhang, Jun Xie, Jordan L. Boyd-Graber
2022	—	`conf`	Cheater's Bowl: Human vs. Computer Search Strategies for Open-Domain QA. EMNLP (Findings) Wanrong He, Andrew Mao, Jordan L. Boyd-Graber
2022	J	`jnl`	Cheater's Bowl: Human vs. Computer Search Strategies for Open-Domain Question Answering. CoRR Wanrong He, Andrew Mao, Jordan L. Boyd-Graber
2022	J	`jnl`	Improving Question Answering with Generation of NQ-like Questions. CoRR Saptarashmi Bandyopadhyay, Shraman Pal, Hao Zou, Abhranil Chandra, Jordan L. Boyd-Graber
2022	A*	`conf`	Learning to Explain Selectively: A Case Study on Question Answering. EMNLP Shi Feng, Jordan L. Boyd-Graber
2022	—	`conf`	Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability. ACL (1) Yoshinari Fujinuma, Jordan L. Boyd-Graber, Katharina Kann
2022	J	`jnl`	Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability. CoRR Yoshinari Fujinuma, Jordan L. Boyd-Graber, Katharina Kann
2022	J	`jnl`	Prompting GPT-3 To Be Reliable. CoRR Chenglei Si, Zhe Gan, Zhengyuan Yang, Shuohang Wang, Jianfeng Wang, Jordan L. Boyd-Graber, Lijuan Wang
2022	—	`conf`	Re-Examining Calibration: The Case of Question Answering. EMNLP (Findings) Chenglei Si, Chen Zhao, Sewon Min, Jordan L. Boyd-Graber
2022	J	`jnl`	Revisiting Calibration for Question Answering. CoRR Chenglei Si, Chen Zhao, Sewon Min, Jordan L. Boyd-Graber
2022	A*	`conf`	SimQA: Detecting Simultaneous MT Errors through Word-by-Word Question Answering. EMNLP HyoJung Han, Marine Carpuat, Jordan L. Boyd-Graber
2021	—	`conf`	Adapting Entities across Languages and Cultures. EMNLP (Findings) Denis Peskov, Viktor Hangya, Jordan L. Boyd-Graber, Alexander Fraser
2021	J	`jnl`	Adaptive Active Learning for Coreference Resolution. CoRR Michelle Yuan, Patrick Xia, Benjamin Van Durme, Jordan L. Boyd-Graber
2021	J	`jnl`	Complex Factoid Question Answering with a Free-Text Knowledge Graph. CoRR Chen Zhao, Chenyan Xiong, Xin Qian, Jordan L. Boyd-Graber
2021	—	`conf`	Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation. EMNLP (1) Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III
2021	J	`jnl`	Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation. CoRR Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III
2021	—	`conf`	Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? ACL/IJCNLP (1) Pedro Rodriguez, Joe Barrow, Alexander Miserlis Hoyle, John P. Lalor, Robin Jia, Jordan L. Boyd-Graber
2021	—	`conf`	Evaluation Paradigms in Question Answering. EMNLP (1) Pedro Rodriguez, Jordan L. Boyd-Graber
2021	—	`conf`	Fool Me Twice: Entailment from Wikipedia Gamification. NAACL-HLT Julian Martin Eisenschlos, Bhuwan Dhingra, Jannis Bulian, Benjamin Börschinger, Jordan L. Boyd-Graber
2021	J	`jnl`	Fool Me Twice: Entailment from Wikipedia Gamification. CoRR Julian Martin Eisenschlos, Bhuwan Dhingra, Jannis Bulian, Benjamin Börschinger, Jordan L. Boyd-Graber
2021	A*	`conf`	Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence. NeurIPS Alexander Miserlis Hoyle, Pranav Goel, Andrew Hian-Cheong, Denis Peskov, Jordan L. Boyd-Graber, Philip Resnik
2021	J	`jnl`	Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence. CoRR Alexander Miserlis Hoyle, Pranav Goel, Denis Peskov, Andrew Hian-Cheong, Jordan L. Boyd-Graber, Philip Resnik
2021	—	`conf`	Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval. NAACL-HLT Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III
2021	J	`jnl`	Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval. CoRR Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III
2021	J	`jnl`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
2021	—	`conf`	Toward Deconfounding the Effect of Entity Demographics for Question Answering Accuracy. EMNLP (1) Maharshi Gor, Kellie Webster, Jordan L. Boyd-Graber
2021	J	`jnl`	Towards Deconfounding the Influence of Subject's Demographic Characteristics in Question Answering. CoRR Maharshi Gor, Kellie Webster, Jordan L. Boyd-Graber
2021	—	`conf`	What's in a Name? Answer Equivalence For Open-Domain Question Answering. EMNLP (1) Chenglei Si, Chen Zhao, Jordan L. Boyd-Graber
2021	J	`jnl`	What's in a Name? Answer Equivalence For Open-Domain Question Answering. CoRR Chenglei Si, Chen Zhao, Jordan L. Boyd-Graber
2020	—	`conf`	An Attentive Recurrent Model for Incremental Prediction of Sentence-final Verbs. EMNLP (Findings) Wenyan Li, Alvin Grissom II, Jordan L. Boyd-Graber
2020	J	`jnl`	CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims. CoRR Thomas Diggelmann, Jordan L. Boyd-Graber, Jannis Bulian, Massimiliano Ciaramita, Markus Leippold
2020	J	`jnl`	ClimaText: A Dataset for Climate Change Topic Detection. CoRR Francesco S. Varini, Jordan L. Boyd-Graber, Massimiliano Ciaramita, Markus Leippold
2020	—	`conf`	Cold-start Active Learning through Self-supervised Language Modeling. EMNLP (1) Michelle Yuan, Hsuan-Tien Lin, Jordan L. Boyd-Graber
2020	J	`jnl`	Cold-start Active Learning through Self-supervised Language Modeling. CoRR Michelle Yuan, Hsuan-Tien Lin, Jordan L. Boyd-Graber
2020	A*	`conf`	Complex Factoid Question Answering with a Free-Text Knowledge Graph. WWW Chen Zhao, Chenyan Xiong, Xin Qian, Jordan L. Boyd-Graber
2020	A	`conf`	Digging into user control: perceptions of adherence and instability in transparent models. IUI Alison Smith-Renner, Varun Kumar, Jordan L. Boyd-Graber, Kevin D. Seppi, Leah Findlater
2020	A*	`conf`	Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification. AAAI Mozhi Zhang, Yoshinari Fujinuma, Jordan L. Boyd-Graber
2020	—	`conf`	Interactive Refinement of Cross-Lingual Word Embeddings. EMNLP (1) Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan L. Boyd-Graber
2020	A*	`conf`	It Takes Two to Lie: One to Lie, and One to Listen. ACL Denis Peskov, Benny Cheng, Ahmed Elgohary, Joe Barrow, Cristian Danescu-Niculescu-Mizil, Jordan L. Boyd-Graber
2020	—	`conf`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
2020	A*	`conf`	No Explainability without Accountability: An Empirical Study of Explanations and Feedback in Interactive ML. CHI Alison Smith-Renner, Ron Fan, Melissa Birchfield, Tongshuang Wu, Jordan L. Boyd-Graber, Daniel S. Weld, Leah Findlater
2020	—	`conf`	On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries. EMNLP (Findings) Tianze Shi, Chen Zhao, Jordan L. Boyd-Graber, Hal Daumé III, Lillian Lee
2020	J	`jnl`	On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries. CoRR Tianze Shi, Chen Zhao, Jordan L. Boyd-Graber, Hal Daumé III, Lillian Lee
2020	A*	`conf`	What Question Answering can Learn from Trivia Nerds. ACL Jordan L. Boyd-Graber, Benjamin Börschinger
2020	B	`conf`	Which Evaluations Uncover Sense Representations that Actually Make Sense? LREC Jordan L. Boyd-Graber, Fenfei Guo, Leah Findlater, Mohit Iyyer
2020	A*	`conf`	Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries. ACL Mozhi Zhang, Yoshinari Fujinuma, Michael J. Paul, Jordan L. Boyd-Graber
2020	J	`jnl`	Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries. CoRR Mozhi Zhang, Yoshinari Fujinuma, Michael J. Paul, Jordan L. Boyd-Graber
2019	—	`conf`	A Multilingual Topic Model for Learning Weighted Topic Links Across Corpora with Low Comparability. EMNLP/IJCNLP (1) Weiwei Yang, Jordan L. Boyd-Graber, Philip Resnik
2019	—	`conf`	A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity. ACL (1) Yoshinari Fujinuma, Jordan L. Boyd-Graber, Michael J. Paul
2019	J	`jnl`	A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity. CoRR Yoshinari Fujinuma, Jordan L. Boyd-Graber, Michael J. Paul
2019	—	`conf`	Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization. ACL (1) Mozhi Zhang, Keyulu Xu, Ken-ichi Kawarabayashi, Stefanie Jegelka, Jordan L. Boyd-Graber
2019	J	`jnl`	Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization. CoRR Mozhi Zhang, Keyulu Xu, Ken-ichi Kawarabayashi, Stefanie Jegelka, Jordan L. Boyd-Graber
2019	—	`conf`	Automatic Evaluation of Local Topic Quality. ACL (1) Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Courtni Byun, Jordan L. Boyd-Graber, Kevin D. Seppi
2019	J	`jnl`	Automatic Evaluation of Local Topic Quality. CoRR Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Courtni Byun, Jordan L. Boyd-Graber, Kevin D. Seppi
2019	—	`conf`	Can You Unpack That? Learning to Rewrite Questions-in-Context. EMNLP/IJCNLP (1) Ahmed Elgohary, Denis Peskov, Jordan L. Boyd-Graber
2019	J	`jnl`	Interactive Refinement of Cross-Lingual Word Embeddings. CoRR Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan L. Boyd-Graber
2019	J	`jnl`	Meta Answering for Machine Reading. CoRR Benjamin Börschinger, Jordan L. Boyd-Graber, Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Michelle Chen Huebscher, Wojciech Gajewski, Yannic Kilcher, Rodrigo Nogueira, Lierni Sestorain Saralegu
2019	—	`conf`	Misleading Failures of Partial-input Baselines. ACL (1) Shi Feng, Eric Wallace, Jordan L. Boyd-Graber
2019	J	`jnl`	Misleading Failures of Partial-input Baselines. CoRR Shi Feng, Eric Wallace, Jordan L. Boyd-Graber
2019	A	`conf`	Mitigating Noisy Inputs for Question Answering. INTERSPEECH Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, Jordan L. Boyd-Graber
2019	J	`jnl`	Mitigating Noisy Inputs for Question Answering. CoRR Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, Jordan L. Boyd-Graber
2019	J	`jnl`	Quizbowl: The Case for Incremental Question Answering. CoRR Pedro Rodriguez, Shi Feng, Mohit Iyyer, He He, Jordan L. Boyd-Graber
2019	J	`jnl`	Trick Me If You Can: Human-in-the-loop Generation of Adversarial Question Answering Examples. Trans. Assoc. Comput. Linguistics Eric Wallace, Pedro Rodriguez, Shi Feng, Ikuya Yamada, Jordan L. Boyd-Graber
2019	J	`jnl`	What Question Answering can Learn from Trivia Nerds. CoRR Jordan L. Boyd-Graber
2019	A	`conf`	What can AI do for me?: evaluating machine learning interpretations in cooperative play. IUI Shi Feng, Jordan L. Boyd-Graber
2019	—	`conf`	Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models. ACL (1) Varun Kumar, Alison Smith-Renner, Leah Findlater, Kevin D. Seppi, Jordan L. Boyd-Graber
2019	J	`jnl`	Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models. CoRR Varun Kumar, Alison Smith-Renner, Leah Findlater, Kevin D. Seppi, Jordan L. Boyd-Graber
2018	A*	`conf`	A dataset and baselines for sequential open-domain question answering. EMNLP Ahmed Elgohary, Chen Zhao, Jordan L. Boyd-Graber
2018	—	`conf`	Automatic Estimation of Simultaneous Interpreter Performance. ACL (2) Craig Stewart, Nikolai Vogler, Junjie Hu, Jordan L. Boyd-Graber, Graham Neubig
2018	J	`jnl`	Automatic Estimation of Simultaneous Interpreter Performance. CoRR Craig Stewart, Nikolai Vogler, Junjie Hu, Jordan L. Boyd-Graber, Graham Neubig
2018	A	`conf`	Closing the Loop: User-Centered Design and Evaluation of a Human-in-the-Loop Topic Modeling System. IUI Alison Smith, Varun Kumar, Jordan L. Boyd-Graber, Kevin D. Seppi, Leah Findlater
2018	J	`jnl`	Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification. CoRR Mozhi Zhang, Yoshinari Fujinuma, Jordan L. Boyd-Graber
2018	J	`jnl`	Inducing and Embedding Senses with Scaled Gumbel Softmax. CoRR Fenfei Guo, Mohit Iyyer, Jordan L. Boyd-Graber
2018	J	`jnl`	Interpreting Neural Networks With Nearest Neighbors. CoRR Eric Wallace, Shi Feng, Jordan L. Boyd-Graber
2018	—	`conf`	Interpreting Neural Networks with Nearest Neighbors. BlackboxNLP@EMNLP Eric Wallace, Shi Feng, Jordan L. Boyd-Graber
2018	B	`conf`	Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types. COLING Paul Felt, Eric K. Ringger, Jordan L. Boyd-Graber, Kevin D. Seppi
2018	—	`conf`	Learning to Color from Language. NAACL-HLT (2) Varun Manjunatha, Mohit Iyyer, Jordan L. Boyd-Graber, Larry S. Davis
2018	J	`jnl`	Learning to Color from Language. CoRR Varun Manjunatha, Mohit Iyyer, Jordan L. Boyd-Graber, Larry S. Davis
2018	—	`conf`	Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation. NAACL-HLT Shudong Hao, Jordan L. Boyd-Graber, Michael J. Paul
2018	J	`jnl`	Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation. CoRR Shudong Hao, Jordan L. Boyd-Graber, Michael J. Paul
2018	A*	`conf`	Pathologies of Neural Models Make Interpretation Difficult. EMNLP Shi Feng, Eric Wallace, Alvin Grissom II, Mohit Iyyer, Pedro Rodriguez, Jordan L. Boyd-Graber
2018	J	`jnl`	Right Answer for the Wrong Reason: Discovery and Mitigation. CoRR Shi Feng, Eric Wallace, Mohit Iyyer, Pedro Rodriguez, Alvin Grissom II, Jordan L. Boyd-Graber
2018	—	`conf`	Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions. ACL (3) Eric Wallace, Jordan L. Boyd-Graber
2018	J	`jnl`	Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions. CoRR Eric Wallace, Pedro Rodriguez, Shi Feng, Jordan L. Boyd-Graber
2018	J	`jnl`	What can AI do for me: Evaluating Machine Learning Interpretations in Cooperative Play. CoRR Shi Feng, Jordan L. Boyd-Graber
2017	A*	`conf`	Adapting Topic Models using Lexical Associations with Tree Priors. EMNLP Weiwei Yang, Jordan L. Boyd-Graber, Philip Resnik
2017	J	`jnl`	Applications of Topic Models. Found. Trends Inf. Retr. Jordan L. Boyd-Graber, Yuening Hu, David M. Mimno
2017	J	`jnl`	Evaluating Visual Representations for Topic Understanding and Their Effects on Manually Generated Labels. Trans. Assoc. Comput. Linguistics Alison Smith, Tak Yeon Lee, Forough Poursabzi-Sangdeh, Jordan L. Boyd-Graber, Niklas Elmqvist, Leah Findlater
2017	—	`ed.`	Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Tutorial Abstracts ACL (Tutorial Abstracts) Maja Popovic, Jordan L. Boyd-Graber
2017	A*	`conf`	Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback. EMNLP Khanh Nguyen, Hal Daumé III, Jordan L. Boyd-Graber
2017	J	`jnl`	Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback. CoRR Khanh Nguyen, Hal Daumé III, Jordan L. Boyd-Graber
2017	—	`conf`	Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling. ACL (1) Jeffrey Lund, Connor Cook, Kevin D. Seppi, Jordan L. Boyd-Graber
2017	A*	`conf`	The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives. CVPR Mohit Iyyer, Varun Manjunatha, Anupam Guha, Yogarshi Vyas, Jordan L. Boyd-Graber, Hal Daumé III, Larry S. Davis
2017	J	`jnl`	The human touch: How non-expert users perceive, interpret, and fix topic models. Int. J. Hum. Comput. Stud. Tak Yeon Lee, Alison Smith, Kevin D. Seppi, Niklas Elmqvist, Jordan L. Boyd-Graber, Leah Findlater
2017	A*	`conf`	Why ADAGRAD Fails for Online Topic Modeling. EMNLP You Lu, Jeffrey Lund, Jordan L. Boyd-Graber
2016	—	`conf`	A Discriminative Topic Model using Document Network Structure. ACL (1) Weiwei Yang, Jordan L. Boyd-Graber, Philip Resnik
2016	—	`conf`	ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling. ACL (1) Forough Poursabzi-Sangdeh, Jordan L. Boyd-Graber, Leah Findlater, Kevin D. Seppi
2016	—	`conf`	Bayesian Supervised Domain Adaptation for Short Text Similarity. HLT-NAACL Md. Arafat Sultan, Jordan L. Boyd-Graber, Tamara Sumner
2016	—	`conf`	Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships. HLT-NAACL Mohit Iyyer, Anupam Guha, Snigdha Chaturvedi, Jordan L. Boyd-Graber, Hal Daumé III
2016	B	`conf`	Incremental Prediction of Sentence-final Verbs: Humans versus Machines. CoNLL Alvin Grissom II, Naho Orita, Jordan L. Boyd-Graber
2016	—	`conf`	Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation. HLT-NAACL He He, Jordan L. Boyd-Graber, Hal Daumé III
2016	—	`conf`	Learning Text Pair Similarity with Context-sensitive Autoencoders. ACL (1) Hadi Amiri, Philip Resnik, Jordan L. Boyd-Graber, Hal Daumé III
2016	—	`conf`	Leveraging VerbNet to build Corpus-Specific Verb Clusters. *SEM@ACL Daniel W. Peterson, Jordan L. Boyd-Graber, Martha Palmer, Daisuke Kawahara
2016	A*	`conf`	Opponent Modeling in Deep Reinforcement Learning. ICML He He, Jordan L. Boyd-Graber
2016	J	`jnl`	Opponent Modeling in Deep Reinforcement Learning. CoRR He He, Jordan L. Boyd-Graber, Kevin Kwok, Hal Daumé III
2016	J	`jnl`	The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives. CoRR Mohit Iyyer, Varun Manjunatha, Anupam Guha, Yogarshi Vyas, Jordan L. Boyd-Graber, Hal Daumé III, Larry S. Davis
2015	—	`conf`	Beyond LDA: Exploring Supervised Topic Modeling for Depression-Related Language in Twitter. CLPsych@HLT-NAACL Philip Resnik, William Armstrong, Leonardo Max Batista Claudino, Thang Nguyen, Viet-An Nguyen, Jordan L. Boyd-Graber
2015	A*	`conf`	Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors. EMNLP Weiwei Yang, Jordan L. Boyd-Graber, Philip Resnik
2015	—	`conf`	Deep Unordered Composition Rivals Syntactic Methods for Text Classification. ACL (1) Mohit Iyyer, Varun Manjunatha, Jordan L. Boyd-Graber, Hal Daumé III
2015	A*	`conf`	Efficient Methods for Incorporating Knowledge into Topic Models. EMNLP Yi Yang, Doug Downey, Jordan L. Boyd-Graber
2015	—	`conf`	Is Your Anchor Going Up or Down? Fast and Accurate Supervised Topic Models. HLT-NAACL Thang Nguyen, Jordan L. Boyd-Graber, Jeffrey Lund, Kevin D. Seppi, Eric K. Ringger
2015	—	`conf`	Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game. ACL (1) Vlad Niculae, Srijan Kumar, Jordan L. Boyd-Graber, Cristian Danescu-Niculescu-Mizil
2015	J	`jnl`	Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game. CoRR Vlad Niculae, Srijan Kumar, Jordan L. Boyd-Graber, Cristian Danescu-Niculescu-Mizil
2015	B	`conf`	Making the Most of Crowdsourced Document Annotations: Confused Supervised LDA. CoNLL Paul Felt, Eric K. Ringger, Jordan L. Boyd-Graber, Kevin D. Seppi
2015	A*	`conf`	Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs. ICML Stephen H. Bach, Bert Huang, Jordan L. Boyd-Graber, Lise Getoor
2015	—	`conf`	Removing the Training Wheels: A Coreference Dataset that Entertains Humans and Challenges Computers. HLT-NAACL Anupam Guha, Mohit Iyyer, Danny Bouman, Jordan L. Boyd-Graber
2015	—	`conf`	Speeding Document Annotation with Topic Models. HLT-NAACL Forough Poursabzi-Sangdeh, Jordan L. Boyd-Graber
2015	J	`jnl`	Synchronous Machine Translation (NII Shonan Meeting 2015-10). NII Shonan Meet. Rep. Jordan L. Boyd-Graber, Hal Daumé III, Yusuke Miyao
2015	A*	`conf`	Syntax-based Rewriting for Simultaneous Machine Translation. EMNLP He He, Alvin Grissom II, John Morgan, Jordan L. Boyd-Graber, Hal Daumé III
2015	—	`conf`	Tea Party in the House: A Hierarchical Ideal Point Topic Model and Its Application to Republican Legislators in the 112th Congress. ACL (1) Viet-An Nguyen, Jordan L. Boyd-Graber, Philip Resnik, Kristina Miler
2014	A	`conf`	"Our Grief is Unspeakable": Automatically Measuring the Community Impact of a Tragedy. ICWSM Kimberly Glasgow, Clayton Fink, Jordan L. Boyd-Graber
2014	A*	`conf`	A Neural Network for Factoid Question Answering over Paragraphs. EMNLP Mohit Iyyer, Jordan L. Boyd-Graber, Leonardo Max Batista Claudino, Richard Socher, Hal Daumé III
2014	—	`conf`	Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms. ACL (1) Thang Nguyen, Yuening Hu, Jordan L. Boyd-Graber
2014	—	`ch.`	Care and Feeding of Topic Models. Handbook of Mixed Membership Models and Their Applications Jordan L. Boyd-Graber, David M. Mimno, David Newman
2014	A*	`conf`	Don't Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation. EMNLP Alvin Grissom II, He He, Jordan L. Boyd-Graber, John Morgan, Hal Daumé III
2014	J	`jnl`	Interactive topic modeling. Mach. Learn. Yuening Hu, Jordan L. Boyd-Graber, Brianna Satinoff, Alison Smith
2014	—	`conf`	Learning a Concept Hierarchy from Multi-labeled Documents. NIPS Viet-An Nguyen, Jordan L. Boyd-Graber, Philip Resnik, Jonathan D. Chang
2014	J	`jnl`	Modeling topic control to detect influence in conversations using nonparametric topic models. Mach. Learn. Viet-An Nguyen, Jordan L. Boyd-Graber, Philip Resnik, Deborah A. Cai, Jennifer E. Midberry, Yuanxin Wang
2014	J	`jnl`	Online Adaptor Grammars with Hybrid Inference. Trans. Assoc. Comput. Linguistics Ke Zhai, Jordan L. Boyd-Graber, Shay B. Cohen
2014	—	`conf`	Political Ideology Detection Using Recursive Neural Networks. ACL (1) Mohit Iyyer, Peter Enns, Jordan L. Boyd-Graber, Philip Resnik
2014	—	`conf`	Polylingual Tree-Based Topic Models for Translation Domain Adaptation. ACL (1) Yuening Hu, Ke Zhai, Vladimir Eidelman, Jordan L. Boyd-Graber
2014	—	`conf`	Quantifying the role of discourse topicality in speakers' choices of referring expressions. CMCL@ACL Naho Orita, Naomi Feldman, Jordan L. Boyd-Graber, Eliana Vornov
2014	A*	`conf`	Sometimes Average is Best: The Importance of Averaging for Prediction using MCMC Inference in Topic Modeling. EMNLP Viet-An Nguyen, Jordan L. Boyd-Graber, Philip Resnik
2013	—	`conf`	Argviz: Interactive Visualization of Topic Dynamics in Multi-party Conversations. HLT-NAACL Viet-An Nguyen, Yuening Hu, Jordan L. Boyd-Graber, Philip Resnik
2013	—	`conf`	Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent. NIPS Yuening Hu, Jordan L. Boyd-Graber, Hal Daumé III, Z. Irene Ying
2013	J	`jnl`	Dirichlet Mixtures, the Dirichlet Process, and the Structure of Protein Space. J. Comput. Biol. Viet-An Nguyen, Jordan L. Boyd-Graber, Stephen F. Altschul
2013	B	`conf`	Discovering Pronoun Categories using Discourse Information. CogSci Naho Orita, Rebecca McKeown, Naomi Feldman, Jeffrey Lidz, Jordan L. Boyd-Graber
2013	—	`conf`	Lexical and Hierarchical Topic Regression. NIPS Viet-An Nguyen, Jordan L. Boyd-Graber, Philip Resnik
2013	—	`conf`	Online Latent Dirichlet Allocation with Infinite Vocabulary. ICML (1) Ke Zhai, Jordan L. Boyd-Graber
2013	—	`conf`	Spoiler alert: Machine learning approaches to detect social media posts with revelatory information. ASIST Jordan L. Boyd-Graber, Kimberly Glasgow, Jackie Sauter Zajac
2012	—	`conf`	Besting the Quiz Master: Crowdsourcing Incremental Classification Games. EMNLP-CoNLL Jordan L. Boyd-Graber, Brianna Satinoff, He He, Hal Daumé III
2012	—	`ch.`	Collecting Semantic Similarity Ratings to Connect Concepts in Assistive Communication Tools. Modeling, Learning, and Processing of Text Technological Data Structures Sonya S. Nikolova, Jordan L. Boyd-Graber, Christiane Fellbaum
2012	—	`conf`	Efficient Tree-Based Topic Modeling. ACL (2) Yuening Hu, Jordan L. Boyd-Graber
2012	—	`conf`	Grammatical structures for word-level sentiment detection. HLT-NAACL Asad B. Sayeed, Jordan L. Boyd-Graber, Bryan Rusk, Amy Weinberg
2012	A*	`conf`	Modeling Images using Transformed Indian Buffet Processes. ICML Ke Zhai, Yuening Hu, Jordan L. Boyd-Graber, Sinead Williamson
2012	A*	`conf`	Mr. LDA: a flexible large scale topic modeling package using variational inference in MapReduce. WWW Ke Zhai, Jordan L. Boyd-Graber, Sebastian Bruch, Mohamad L. Alkhouja
2012	J	`jnl`	Multilingual Topic Models for Unaligned Text CoRR Jordan L. Boyd-Graber, David M. Blei
2012	—	`conf`	SITS: A Hierarchical Nonparametric Model using Speaker Identity for Topic Segmentation in Multiparty Conversations. ACL (1) Viet-An Nguyen, Jordan L. Boyd-Graber, Philip Resnik
2012	—	`conf`	Topic Models for Dynamic Translation Model Adaptation. ACL (2) Vladimir Eidelman, Jordan L. Boyd-Graber, Philip Resnik
2011	—	`conf`	Believe Me - We Can Do This! Annotating Persuasive Acts in Blog Text. Computational Models of Natural Argument Pranav Anand, Joseph King, Jordan L. Boyd-Graber, Earl Wagner, Craig H. Martell, Douglas W. Oard, Philip Resnik
2011	—	`conf`	Comparing values and sentiment using Mechanical Turk. iConference Thomas Clay Templeton, Kenneth R. Fleischmann, Jordan L. Boyd-Graber
2011	A*	`conf`	Interactive Topic Modeling. ACL Yuening Hu, Jordan L. Boyd-Graber, Brianna Satinoff
2011	—	`conf`	Modeling diverse standpoints in text classification: learning to be human by modeling human values. iConference Kenneth R. Fleischmann, Thomas Clay Templeton, Jordan L. Boyd-Graber
2011	—	`conf`	Simulating Audiences: Automating Analysis of Values, Attitudes, and Sentiment. SocialCom/PASSAT Thomas Clay Templeton, Kenneth R. Fleischmann, Jordan L. Boyd-Graber
2011	J	`jnl`	Using Variational Inference and MapReduce to Scale Topic Modeling CoRR Ke Zhai, Jordan L. Boyd-Graber, Sebastian Bruch
2010	A*	`conf`	Holistic Sentiment Analysis Across Languages: Multilingual Supervised Latent Dirichlet Allocation. EMNLP Jordan L. Boyd-Graber, Philip Resnik
2010	—	`conf`	Measuring Transitivity Using Untrained Annotators. Mturk@HLT-NAACL Nitin Madnani, Jordan L. Boyd-Graber, Philip Resnik
2010	A*	`conf`	Modeling Perspective Using Adaptor Grammars. EMNLP Eric Hardisty, Jordan L. Boyd-Graber, Philip Resnik
2010	J	`jnl`	Syntactic Topic Models CoRR Jordan L. Boyd-Graber, David M. Blei
2009	A	`conf`	Better vocabularies for assistive communication aids: connecting terms using semantic networks and untrained annotators. ASSETS Sonya S. Nikolova, Jordan L. Boyd-Graber, Christiane Fellbaum, Perry R. Cook
2009	A*	`conf`	Connections between the lines: augmenting social networks with text. KDD Jonathan D. Chang, Jordan L. Boyd-Graber, David M. Blei
2009	A	`conf`	Multilingual Topic Models for Unaligned Text. UAI Jordan L. Boyd-Graber, David M. Blei
2009	—	`conf`	Reading Tea Leaves: How Humans Interpret Topic Models. NIPS Jonathan D. Chang, Jordan L. Boyd-Graber, Sean Gerrish, Chong Wang, David M. Blei
2009	A	`conf`	Speaking through pictures: images vs. icons. ASSETS Xiaojuan Ma, Jordan L. Boyd-Graber, Sonya S. Nikolova, Perry R. Cook
2009	—	`conf`	The design of ViVA: a mixed-initiative visual vocabulary for aphasia. CHI Extended Abstracts Sonya S. Nikolova, Jordan L. Boyd-Graber, Perry R. Cook
2008	—	`conf`	Syntactic Topic Models. NIPS Jordan L. Boyd-Graber, David M. Blei
2007	—	`conf`	A Topic Model for Word Sense Disambiguation. EMNLP-CoNLL Jordan L. Boyd-Graber, David M. Blei, Xiaojin Zhu
2007	—	`conf`	PUTOP: Turning Predominant Senses into a Topic Model for Word Sense Disambiguation. SemEval@ACL Jordan L. Boyd-Graber, David M. Blei
2006	A*	`conf`	Participatory design with proxies: developing a desktop-PDA system to support people with aphasia. CHI Jordan L. Boyd-Graber, Sonya S. Nikolova, Karyn Moffatt, Kenrick C. Kin, Joshua Y. Lee, Lester W. Mackey, Marilyn Tremaine, Maria M. Klawe