Christopher Potts
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
81
Venues
16
Active years
2009–2025
Best venue rank
A*
Where they publish
Papers
81 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CogSci | Exploring the mechanisms that enable multimodal reasoning about data visualizations in vision-language models. | Alexa R. Tartaglini, Christopher Potts, Judith E. Fan |
| 2025 | ECIR | ColBERT-Serve: Efficient Multi-stage Memory-Mapped Scoring. | Kaili Huang, Thejas Venkatesh, Uma Dingankar, Antonio Mallia, Daniel Campos, Jian Jiao, Christopher Potts, Matei Zaharia, Kwabena Boahen, Omar Khattab, Saarthak Sarup, Keshav Santhanam |
| 2025 | EMNLP | Causal Interventions Reveal Shared Structure Across English Filler-Gap Constructions. | Sasha Boguraev, Christopher Potts, Kyle Mahowald |
| 2025 | EMNLP | Distinguishing fair from unfair compositional generalization tasks. | Ahmad Jabbar, Cleo Condoravdi, Christopher Potts |
| 2025 | EMNLP | False Friends Are Not Foes: Investigating Vocabulary Overlap in Multilingual Language Models. | Julie Kallini, Dan Jurafsky, Christopher Potts, Martijn Bartelds |
| 2025 | ICLR | MrT5: Dynamic Token Merging for Efficient Byte-level Language Models. | Julie Kallini, Shikhar Murty, Christopher D. Manning, Christopher Potts, Rbert Csords |
| 2025 | ICLR | HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks. | Jiuding Sun, Jing Huang, Sidharth Baskaran, Karel D'Oosterlinck, Christopher Potts, Michael Sklar, Atticus Geiger |
| 2025 | ICLR | Improving Pretraining Data Using Perplexity Correlations. | Tristan Thrush, Christopher Potts, Tatsunori Hashimoto |
| 2025 | ICML | Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors. | Jing Huang, Junyi Tao, Thomas Icard, Diyi Yang, Christopher Potts |
| 2025 | ICML | AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders. | Zhengxuan Wu, Aryaman Arora, Atticus Geiger, Zheng Wang, Jing Huang, Dan Jurafsky, Christopher D. Manning, Christopher Potts |
| 2025 | SIGIR | WARP: An Efficient Engine for Multi-Vector Retrieval. | Jan Luca Scheerer, Matei Zaharia, Christopher Potts, Gustavo Alonso, Omar Khattab |
| 2024 | ACL | CausalGym: Benchmarking causal interpretability methods on linguistic tasks. | Aryaman Arora, Dan Jurafsky, Christopher Potts |
| 2024 | ACL | RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations. | Jing Huang, Zhengxuan Wu, Christopher Potts, Mor Geva, Atticus Geiger |
| 2024 | ACL | Mission: Impossible Language Models. | Julie Kallini, Isabel Papadimitriou, Richard Futrell, Kyle Mahowald, Christopher Potts |
| 2024 | ACL | I am a Strange Dataset: Metalinguistic Tests for Language Models. | Tristan Thrush, Jared Moore, Miguel Monares, Christopher Potts, Douwe Kiela |
| 2024 | CogSci | Is the asymmetry in negative strengthening the result of adjectival polarity or face considerations? | Sarang Jeong, Christopher Potts, Judith Degen |
| 2024 | CogSci | Evaluating human and machine understanding of data visualizations. | Arnav Verma, Kushin Mukherjee, Christopher Potts, Elisa Kreiss, Judith E. Fan |
| 2024 | EMNLP | Demystifying Verbatim Memorization in Large Language Models. | Jing Huang, Diyi Yang, Christopher Potts |
| 2024 | EMNLP | AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset. | Dante Everaert, Rohit Patki, Tianqi Zheng, Christopher Potts |
| 2024 | EMNLP | Retrieval Augmented Spelling Correction for E-Commerce Applications. | Xuan Guo, Rohit Patki, Dante Everaert, Christopher Potts |
| 2024 | EMNLP | CommVQA: Situating Visual Question Answering in Communicative Contexts. | Nandita Naik, Christopher Potts, Elisa Kreiss |
| 2024 | EMNLP | Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs. | Krista Opsahl-Ong, Michael J. Ryan, Josh Purtell, David Broman, Christopher Potts, Matei Zaharia, Omar Khattab |
| 2024 | EMNLP | Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together. | Dilara Soylu, Christopher Potts, Omar Khattab |
| 2024 | EMNLP | Updating CLIP to Prefer Descriptions Over Captions. | Amir Zur, Elisa Kreiss, Karel D'Oosterlinck, Christopher Potts, Atticus Geiger |
| 2024 | ICLR | GIO: Gradient Information Optimization for Training Dataset Selection. | Dante Everaert, Christopher Potts |
| 2024 | ICLR | DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines. | Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, Zhiyuan Zhang, Keshav Santhanam, Sri Vardhamanan, Saiful Haq, Ashutosh Sharma, Thomas T. Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, Christopher Potts |
| 2024 | ICLR | ContextRef: Evaluating Referenceless Metrics for Image Description Generation. | Elisa Kreiss, Eric Zelikman, Christopher Potts, Nick Haber |
| 2024 | NAACL | ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems. | Jon Saad-Falcon, Omar Khattab, Christopher Potts, Matei Zaharia |
| 2024 | NAACL | pyvene: A Library for Understanding and Improving PyTorch Models via Interventions. | Zhengxuan Wu, Atticus Geiger, Aryaman Arora, Jing Huang, Zheng Wang, Noah D. Goodman, Christopher D. Manning, Christopher Potts |
| 2023 | ACL | Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training. | Jing Huang, Zhengxuan Wu, Kyle Mahowald, Christopher Potts |
| 2023 | ACL | Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking. | Keshav Santhanam, Jon Saad-Falcon, Martin Franz, Omar Khattab, Avi Sil, Radu Florian, Md. Arafat Sultan, Salim Roukos, Matei Zaharia, Christopher Potts |
| 2023 | ACL | ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning. | Jingyuan Selena She, Christopher Potts, Samuel R. Bowman, Atticus Geiger |
| 2023 | ACL | Detecting Contradictory COVID-19 Drug Efficacy Claims from Biomedical Literature. | Daniel N. Sosa, Malavika Suresh, Christopher Potts, Russ B. Altman |
| 2023 | CogSci | Psychologically-informed chain-of-thought prompts for metaphor understanding in large language models. | Ben Prystawski, Paul H. Thibodeau, Christopher Potts, Noah D. Goodman |
| 2023 | EACL | Lexical Semantics with Large Language Models: A Case Study of English "break". | Erika Petersen, Christopher Potts |
| 2023 | EMNLP | BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance. | Karel D'Oosterlinck, Franois Remy, Johannes Deleu, Thomas Demeester, Chris Develder, Klim Zaporojets, Aneiss Ghodsi, Simon Ellershaw, Jack Collins, Christopher Potts |
| 2023 | EMNLP | UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers. | Jon Saad-Falcon, Omar Khattab, Keshav Santhanam, Radu Florian, Martin Franz, Salim Roukos, Avirup Sil, Md. Arafat Sultan, Christopher Potts |
| 2023 | EMNLP | Multi-teacher Distillation for Multilingual Spelling Correction. | Jingfen Zhang, Xuan Guo, Sravan Bodapati, Christopher Potts |
| 2023 | EMNLP | MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions. | Zexuan Zhong, Zhengxuan Wu, Christopher D. Manning, Christopher Potts, Danqi Chen |
| 2023 | ICML | Causal Proxy Models for Concept-based Model Explanations. | Zhengxuan Wu, Karel D'Oosterlinck, Atticus Geiger, Amir Zur, Christopher Potts |
| 2022 | CIKM | PLAID: An Efficient Engine for Late Interaction Retrieval. | Keshav Santhanam, Omar Khattab, Christopher Potts, Matei Zaharia |
| 2022 | CogSci | Color Overmodification Emerges from Data-Driven Learning and Pragmatic Reasoning. | Fei Fang, Kunal Sinha, Noah D. Goodman, Christopher Potts, Elisa Kreiss |
| 2022 | EMNLP | Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics. | Elisa Kreiss, Cynthia L. Bennett, Shayan Hooshmand, Eric Zelikman, Meredith Ringel Morris, Christopher Potts |
| 2022 | EMNLP | Concadia: Towards Image-Based Text Generation with a Purpose. | Elisa Kreiss, Fei Fang, Noah D. Goodman, Christopher Potts |
| 2022 | EMNLP | Systematicity in GPT-3's Interpretation of Novel English Noun Compounds. | Siyan Li, Riley Carlson, Christopher Potts |
| 2022 | ICLR | Hindsight: Posterior-guided training of retrievers for improved open-ended generation. | Ashwin Paranjape, Omar Khattab, Christopher Potts, Matei Zaharia, Christopher D. Manning |
| 2022 | ICML | Inducing Causal Structure for Interpretable Neural Networks. | Atticus Geiger, Zhengxuan Wu, Hanson Lu, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah D. Goodman, Christopher Potts |
| 2022 | NAACL | ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction. | Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, Christopher Potts, Matei Zaharia |
| 2022 | NAACL | Causal Distillation for Language Models. | Zhengxuan Wu, Atticus Geiger, Joshua Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman |
| 2021 | ACL | DynaSent: A Dynamic Benchmark for Sentiment Analysis. | Christopher Potts, Zhengxuan Wu, Atticus Geiger, Douwe Kiela |
| 2021 | NAACL | Dynabench: Rethinking Benchmarking in NLP. | Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams |
| 2020 | CogSci | Relational reasoning and generalization using non-symbolic neural networks. | Atticus Geiger, Alexandra Carstensen, Michael C. Frank, Christopher Potts |
| 2020 | CoNLL | Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives. | Elisa Kreiss, Zijian Wang, Christopher Potts |
| 2020 | EMNLP | Data and Representation for Turkish Natural Language Inference. | Emrah Budur, Riza zelik, Tunga Gungor, Christopher Potts |
| 2020 | EMNLP | Pragmatic Issue-Sensitive Image Captioning. | Allen Nie, Reuben Cohn-Gordon, Christopher Potts |
| 2019 | EMNLP | Posing Fair Generalization Tasks for Natural Language Inference. | Atticus Geiger, Ignacio Cases, Lauri Karttunen, Christopher Potts |
| 2019 | EMNLP | TalkDown: A Corpus for Condescension Detection in Context. | Zijian Wang, Christopher Potts |
| 2019 | NAACL | Recursive Routing Networks: Learning to Compose Modules for Language Understanding. | Ignacio Cases, Clemens Rosenbaum, Matthew Riemer, Atticus Geiger, Tim Klinger, Alex Tamkin, Olivia Li, Sandhini Agarwal, Joshua D. Greene, Dan Jurafsky, Christopher Potts, Lauri Karttunen |
| 2018 | COLING | Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations. | Benjamin J. Lengerich, Andrew L. Maas, Christopher Potts |
| 2018 | EMNLP | Representing Social Media Users for Sarcasm Detection. | Y. Alex Kolchinski, Christopher Potts |
| 2018 | NAACL | Pragmatically Informative Image Captioning with Character-Level Inference. | Reuben Cohn-Gordon, Noah D. Goodman, Christopher Potts |
| 2018 | NAACL | Mittens: an Extension of GloVe for Learning Domain-Specialized Representations. | Nicholas Dingwall, Christopher Potts |
| 2018 | NAACL | Generating Bilingual Pragmatic Color References. | Will Monroe, Jennifer Hu, Andrew Jong, Christopher Potts |
| 2016 | ACL | A Fast Unified Model for Parsing and Sentence Understanding. | Samuel R. Bowman, Jon Gauthier, Abhinav Rastogi, Raghav Gupta, Christopher D. Manning, Christopher Potts |
| 2016 | EMNLP | Learning to Generate Compositional Color Descriptions. | Will Monroe, Noah D. Goodman, Christopher Potts |
| 2015 | ACL | Text to 3D Scene Generation with Rich Lexical Grounding. | Angel X. Chang, Will Monroe, Manolis Savva, Christopher Potts, Christopher D. Manning |
| 2015 | EMNLP | A large annotated corpus for learning natural language inference. | Samuel R. Bowman, Gabor Angeli, Christopher Potts, Christopher D. Manning |
| 2014 | CogSci | Learning to Reason Pragmatically with Cognitive Limitations. | Adam Vogel, Andrs Gomz Emilsson, Michael C. Frank, Dan Jurafsky, Christopher Potts |
| 2014 | KDD | Sentiment expression conditioned by affective transitions and social forces. | Moritz Sudhof, Andrs Gomz Emilsson, Andrew L. Maas, Christopher Potts |
| 2013 | ACL | A computational approach to politeness with application to social factors. | Cristian Danescu-Niculescu-Mizil, Moritz Sudhof, Dan Jurafsky, Jure Leskovec, Christopher Potts |
| 2013 | ACL | Implicatures and Nested Beliefs in Approximate Decentralized-POMDPs. | Adam Vogel, Christopher Potts, Dan Jurafsky |
| 2013 | EMNLP | Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank. | Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Y. Ng, Christopher Potts |
| 2013 | NAACL | The Life and Death of Discourse Entities: Identifying Singleton Mentions. | Marta Recasens, Marie-Catherine de Marneffe, Christopher Potts |
| 2013 | NAACL | Emergence of Gricean Maxims from Multi-Agent Decision Theory. | Adam Vogel, Max Bodoia, Christopher Potts, Daniel Jurafsky |
| 2013 | WWW | No country for old members: user lifecycle and linguistic change in online communities. | Cristian Danescu-Niculescu-Mizil, Robert West, Dan Jurafsky, Jure Leskovec, Christopher Potts |
| 2012 | ICWSM | Trust Propagation with Mixed-Effects Models. | Jan Overgoor, Ellery Wulczyn, Christopher Potts |
| 2011 | ACL | Learning Word Vectors for Sentiment Analysis. | Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, Christopher Potts |
| 2011 | ICWSM | Sentiment Flow Through Hyperlink Networks. | Mahalia Miller, Conal Sathi, Daniel Wiesenthal, Jure Leskovec, Christopher Potts |
| 2010 | ACL | "Was It Good? It Was Provocative." Learning the Meaning of Scalar Adjectives. | Marie-Catherine de Marneffe, Christopher D. Manning, Christopher Potts |
| 2010 | NAACL | Crowdsourcing and language studies: the new generation of linguistic data. | Robert Munro, Steven Bethard, Victor Kuperman, Vicky Tzuyin Lai, Robin Melnick, Christopher Potts, Tyler Schnoebelen, Harry J. Tily |
| 2009 | SIGdial | Not a Simple Yes or No: Uncertainty in Indirect Answers. | Marie-Catherine de Marneffe, Scott Grimm, Christopher Potts |