Christopher Potts

Matei Zaharia

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

ContextRef: Evaluating Referenceless Metrics for Image Description Generation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

GIO: Gradient Information Optimization for Training Dataset Selection.

[BibT_eX]

[DOI]

Dante Everaert

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Updating CLIP to Prefer Descriptions Over Captions.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together.

[BibT_eX]

[DOI]

Dilara Soylu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

CommVQA: Situating Visual Question Answering in Communicative Contexts.

[BibT_eX]

[DOI]

Nandita Naik

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Retrieval Augmented Spelling Correction for E-Commerce Applications.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Demystifying Verbatim Memorization in Large Language Models.

[BibT_eX]

[DOI]

Jing Huang

Diyi Yang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations.

[BibT_eX]

[DOI]

Proceedings of the Causal Learning and Reasoning, 2024

I am a Strange Dataset: Metalinguistic Tests for Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Mission: Impossible Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

CausalGym: Benchmarking causal interpretability methods on linguistic tasks.

[BibT_eX]

[DOI]

Aryaman Arora

Dan Jurafsky

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

[BibT_eX]

[DOI]

Bartlomiej Bojanowski

Giambattista Parascandolo

Daniel Moseguí González

Eunice Engefu Manyasi

Evgenii Zheltonozhskii

Fanyue Xia

Fatemeh Siar

Fernando Martínez-Plumed

Giorgio Mariani

Gloria Wang

Gonzalo Jaimovitch-López

Jaime Fernández Fisac

Jascha Sohl-Dickstein

José Hernández-Orallo

Karthik Gopalakrishnan

Lidia Contreras Ochando

Louis-Philippe Morency

María José Ramírez-Quintana

Michael I. Ivanitskiy

Neta Gur-Ari Krakover

Nitish Shirish Keskar

Pablo Antonio Moreno Casares

Pegah Alipoormolabashi

Shyamolima (Shammie) Debnath

Sneha Priscilla Makini

Yadollah Yaghoobzadeh

Trans. Mach. Learn. Res., 2023

ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation.

[BibT_eX]

[DOI]

Zhengxuan Wu

Trans. Assoc. Comput. Linguistics, 2023

DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines.

[BibT_eX]

[DOI]

CoRR, 2023

Flexible Model Interpretability through Natural Language Model Editing.

[BibT_eX]

[DOI]

CoRR, 2023

CAW-coref: Conjunction-Aware Word-level Coreference Resolution.

[BibT_eX]

[DOI]

CoRR, 2023

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

[BibT_eX]

[DOI]

CoRR, 2023

Characterizing Image Accessibility on Wikipedia across Languages.

[BibT_eX]

[DOI]

Krishna Srinivasan

Tiziano Piccardi

Jesus Adolfo Hermosillo

Cynthia L. Bennett

Michael S. Bernstein

Meredith Ringel Morris

CoRR, 2023

Interpretability at Scale: Identifying Causal Mechanisms in Alpaca.

[BibT_eX]

[DOI]

CoRR, 2023

Causal Abstraction for Faithful Model Interpretation.

[BibT_eX]

[DOI]

Atticus Geiger

Thomas Icard

CoRR, 2023

Interpretability at Scale: Identifying Causal Mechanisms in Alpaca.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Causal Proxy Models for Concept-based Model Explanations.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Context-VQA: Towards Context-Aware and Purposeful Visual Question Answering.

[BibT_eX]

[DOI]

Nandita Naik

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions.

[BibT_eX]

[DOI]

Zexuan Zhong

Zhengxuan Wu

Danqi Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Multi-teacher Distillation for Multilingual Spelling Correction.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Lexical Semantics with Large Language Models: A Case Study of English "break".

[BibT_eX]

[DOI]

Erika Petersen

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Psychologically-informed chain-of-thought prompts for metaphor understanding in large language models.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Rigorously Assessing Natural Language Explanations of Neurons.

[BibT_eX]

[DOI]

Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

Detecting Contradictory COVID-19 Drug Efficacy Claims from Biomedical Literature.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP.

[BibT_eX]

[DOI]

CoRR, 2022

Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models.

[BibT_eX]

[DOI]

Zhengxuan Wu

Nelson F. Liu

Proceedings of the 7th Workshop on Representation Learning for NLP, 2022

CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Causal Distillation for Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Inducing Causal Structure for Interpretable Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Hindsight: Posterior-guided training of retrievers for improved open-ended generation.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Systematicity in GPT-3's Interpretation of Novel English Noun Compounds.

[BibT_eX]

[DOI]

Siyan Li

Riley Carlson

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Concadia: Towards Image-Based Text Generation with a Purpose.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics.

[BibT_eX]

[DOI]

Meredith Ringel Morris

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Color Overmodification Emerges from Data-Driven Learning and Pragmatic Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

PLAID: An Efficient Engine for Late Interaction Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Relevance-guided Supervision for OpenQA with ColBERT.

[BibT_eX]

[DOI]

Matei Zaharia

Trans. Assoc. Comput. Linguistics, 2021

Postmortem memory of public figures in news and social media.

[BibT_eX]

[DOI]

Robert West

Jure Leskovec

Proc. Natl. Acad. Sci. USA, 2021

Concadia: Tackling image accessibility with context.

[BibT_eX]

[DOI]

CoRR, 2021

Post-mortem memory of public figures in news and social media.

[BibT_eX]

[DOI]

Robert West

Jure Leskovec

CoRR, 2021

ReaSCAN: Compositional Reasoning in Language Grounding.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP.

[BibT_eX]

[DOI]

Josh Rozner

Kyle Mahowald

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval.

[BibT_eX]

[DOI]

Matei A. Zaharia

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Causal Abstractions of Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dynabench: Rethinking Benchmarking in NLP.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

DynaSent: A Dynamic Benchmark for Sentiment Analysis.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Learning Compositional Negation in Populations of Roth-Erev and Neural Agents.

[BibT_eX]

[DOI]

Graham Todd

Shane Steinert-Threlkeld

CoRR, 2020

Use of Machine Translation to Obtain Labeled Datasets for Resource-Constrained Languages.

[BibT_eX]

[DOI]

CoRR, 2020

Modular Representation Underlies Systematic Generalization in Neural Natural Language Inference Models.

[BibT_eX]

[DOI]

Atticus Geiger

Kyle Richardson

CoRR, 2020

Pragmatic Issue-Sensitive Image Captioning.

[BibT_eX]

[DOI]

Allen Nie

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Data and Representation for Turkish Natural Language Inference.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives.

[BibT_eX]

[DOI]

Zijian Wang

Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

Relational reasoning and generalization using non-symbolic neural networks.

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation.

[BibT_eX]

[DOI]

Atticus Geiger

Kyle Richardson

Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

2019

Communication-based Evaluation for Natural Language Generation.

[BibT_eX]

[DOI]

Benjamin Newman

CoRR, 2019

Modeling Drug-Disease Relations with Linguistic and Knowledge Graph Constraints.

[BibT_eX]

[DOI]

Bruno Godefroy

CoRR, 2019

Recursive Routing Networks: Learning to Compose Modules for Language Understanding.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

TalkDown: A Corpus for Condescension Detection in Context.

[BibT_eX]

[DOI]

Zijian Wang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Posing Fair Generalization Tasks for Natural Language Inference.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Enculturation Trajectories: Language, Cultural Adaptation, and Individual Outcomes in Organizations.

[BibT_eX]

[DOI]

Manag. Sci., 2018

Effective Feature Representation for Clinical Text Concept Extraction.

[BibT_eX]

[DOI]

CoRR, 2018

Stress-Testing Neural Models of Natural Language Inference with Multiply-Quantified Sentences.

[BibT_eX]

[DOI]

CoRR, 2018

An Incremental Iterated Response Model of Pragmatics.

[BibT_eX]

[DOI]

CoRR, 2018

A case for deep learning in semantics.

[BibT_eX]

[DOI]

CoRR, 2018

Pragmatically Informative Image Captioning with Character-Level Reference.

[BibT_eX]

[DOI]

CoRR, 2018

Generating Bilingual Pragmatic Color References.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Mittens: an Extension of GloVe for Learning Domain-Specialized Representations.

[BibT_eX]

[DOI]

Nicholas Dingwall

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Pragmatically Informative Image Captioning with Character-Level Inference.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Representing Social Media Users for Sarcasm Detection.

[BibT_eX]

[DOI]

Y. Alex Kolchinski

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations.

[BibT_eX]

[DOI]

Benjamin J. Lengerich

Andrew L. Maas

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2017

On the Effective Use of Pretraining for Natural Language Inference.

[BibT_eX]

[DOI]

Ignacio Cases

Minh-Thang Luong

CoRR, 2017

2016

Embedded Implicatures as Pragmatic Inferences under Compositional Lexical Uncertainty.

[BibT_eX]

[DOI]

J. Semant., 2016

Learning to Generate Compositional Color Descriptions.

[BibT_eX]

[DOI]

Will Monroe

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

A Fast Unified Model for Parsing and Sentence Understanding.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Modeling the Lifespan of Discourse Entities with Application to Coreference Resolution.

[BibT_eX]

[DOI]

Marta Recasens

J. Artif. Intell. Res., 2015

Learning in the Rational Speech Acts Model.

[BibT_eX]

[DOI]

Will Monroe

CoRR, 2015

Tree-Structured Composition in Neural Networks without Tree-Structured Architectures.

[BibT_eX]

[DOI]

Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches co-located with the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), 2015

A large annotated corpus for learning natural language inference.

[BibT_eX]

[DOI]

Gabor Angeli

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Text to 3D Scene Generation with Rich Lexical Grounding.

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Recursive Neural Networks Can Learn Logical Semantics.

[BibT_eX]

[DOI]

Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality, 2015

Learning Distributed Word Representations for Natural Logic Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 2015 AAAI Spring Symposia, 2015

2014

Exploiting Social Network Structure for Person-to-Person Sentiment Analysis.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2014

Recursive Neural Networks for Learning Logical Semantics.

[BibT_eX]

[DOI]

CoRR, 2014

Sentiment expression conditioned by affective transitions and social forces.

[BibT_eX]

[DOI]

Moritz Sudhof

Andrés Goméz Emilsson

Andrew L. Maas

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Learning to Reason Pragmatically with Cognitive Limitations.

[BibT_eX]

[DOI]

Adam Vogel

Andrés Goméz Emilsson

Michael C. Frank

Dan Jurafsky

Cristian Danescu-Niculescu-Mizil

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013

No country for old members: user lifecycle and linguistic change in online communities.

[BibT_eX]

[DOI]

Proceedings of the 22nd International World Wide Web Conference, 2013

Emergence of Gricean Maxims from Multi-Agent Decision Theory.

[BibT_eX]

[DOI]

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

The Life and Death of Discourse Entities: Identifying Singleton Mentions.

[BibT_eX]

[DOI]

Marta Recasens

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank.

[BibT_eX]

[DOI]

Andrew Y. Ng

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Implicatures and Nested Beliefs in Approximate Decentralized-POMDPs.

[BibT_eX]

[DOI]

Adam Vogel

Cristian Danescu-Niculescu-Mizil

Dan Jurafsky

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

A computational approach to politeness with application to social factors.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Did It Happen? The Pragmatic Complexity of Veridicality Assessment.

[BibT_eX]

[DOI]

Comput. Linguistics, 2012

Trust Propagation with Mixed-Effects Models.

[BibT_eX]

[DOI]

Jan Overgoor

Ellery Wulczyn

Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

2011

Veridicality and Utterance Understanding.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Semantic Computing (ICSC 2011), 2011

Sentiment Flow Through Hyperlink Networks.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Corpus Evidence for Preference-Driven Interpretation.

[BibT_eX]

[DOI]

Alex Djalali

Sven Lauer

Proceedings of the Logic, Language and Meaning - 18th Amsterdam Colloquium, 2011

Learning Word Vectors for Sentiment Analysis.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

Modeling Expert Effects and Common Ground Using Questions Under Discussion.

[BibT_eX]

[DOI]

Proceedings of the Building Representations of Common Ground with Intelligent Agents, 2011

2010

Crowdsourcing and language studies: the new generation of linguistic data.

[BibT_eX]

[DOI]

Proceedings of the 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, 2010

"Was It Good? It Was Provocative." Learning the Meaning of Scalar Adjectives.

[BibT_eX]

[DOI]

Proceedings of the ACL 2010, 2010

2009

Not a Simple Yes or No: Uncertainty in Indirect Answers.

[BibT_eX]

[DOI]

Scott Grimm

Proceedings of the SIGDIAL 2009 Conference, 2009

Affective Demonstratives and the Division of Pragmatic Labor.

[BibT_eX]

[DOI]

Christopher Davis

Proceedings of the Logic, Language and Meaning - 17th Amsterdam Colloquium, 2009

2006

Conversational Implicatures Via General Pragmatic Pressures.

[BibT_eX]

[DOI]