Alan Ritter

CoRR, March, 2026

Do Vision-Language Models Respect Contextual Integrity in Location Disclosure?

[BibT_eX]

[DOI]

CoRR, February, 2026

Didactic to Constructive: Turning Expert Solutions into Learnable Reasoning.

[BibT_eX]

[DOI]

Ethan Mendes

Jungsoo Park

CoRR, February, 2026

GeoRC: A Benchmark for Geolocation Reasoning Chains.

[BibT_eX]

[DOI]

CoRR, January, 2026

Semantic Differentiation for Tackling Challenges in Watermarking Low-Entropy Constrained Generation Outputs.

[BibT_eX]

[DOI]

Nghia T. Le

Kartik Goyal

CoRR, January, 2026

Auditing Language Model Unlearning via Information Decomposition.

[BibT_eX]

[DOI]

Anmol Goel

Iryna Gurevych

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Supporting Informed Self-Disclosure: Design Recommendations for Presenting AI-Estimates of Privacy Risks to Users.

[BibT_eX]

[DOI]

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

GeoRC: A Benchmark for Geolocation Reasoning Chains.

[BibT_eX]

[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Camellia: Benchmarking Cultural Biases in LLMs for Asian Languages.

[BibT_eX]

[DOI]

CoRR, October, 2025

Tree-based Dialogue Reinforced Policy Optimization for Red-Teaming Attacks.

[BibT_eX]

[DOI]

CoRR, October, 2025

Look Before you Leap: Estimating LLM Benchmark Scores from Descriptions.

[BibT_eX]

[DOI]

CoRR, September, 2025

Tabular Data Understanding with LLMs: A Survey of Recent Advances and Challenges.

[BibT_eX]

[DOI]

Xiaofeng Wu

CoRR, August, 2025

Instructify: Demystifying Metadata to Visual Instruction Tuning Data Conversion.

[BibT_eX]

[DOI]

Jacob A. Hansen

Wei Lin

Junmo Kang

Muhammad Jehanzeb Mirza

CoRR, May, 2025

CARE: Aligning Language Models for Regional Cultural Awareness.

[BibT_eX]

[DOI]

CoRR, April, 2025

Probabilistic Reasoning with LLMs for k-anonymity Estimation.

[BibT_eX]

[DOI]

CoRR, March, 2025

Seeing the Forest for the Trees: A Large Scale, Continuously Updating Meta-Analysis of Frontier LLMs.

[BibT_eX]

[DOI]

CoRR, February, 2025

Measuring, Modeling, and Helping People Account for Privacy Risks in Online Self-Disclosures with AI.

[BibT_eX]

[DOI]

Proc. ACM Hum. Comput. Interact., 2025

Probabilistic Reasoning with LLMs for Privacy Risk Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Language Models can Self-Improve at State-Value Estimation for Better Search.

[BibT_eX]

[DOI]

Ethan Mendes

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

What are Foundation Models Cooking in the Post-Soviet World?

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

How to Protect Yourself from 5G Radiation? Investigating LLM Responses to Implicit Misinformation.

[BibT_eX]

[DOI]

Ruohao Guo

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

CARE: Multilingual Human Preference Learning for Cultural Awareness.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

SimulatorArena: Are User Simulators Reliable Proxies for Multi-Turn Evaluation of AI Assistants?

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Balancing the Budget: Understanding Trade-offs Between Supervised and Preference-Based Finetuning.

[BibT_eX]

[DOI]

Mohit Raghavendra

Junmo Kang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Can LLMs Help Uncover Insights about LLMs? A Large-Scale, Evolving Literature Analysis of Frontier LLMs.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Translation and Fusion Improves Cross-lingual Information Extraction.

[BibT_eX]

[DOI]

Vedaant Shah

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

CROSSNEWS: A Cross-Genre Authorship Verification and Attribution Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Stanceosaurus 2.0: Classifying Stance Towards Russian and Spanish Misinformation.

[BibT_eX]

[DOI]

CoRR, 2024

Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Constrained Decoding for Cross-lingual Label Projection.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Granular Privacy Control for Geolocation with Vision Language Models.

[BibT_eX]

[DOI]

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

ChatHF: Collecting Rich Human Feedback from Real-time Conversations.

[BibT_eX]

[DOI]

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

Schema-Driven Information Extraction from Heterogeneous Tables.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

UniIR: Training and Benchmarking Universal Multimodal Information Retrievers.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

NEO-BENCH: Evaluating Robustness of Large Language Models with Neologisms.

[BibT_eX]

[DOI]

Jonathan Zheng

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

Having Beer after Prayer? Measuring Cultural Bias in Large Language Models.

[BibT_eX]

[DOI]

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

Self-Specialization: Uncovering Latent Expertise within Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Meta-Tuning LLMs to Leverage Lexical Knowledge for Generalizable Language Style Understanding.

[BibT_eX]

[DOI]

Ruohao Guo

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

Reducing Privacy Risks in Online Self-Disclosures with Language Models.

[BibT_eX]

[DOI]

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

2023

Can Language Models be Instructed to Protect Personal Information?

[BibT_eX]

[DOI]

CoRR, 2023

Self-Specialization: Uncovering Latent Expertise within Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Instruction Tuning with Lexicons for Zero-Shot Style Classification.

[BibT_eX]

[DOI]

Ruohao Guo

CoRR, 2023

Are Large Language Models Robust Zero-shot Coreference Resolvers?

[BibT_eX]

[DOI]

Nghia T. Le

CoRR, 2023

Schema-Driven Information Extraction from Heterogeneous Tables.

[BibT_eX]

[DOI]

CoRR, 2023

Better Low-Resource Entity Recognition Through Translation and Annotation Fusion.

[BibT_eX]

[DOI]

Vedaant Shah

CoRR, 2023

Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

[BibT_eX]

[DOI]

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

Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatments.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?

[BibT_eX]

[DOI]

Shuheng Liu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Improved Instruction Ordering in Recipe-Grounded Conversation.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models.

[BibT_eX]

[DOI]

Junmo Kang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Frustratingly Easy Label Projection for Cross-lingual Transfer.

[BibT_eX]

[DOI]

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

2022

Stanceosaurus: Classifying Stance Towards Multilingual Misinformation.

[BibT_eX]

[DOI]

CoRR, 2022

Stanceosaurus: Classifying Stance Towards Multicultural Misinformation.

[BibT_eX]

[DOI]

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

Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts.

[BibT_eX]

[DOI]

Nghia T. Le

Fan Bai

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

SynKB: Semantic Search for Synthetic Procedures.

[BibT_eX]

[DOI]

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

Extracting a Knowledge Base of COVID-19 Events from Social Media.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Model Selection for Cross-lingual Transfer.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Pre-train or Annotate? Domain Adaptation with a Constrained Budget.

[BibT_eX]

[DOI]

Fan Bai

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Process-Level Representation of Scientific Protocols with Interactive Annotation.

[BibT_eX]

[DOI]

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols.

[BibT_eX]

[DOI]

CoRR, 2020

Model Selection for Cross-Lingual Transfer using a Learned Scoring Function.

[BibT_eX]

[DOI]

CoRR, 2020

Extracting COVID-19 Events from Twitter.

[BibT_eX]

[DOI]

CoRR, 2020

A Focused Study to Compare Arabic Pre-training Models on Newswire IE Tasks.

[BibT_eX]

[DOI]

CoRR, 2020

An Empirical Study of Pre-trained Transformers for Arabic Information Extraction.

[BibT_eX]

[DOI]

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

WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols.

[BibT_eX]

[DOI]

Jeniya Tabassum

Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

Measuring Forecasting Skill from Text.

[BibT_eX]

[DOI]

Shi Zong

Eduard H. Hovy

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Code and Named Entity Recognition in StackOverflow.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Fluent Response Generation for Conversational Question Answering.

[BibT_eX]

[DOI]

Ashutosh Baheti

Kevin Small

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Visual Exploration of Neural Document Embedding in Information Retrieval: Semantics and Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2019

Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Media.

[BibT_eX]

[DOI]

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

Structured Minimally Supervised Learning for Neural Relation Extraction.

[BibT_eX]

[DOI]

Fan Bai

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

2018

Never-ending learning.

[BibT_eX]

[DOI]

Commun. ACM, 2018

An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols.

[BibT_eX]

[DOI]

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

Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints.

[BibT_eX]

[DOI]

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

2017

Using ontology-based semantic similarity to facilitate the article screening process for systematic reviews.

[BibT_eX]

[DOI]

Xiaonan Ji

Po-Yin Yen

J. Biomed. Informatics, 2017

Adversarial Learning for Neural Dialogue Generation.

[BibT_eX]

[DOI]

CoRR, 2017

Learning to Extract Events from Knowledge Base Revisions.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web, 2017

Visualizing Article Similarities via Sparsified Article Network and Map Projection for Systematic Reviews.

[BibT_eX]

[DOI]

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

"i have a feeling trump will win..................": Forecasting Winners and Losers from User Predictions on Twitter.

[BibT_eX]

[DOI]

Sandesh Swamy

Marie-Catherine de Marneffe

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Adversarial Learning for Neural Dialogue Generation.

[BibT_eX]

[DOI]

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts.

[BibT_eX]

[DOI]

Lang. Resour. Evaluation, 2016

A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter.

[BibT_eX]

[DOI]

Jeniya Tabassum

CoRR, 2016

SemEval-2016 Task 4: Sentiment Analysis in Twitter.

[BibT_eX]

[DOI]

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

TweeTime : A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter.

[BibT_eX]

[DOI]

Jeniya Tabassum

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

Deep Reinforcement Learning for Dialogue Generation.

[BibT_eX]

[DOI]

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

Results of the WNUT16 Named Entity Recognition Shared Task.

[BibT_eX]

[DOI]

Benjamin Strauss

Bethany Toma

Marie-Catherine de Marneffe

Proceedings of the 2nd Workshop on Noisy User-generated Text, 2016

2015

Learning multi-faceted representations of individuals from heterogeneous evidence using neural networks.

[BibT_eX]

[DOI]

Jiwei Li

Marie-Catherine de Marneffe

Dan Jurafsky

CoRR, 2015

Weakly Supervised Extraction of Computer Security Events from Twitter.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web, 2015

SemEval-2015 Task 10: Sentiment Analysis in Twitter.

[BibT_eX]

[DOI]

Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Sense discovery via co-clustering on images and text.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Examining the Distribution, Modularity, and Community Structure in Article Networks for Systematic Reviews.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2015, 2015

Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition.

[BibT_eX]

[DOI]

Timothy Baldwin

Proceedings of the Workshop on Noisy User-generated Text, 2015

Never-Ending Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Extracting Lexically Divergent Paraphrases from Twitter.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2014

Inferring User Preferences by Probabilistic Logical Reasoning over Social Networks.

[BibT_eX]

[DOI]

Jiwei Li

Dan Jurafsky

CoRR, 2014

SemEval-2014 Task 9: Sentiment Analysis in Twitter.

[BibT_eX]

[DOI]

Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

Assuming Facts Are Expressed More Than Once.

[BibT_eX]

[DOI]

Justin Betteridge

Tom M. Mitchell

Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

Major Life Event Extraction from Twitter based on Congratulations/Condolences Speech Acts.

[BibT_eX]

[DOI]

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Weakly Supervised User Profile Extraction from Twitter.

[BibT_eX]

[DOI]

Jiwei Li

Eduard H. Hovy

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Extracting Knowledge from Twitter and The Web.

[BibT_eX]

[DOI]

PhD thesis, 2013

Modeling Missing Data in Distant Supervision for Information Extraction.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2013

SemEval-2013 Task 2: Sentiment Analysis in Twitter.

[BibT_eX]

[DOI]

Proceedings of the 7th International Workshop on Semantic Evaluation, 2013

Twitter Part-of-Speech Tagging for All: Overcoming Sparse and Noisy Data.

[BibT_eX]

[DOI]

Proceedings of the Recent Advances in Natural Language Processing, 2013

Gathering and Generating Paraphrases from Twitter with Application to Normalization.

[BibT_eX]

[DOI]

Ralph Grishman

Proceedings of the Sixth Workshop on Building and Using Comparable Corpora, 2013

2012

Open domain event extraction from twitter.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Paraphrasing for Style.

[BibT_eX]

[DOI]

Proceedings of the COLING 2012, 2012

2011

Named Entity Recognition in Tweets: An Experimental Study.

[BibT_eX]

[DOI]

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Data-Driven Response Generation in Social Media.

[BibT_eX]

[DOI]

Colin Cherry

William B. Dolan

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

2010

Unsupervised Modeling of Twitter Conversations.

[BibT_eX]

[DOI]

Colin Cherry

Bill Dolan

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

A Latent Dirichlet Allocation Method for Selectional Preferences.

[BibT_eX]

[DOI]

Mausam

Oren Etzioni

Proceedings of the ACL 2010, 2010

2009

Learning to generalize for complex selection tasks.

[BibT_eX]

[DOI]

Sumit Basu

Proceedings of the 14th International Conference on Intelligent User Interfaces, 2009

What Is This, Anyway: Automatic Hypernym Discovery.

[BibT_eX]

[DOI]

Stephen Soderland

Oren Etzioni

Proceedings of the Learning by Reading and Learning to Read, 2009

2008

It's a Contradiction - no, it's not: A Case Study using Functional Relations.

[BibT_eX]

[DOI]

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

2006

Machine Learning Approach to Tuning Distributed Operating System Load Balancing Algorithms.

[BibT_eX]

J. Michael Meehan