Investigating and Alleviating Harm Amplification in LLM Interactions
Ruohao Guo, Wei Xu, Alan Ritter
EMNLP 2026

Who Pays More for Safety? Measuring the Disparate Cost of Safety Alignment across Languages
Chanwoong Yoon, Jungsoo Park, Alan Ritter
EMNLP 2026

Camellia: Benchmarking Cultural Biases in LLMs for Asian Languages
Tarek Naous, Anagha Savit, Carlos Rafael Catalan, Geyang Guo, Jaehyeok Lee, Kyungdon Lee, Lheane Marie Dizon, Mengyu Ye, Neel Kothari, Sahajpreet Singh, Sarah Masud, Tanish Patwa, Trung Thanh Tran, Zohaib Khan, Alan Ritter, Tanmoy Chakraborty, Yuki Arase, Keisuke Sakaguchi, JinYeong Bak, Wei Xu
EMNLP 2026

LaRA: Layer-wise Representation Analysis for Detecting Data Contamination in RL Post-Training
Minju Gwak, Minseo Kwak, Dongseok Lee, Guijin Son, Alan Ritter, Jaehyung Kim
EMNLP 2026 (Findings)

CoCoA: Context-Conditional Cultural Alignment for Large Language Models
Kyungdon Lee, Wei Xu, Alan Ritter, Dong-Ho Lee, JinYeong Bak
EMNLP 2026 (Findings)

Making Expert Reasoning Learnable with Self-Distillation
Ethan Mendes, Jungsoo Park, Alan Ritter
ICML 2026

Safe and Scalable Web Agent Learning via Recreated Websites
Hyungjoo Chae, Jungsoo Park, Alan Ritter
ICML 2026

Learning to Route Languages for Multilingual Preference Optimization
Geyang Guo, Hiromi Wakaki, Yuki Mitsufuji, Alan Ritter, Wei Xu
ICML 2026

GeoRC: A Benchmark for Geolocation Reasoning Chains
Mohit Talreja, Joshua Diao, Jim Thannikary James, Radu Casapu, Tejas Santanam, Ethan Mendes, Alan Ritter, Wei Xu, James Hays
ACL 2026

Do Vision-Language Models Respect Contextual Integrity in Location Disclosure?
Ruixin Yang, Ethan Mendes, Arthur Wang, James Hays, Sauvik Das, Wei Xu, Alan Ritter
ICLR 2026

Tree-based Dialogue Reinforced Policy Optimization for Red-Teaming Attacks
Ruohao Guo, Afshin Oroojlooy, Roshan Sridhar, Miguel Ballesteros, Alan Ritter, Dan Roth
ICLR 2026

Supporting Informed Self-Disclosure: Design Recommendations for Presenting AI-Estimates of Privacy Risks to Users
Isadora Krsek, Meryl Ye, Wei Xu, Alan Ritter, Laura Dabbish, Sauvik Das
CHI 2026

Auditing Language Model Unlearning via Information Decomposition
Anmol Goel, Alan Ritter, Iryna Gurevych
EACL 2026

Language Models can Self-Improve at State-Value Estimation for Better Search
Ethan Mendes, Alan Ritter
NeurIPS 2025
[Spotlight]

Probabilistic Reasoning with LLMs for Privacy Risk Estimation
Jonathan Zheng, Alan Ritter, Sauvik Das, Wei Xu
NeurIPS 2025

CARE: Assessing the Impact of Multilingual Human Preference Learning on Cultural Awareness
Geyang Guo, Tarek Naous, Hiromi Wakaki, Yukiko Nishimura, Yuki Mitsufuji, Alan Ritter, Wei Xu
EMNLP 2025

USimBench: Are User Simulators Reliable Proxies for Multi-Turn Evaluation of AI Assistants?
Yao Dou, Michel Galley, Baolin Peng, Chris Kedzie, Weixin Cai, Alan Ritter, Chris Quirk, Wei Xu, Jianfeng Gao
EMNLP 2025

How to Protect Yourself from 5G Radiation? Investigating LLM Responses to Implicit Misinformation
Ruohao Guo, Wei Xu, Alan Ritter
EMNLP 2025

What are Foundation Models Cooking in the Post-Soviet World?
Anton Lavrouk, Tarek Naous, Alan Ritter, Wei Xu
EMNLP 2025

Can LLMs Help Uncover Insights about LLMs? A Large-Scale, Evolving Literature Analysis of Frontier LLMs
Jungsoo Park, Junmo Kang, Gabriel Stanovsky, Alan Ritter
ACL 2025

Balancing the Budget: Understanding Trade-offs Between Supervised and Preference-Based Finetuning
Mohit Raghavendra, Junmo Kang, Alan Ritter
ACL 2025
[SAC Award]

Translation and Fusion Improves Cross-lingual Information Extraction
Yang Chen, Vedaant Shah, Alan Ritter
ACL 2025

Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts
Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob A Hansen, James R. Glass, David Daniel Cox, Rameswar Panda, Rogerio Feris, Alan Ritter
ICLR 2025

CROSSNEWS: A Cross-Genre Authorship Verification and Attribution Benchmark
Marcus Ma, Duong Minh Le, Junmo Kang, Yao Dou, John Cadigan, Dayne Freitag, Alan Ritter, Wei Xu
AAAI 2025

Measuring, Modeling, and Helping People Account for Privacy Risks in Online Self-Disclosures with AI
Isadora Krsek, Anubha Kabra, Yao Dou, Tarek Naous, Laura A Dabbish, Alan Ritter, Wei Xu, Sauvik Das
CSCW 2025

Granular Privacy Control for Geolocation with Vision Language Models
Ethan Mendes, Yang Chen, James Hays, Sauvik Das, Wei Xu, Alan Ritter
EMNLP 2024

Schema-Driven Information Extraction from Heterogeneous Tables
Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Mark Dredze, Alan Ritter
Findings of EMNLP 2024

ChatHF: Collecting Rich Human Feedback from Real-time Conversations
Andrew Li, Zhenduo Wang, Ethan Mendes, Duong Minh Le, Wei Xu, Alan Ritter
EMNLP 2024 (Demo Track)

Are Language Models Robust Coreference Resolvers?
Nghia T. Le, Alan Ritter
COLM 2024

UniIR: Training and Benchmarking Universal Multimodal Information Retrievers
Cong Wei, Yang Chen, Haonan Chen, Hexiang Hu, Ge Zhang, Jie Fu, Alan Ritter, Wenhu Chen
ECCV 2024

Constrained Decoding for Cross-lingual Label Projection
Duong Minh Le, Yang Chen, Alan Ritter, Wei Xu
ICLR 2024

Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game
Sam Toyer, Olivia Watkins, Ethan Adrian Mendes, Justin Svegliato, Luke Bailey, Tiffany Wang, Isaac Ong, Karim Elmaaroufi, Pieter Abbeel, Trevor Darrell, Alan Ritter, Stuart Russell
ICLR 2024
[Spotlight]

Having Beer after Prayer? Measuring Cultural Bias in Large Language Models
Tarek Naous, Michael J. Ryan, Alan Ritter, Wei Xu
Proceedings of ACL 2024
[Best Social Impact Paper Award]
[Covered by VentureBeat]

Meta-Tuning LLMs to Leverage Lexical Knowledge for Generalizable Language Style Understanding
Ruohao Guo, Wei Xu, Alan Ritter
Proceedings of ACL 2024

NEO-BENCH: Evaluating Robustness of Large Language Models with Neologisms
Jonathan Zheng, Alan Ritter, Wei Xu
Proceedings of ACL 2024

Reducing Privacy Risks in Online Self-Disclosures with Language Models
Yao Dou, Isadora Krsek, Tarek Naous, Anubha Kabra, Sauvik Das, Alan Ritter, Wei Xu
Proceedings of ACL 2024

Self-Specialization: Uncovering Latent Expertise within Large Language Models
Junmo Kang, Hongyin Luo, Yada Zhu, Jacob Hansen, James Glass, David Cox, Alan Ritter, Rogerio Feris, Leonid Karlinsky
Findings of ACL 2024

Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?
Yang Chen, Hexiang Hu, Yi Luan, Haitian Sun, Soravit Changpinyo, Alan Ritter, Ming-Wei Chang
EMNLP 2023

Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models
Junmo Kang, Wei Xu and Alan Ritter
ACL 2023

Improved Instruction Ordering in Recipe-Grounded Conversation
Duong Minh Le, Ruohao Guo, Wei Xu and Alan Ritter
ACL 2023

Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?
Shuheng Liu, Alan Ritter
ACL 2023
[Reproduction Award]

Frustratingly Easy Label Projection for Cross-lingual Transfer
Yang Chen, Chao Jiang, Alan Ritter, Wei Xu
Findings of ACL (2023)

Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts
Nghia T. Le, Fan Bai and Alan Ritter
Findings of EMNLP 2022

SynKB: Semantic Search for Synthetic Procedures
Fan Bai, Alan Ritter, Peter Madrid, Dayne Freitag, John Niekrasz
Proceedings of EMNLP 2022 (Demo Track)

Extracting a Knowledge Base of COVID-19 Events from Social Media
Shi Zong, Ashutosh Baheti, Wei Xu, Alan Ritter
Coling 2022

Pre-train or Annotate? Domain Adaptation with a Constrained Budget
Fan Bai, Alan Ritter and Wei Xu
EMNLP 2021

Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts
Ashutosh Baheti, Maarten Sap, Alan Ritter, Mark Riedl
EMNLP 2021
[Covered by TNW]

Model Selection for Cross-Lingual Transfer
Yang Chen and Alan Ritter
EMNLP 2021

Process-Level Representation of Scientific Protocols with Interactive Annotation
Ronen Tamari, Fan Bai, Alan Ritter and Gabriel Stanovsky
Proceedings of EACL 2021
[code / data / demo]

An Empirical Study of Pre-trained Transformers for Arabic Information Extraction
Wuwei Lan, Yang Chen, Wei Xu, Alan Ritter
EMNLP 2020 (short paper)
[pre-trained models]

Measuring Forecasting Skill from Text
Shi Zong, Alan Ritter and Eduard Hovy
Proceedings of ACL 2020
[Talk]

Fluent Response Generation for Conversational Question Answering
Ashutosh Baheti, Alan Ritter and Kevin Small
Proceedings of ACL 2020
[Talk]

Code and Named Entity Recognition in StackOverflow
Jeniya Tabassum, Mounica Maddela, Wei Xu and Alan Ritter
Proceedings of ACL 2020
[Talk] [Data] [Demo]

Structured Minimally Supervised Learning for Neural Relation Extraction
Fan Bai and Alan Ritter
Proceedings of NAACL 2019
[Code]

Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Media
Shi Zong, Alan Ritter, Graham Mueller and Evan Wright
Proceedings of NAACL 2019
[Code] [Covered by WIRED]

Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints
Ashutosh Baheti, Alan Ritter, Jiwei Li, Bill Dolan
Proceedings of EMNLP 2018
[Code]

An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols
Chaitanya Kulkarni, Wei Xu, Alan Ritter, Raghu Machiraju
Proceedings of NAACL 2018 (short paper)
[Data]

Adversarial Learning for Neural Dialogue Generation
Jiwei Li, Will Monroe, Tianlin Shi, Sébastien Jean, Alan Ritter, Dan Jurafsky
Proceedings of EMNLP 2017

Learning to Extract Events from Knowledge Base Revisions
Alexander Konovalov, Benjamin Strauss, Alan Ritter and Brendan O'Connor
Proceedings of WWW 2017

A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter
Jeniya Tabassum, Alan Ritter, Wei Xu.
Proceedings of EMNLP 2016
[Video]

Deep Reinforcement Learning for Dialogue Generation
Jiwei Li, Will Monroe, Alan Ritter, Michel Galley, Jianfeng Gao, Dan Jurafsky.
Proceedings of EMNLP 2016

Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts
Preslav Nakov, Sara Rosenthal, Svetlana Kiritchenko, Saif M. Mohammad, Zornitsa Kozareva, Alan Ritter, Veselin Stoyanov, Xiaodan Zhu
Language Resources and Evaluation 2016

Sense Discovery via Co-Clustering on Images and Text.
Xinlei Chen, Alan Ritter, Abhinav Gupta, Tom Mitchell.
Proceedings of CVPR 2015

Weakly Supervised Extraction of Computer Security Events from Twitter
Alan Ritter, Evan Wright, William Casey and Tom Mitchell
Proceedings of WWW 2015

Never Ending Learning
Tom Mitchell, William Cohen, Estevam Hruschka, Partha Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi, Matt Gardner, Bryan Kisiel, Jayant Krishnmurthy, Ni Lao, Kathryn Mazaitis, Tahir Mohammad, Ndapa Nakashole, Emmanouil Antonios Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves and Joel Welling
Proceedings of AAAI 2015

Extracting Lexically Divergent Paraphrases from Twitter
Wei Xu, Alan Ritter, Chris Callison-Burch, William B. Dolan and Yangfeng Ji
Proceedings of TACL 2014

Major Life Event Extraction from Twitter based on Congratulations/Condolences Speech Acts
Jiwei Li, Alan Ritter, Claire Cardie and Eduard Hovy
Proceedings of EMNLP 2014

Weakly Supervised User Profile Extraction from Twitter
Jiwei Li, Alan Ritter and Eduard Hovy
Proceedings of ACL 2014

Modeling Missing Data in Distant Supervision for Information Extraction
Alan Ritter, Luke Zettlemoyer, Mausam and Oren Etzioni
Proceedings of TACL 2013
[Slides]

Open Domain Event Extraction from Twitter
Alan Ritter, Mausam, Oren Etzioni, Sam Clark
Proceedings of KDD 2012
[Slides] [Demo] [Talk]

Paraphrasing for Style
Wei Xu, Alan Ritter, William B. Dolan, Ralph Grishman, Colin Cherry
Proceedings of Coling 2012
[Code and Data]

Named Entity Recognition in Tweets: An Experimental Study
Alan Ritter, Sam Clark, Mausam, Oren Etzioni
Proceedings of EMNLP 2011
[Slides] [Code]

Data-Driven Response Generation in Social Media
Alan Ritter, Colin Cherry, Bill Dolan
Proceedings of EMNLP 2011
[Slides] [Model]

A Latent Dirichlet Allocation Method for Selectional Preferences
Alan Ritter, Mausam, Oren Etzioni
Proceedings of ACL 2010
[Slides] [Code]

Unsupervised Modeling of Twitter Conversations
Alan Ritter, Colin Cherry, Bill Dolan
Proceedings of HLT-NAACL 2010
[Slides]

Learning to Generalize for Complex Selection Tasks
Alan Ritter and Sumit Basu
Best Student Paper Award
Proceedings of IUI 2009
[Video] [Slides]

It's a Contradiction -- No, It's Not: A Case Study using Functional Relations
Alan Ritter, Doug Downey, Stephen Soderland, and Oren Etzioni
Proceedings of EMNLP 2008
[Slides]

Results of the WNUT16 Named Entity Recognition Shared Task.
Benjamin Strauss, Bethany Toma, Alan Ritter, Marie-Catherine de Marneffe and Wei Xu
Proceedings of the 2nd Workshop on Noisy User-generated Text

Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition.
Timothy Baldwin, Marie-Catherine de Marneffe, Bo Han, Young-Bum Kim, Alan Ritter and Wei Xu
Proceedings of the 1st Workshop on Noisy User-generated Text

Combining Non-Expert and Expert Crowd Work to Convert Web APIs to Dialog Systems.
Ting-Hao K. Huang, Walter S. Lasecki, Alan L. Ritter, Jeffrey P. Bigham
Work-in-Progress paper in the Proceeding of Conference on Human Computation & Crowdsourcing (HCOMP 2014)

Powering Spoken Language Interactions With the Crowd.
Lasecki, W.S., Ritter, A., and Bigham, J.P.
Proceedings of the CHI Workshop on Designing Speech and Language Interactions (DSLI 2014). Toronto, Canada, 2014.

Extracting Knowledge from Twitter and the Web
Alan Ritter
Ph.D. Thesis, University of Washington 2013

Gathering and Generating Paraphrases from Twitter with Application to Normalization
Wei Xu, Alan Ritter, Ralph Grishman
ACL 2013 Workshop on Building and Using Comparable Corpora

A Preliminary Study of Tweet Summarization using Information Extraction
Wei Xu, Ralph Grishman, Adam Meyers, Alan Ritter
Proceedings of NAACL 2013 Workshop on Language Analysis in Social Media

Filter, Rank, and Transfer the Knowledge: Learning to Chat
Sina Jafarpour and Chris Burges, Alan Ritter
NIPS Workshop on Advances in Ranking, Vancouver, Canada, 2009

What Is This, Anyway: Automatic Hypernym Discovery
Alan Ritter, Stephen Soderland, and Oren Etzioni
2009 AAAI Spring Symposium on Learning by Reading and Learning to Read

Distributional Word Clustering in Parallel
Alan Ritter, James Hearne, Philip Nelson
ISCA PDCS 2006

Machine Learning Approach to Tuning Distributed Operating System Load Balancing Algorithms
Michael Meehan, Alan Ritter
ISCA PDCS 2006

NDIS Network Driver
Alan Ritter
Dr. Dobb's Journal, January 2006