Yulia Tsvetkov

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 208

Top Venues

Publications

Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov
Teaching LLMs to Abstain across Languages via Multilingual Feedback. CoRR (2024)
Orevaoghene Ahia, Anuoluwapo Aremu, Diana Abagyan, Hila Gonen, David Ifeoluwa Adelani, Daud Abolade, Noah A. Smith, Yulia Tsvetkov
Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects. CoRR (2024)
Yichen Wang, Shangbin Feng, Abe Bohan Hou, Xiao Pu, Chao Shen, Xiaoming Liu, Yulia Tsvetkov, Tianxing He
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks. CoRR (2024)
Lucille Njoo, Lee Janzen-Morel, Inna Wanyin Lin, Yulia Tsvetkov
Mental Health Stigma across Diverse Genders in Generative Large Language Models - Abstract (abstract). ML4CMH@AAAI (2024)
Fahim Faisal, Orevaoghene Ahia, Aarohi Srivastava, Kabir Ahuja, David Chiang, Yulia Tsvetkov, Antonios Anastasopoulos
DIALECTBENCH: A NLP Benchmark for Dialects, Varieties, and Closely-Related Languages. CoRR (2024)
Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan Ilgen, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov
MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning. CoRR (2024)
Yu Ying Chiu, Liwei Jiang, Maria Antoniak, Chan Young Park, Shuyue Stella Li, Mehar Bhatia, Sahithya Ravi, Yulia Tsvetkov, Vered Shwartz, Yejin Choi
CulturalTeaming: AI-Assisted Interactive Red-Teaming for Challenging LLMs' (Lack of) Multicultural Knowledge. CoRR (2024)
Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xiaochuang Han, Tianxing He, Yulia Tsvetkov
Can LLM Graph Reasoning Generalize beyond Pattern Memorization? CoRR (2024)
Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, Minnan Luo
DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection. ACL (Findings) (2024)
Alisa Liu, Xiaochuang Han, Yizhong Wang, Yulia Tsvetkov, Yejin Choi, Noah A. Smith
Tuning Language Models by Proxy. CoRR (2024)
Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, Khyathi Raghavi Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi
The Art of Saying No: Contextual Noncompliance in Language Models. CoRR (2024)
Michael Duan, Anshuman Suri, Niloofar Mireshghallah, Sewon Min, Weijia Shi, Luke Zettlemoyer, Yulia Tsvetkov, Yejin Choi, David Evans, Hannaneh Hajishirzi
Do Membership Inference Attacks Work on Large Language Models? CoRR (2024)
Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, Minnan Luo
DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection. CoRR (2024)
Yichen Wang, Shangbin Feng, Abe Bohan Hou, Xiao Pu, Chao Shen, Xiaoming Liu, Yulia Tsvetkov, Tianxing He
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks. ACL (1) (2024)
Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models. ICLR (2024)
Aly M. Kassem, Omar Mahmoud, Niloofar Mireshghallah, Hyunwoo Kim, Yulia Tsvetkov, Yejin Choi, Sherif Saad, Santu Rana
Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs. CoRR (2024)
Abe Bohan Hou, Jingyu Zhang, Tianxing He, Yichen Wang, Yung-Sung Chuang, Hongwei Wang, Lingfeng Shen, Benjamin Van Durme, Daniel Khashabi, Yulia Tsvetkov
SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation. NAACL-HLT (2024)
Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov
P³Sum: Preserving Author's Perspective in News Summarization with Diffusion Language Models. NAACL-HLT (2024)
Kabir Ahuja, Vidhisha Balachandran, Madhur Panwar, Tianxing He, Noah A. Smith, Navin Goyal, Yulia Tsvetkov
Learning Syntax Without Planting Trees: Understanding When and Why Transformers Generalize Hierarchically. CoRR (2024)
Sachin Kumar, Chan Young Park, Yulia Tsvetkov
Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions. ICLR (2024)
Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad
David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs. NAACL-HLT (2024)
Roy Xie, Orevaoghene Ahia, Yulia Tsvetkov, Antonios Anastasopoulos
Extracting Lexical Features from Dialects via Interpretable Dialect Classifiers. CoRR (2024)
Bingbing Wen, Jihan Yao, Shangbin Feng, Chenjun Xu, Yulia Tsvetkov, Bill Howe, Lucy Lu Wang
The Art of Refusal: A Survey of Abstention in Large Language Models. CoRR (2024)
Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration. CoRR (2024)
Yuyang Bai, Shangbin Feng, Vidhisha Balachandran, Zhaoxuan Tan, Shiqi Lou, Tianxing He, Yulia Tsvetkov
KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models. WWW (2024)
Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan, Minnan Luo, Yulia Tsvetkov
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection. CoRR (2024)
Abhika Mishra, Akari Asai, Vidhisha Balachandran, Yizhong Wang, Graham Neubig, Yulia Tsvetkov, Hannaneh Hajishirzi
Fine-grained Hallucination Detection and Editing for Language Models. CoRR (2024)
Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan, Minnan Luo, Yulia Tsvetkov
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection. ACL (1) (2024)
Melanie Sclar, Yejin Choi, Yulia Tsvetkov, Alane Suhr
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting. ICLR (2024)
Akari Asai, Sneha Kudugunta, Xinyan Yu, Terra Blevins, Hila Gonen, Machel Reid, Yulia Tsvetkov, Sebastian Ruder, Hannaneh Hajishirzi
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer. NAACL-HLT (2024)
Chan Young Park, Shuyue Stella Li, Hayoung Jung, Svitlana Volkova, Tanushree Mitra, David Jurgens, Yulia Tsvetkov
ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions. CoRR (2024)
Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Valentin Hoffman, Tomasz Limisiewicz, Yulia Tsvetkov, Noah A. Smith
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization. CoRR (2024)
Shangbin Feng, Taylor Sorensen, Yuhan Liu, Jillian Fisher, Chan Young Park, Yejin Choi, Yulia Tsvetkov
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration. CoRR (2024)
Niloofar Mireshghallah, Hyunwoo Kim, Xuhui Zhou, Yulia Tsvetkov, Maarten Sap, Reza Shokri, Yejin Choi
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory. ICLR (2024)
Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models. ACL (Findings) (2024)
Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei, Yulia Tsvetkov
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding. ACL (1) (2023)
Lucille Njoo, Chan Young Park, Octavia Stappart, Marvin Thielk, Yi Chu, Yulia Tsvetkov
TalkUp: A Novel Dataset Paving the Way for Understanding Empowering Language. CoRR (2023)
Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. CoRR (2023)
Niloofar Mireshghallah, Hyunwoo Kim, Xuhui Zhou, Yulia Tsvetkov, Maarten Sap, Reza Shokri, Yejin Choi
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory. CoRR (2023)
Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov
What Constitutes a Faithful Summary? Preserving Author Perspectives in News Summarization. CoRR (2023)
Yueqi Song, Catherine Cui, Simran Khanuja, Pengfei Liu, Fahim Faisal, Alissa Ostapenko, Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Yulia Tsvetkov, Antonios Anastasopoulos, Graham Neubig
GlobalBench: A Benchmark for Global Progress in Natural Language Processing. CoRR (2023)
Shangbin Feng, Chan Young Park, Yuhan Liu, Yulia Tsvetkov
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models. CoRR (2023)
Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? EMNLP (Findings) (2023)
Anjalie Field, Amanda Coston, Nupoor Gandhi, Alexandra Chouldechova, Emily Putnam-Hornstein, David Steier, Yulia Tsvetkov
Examining risks of racial biases in NLP tools for child protective services. CoRR (2023)
Melanie Sclar, Yejin Choi, Yulia Tsvetkov, Alane Suhr
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting. CoRR (2023)
Xiao Pu, Jingyu Zhang, Xiaochuang Han, Yulia Tsvetkov, Tianxing He
On the Zero-Shot Generalization of Machine-Generated Text Detectors. EMNLP (Findings) (2023)
Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. EMNLP (2023)
Shangbin Feng, Chan Young Park, Yuhan Liu, Yulia Tsvetkov
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models. ACL (1) (2023)
Lucille Njoo, Chan Young Park, Octavia Stappart, Marvin Thielk, Yi Chu, Yulia Tsvetkov
TalkUp: Paving the Way for Understanding Empowering Language. EMNLP (Findings) (2023)
Akari Asai, Sneha Kudugunta, Xinyan Velocity Yu, Terra Blevins, Hila Gonen, Machel Reid, Yulia Tsvetkov, Sebastian Ruder, Hannaneh Hajishirzi
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer. CoRR (2023)
Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi, Yulia Tsvetkov
Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker. CoRR (2023)
Sachin Kumar, Chan Young Park, Yulia Tsvetkov
Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions. CoRR (2023)
Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. CoRR (2023)
Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge. CoRR (2023)
Leon Derczynski, Hannah Rose Kirk, Vidhisha Balachandran, Sachin Kumar, Yulia Tsvetkov, M. R. Leiser, Saif Mohammad
Assessing Language Model Deployment with Risk Cards. CoRR (2023)
Anjalie Field, Amanda Coston, Nupoor Gandhi, Alexandra Chouldechova, Emily Putnam-Hornstein, David Steier, Yulia Tsvetkov
Examining risks of racial biases in NLP tools for child protective services. FAccT (2023)
Xiao Pu, Jingyu Zhang, Xiaochuang Han, Yulia Tsvetkov, Tianxing He
On the Zero-Shot Generalization of Machine-Generated Text Detectors. CoRR (2023)
Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov
Unsupervised Keyphrase Extraction via Interpretable Neural Networks. EACL (Findings) (2023)
Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James R. Glass, Yulia Tsvetkov
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation. ACL (1) (2023)
Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models. CoRR (2023)
Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov
BotPercent: Estimating Bot Populations in Twitter Communities. EMNLP (Findings) (2023)
Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control. ACL (1) (2023)
Yuyang Bai, Shangbin Feng, Vidhisha Balachandran, Zhaoxuan Tan, Shiqi Lou, Tianxing He, Yulia Tsvetkov
KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models. CoRR (2023)
Mengke Zhang, Tianxing He, Tianle Wang, Lu Mi, Fatemehsadat Mireshghallah, Binyi Chen, Hao Wang, Yulia Tsvetkov
LatticeGen: A Cooperative Framework which Hides Generated Text in a Lattice for Privacy-Aware Generation on Cloud. CoRR (2023)
Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad
SSD-2: Scaling and Inference-time Fusion of Diffusion Language Models. CoRR (2023)
Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz, Tianlu Wang
Understanding In-Context Learning via Supportive Pretraining Data. ACL (1) (2023)
Orevaoghene Ahia, Hila Gonen, Vidhisha Balachandran, Yulia Tsvetkov, Noah A. Smith
LEXPLAIN: Improving Model Explanations via Lexicon Supervision. *SEM@ACL (2023)
Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Scott Wen-tau Yih
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. CoRR (2023)
Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. EMNLP (2023)
Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov
Can Language Models Solve Graph Problems in Natural Language? CoRR (2023)
Yueqi Song, Simran Khanuja, Pengfei Liu, Fahim Faisal, Alissa Ostapenko, Genta Winata, Alham Fikri Aji, Samuel Cahyawijaya, Yulia Tsvetkov, Antonios Anastasopoulos, Graham Neubig
GlobalBench: A Benchmark for Global Progress in Natural Language Processing. EMNLP (2023)
Yike Wang, Shangbin Feng, Heng Wang, Weijia Shi, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
Resolving Knowledge Conflicts in Large Language Models. CoRR (2023)
Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi, Yulia Tsvetkov
Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker. ACL (1) (2023)
Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz, Tianlu Wang
Understanding In-Context Learning via Supportive Pretraining Data. CoRR (2023)
Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov
BotPercent: Estimating Twitter Bot Populations from Groups to Crowds. CoRR (2023)
Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov
Can Language Models Solve Graph Problems in Natural Language? NeurIPS (2023)
Abe Bohan Hou, Jingyu Zhang, Tianxing He, Yichen Wang, Yung-Sung Chuang, Hongwei Wang, Lingfeng Shen, Benjamin Van Durme, Daniel Khashabi, Yulia Tsvetkov
SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation. CoRR (2023)
Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey. EACL (2023)
Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit S. Dhillon, Yulia Tsvetkov, Hannaneh Hajishirzi, Sham M. Kakade, Ali Farhadi, Prateek Jain
MatFormer: Nested Transformer for Elastic Inference. CoRR (2023)
Inna Wanyin Lin, Lucille Njoo, Anjalie Field, Ashish Sharma, Katharina Reinecke, Tim Althoff, Yulia Tsvetkov
Gendered Mental Health Stigma in Masked Language Models. CoRR (2022)
Chan Young Park, Julia Mendelsohn, Anjalie Field, Yulia Tsvetkov
VoynaSlov: A Data Set of Russian Social Media Activity during the 2022 Ukraine-Russia War. CoRR (2022)
Artidoro Pagnoni, Martin Graciarena, Yulia Tsvetkov
Threat Scenarios and Best Practices to Detect Neural Fake News. COLING (2022)
Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey. CoRR (2022)
Sachin Kumar, Biswajit Paria, Yulia Tsvetkov
Constrained Sampling from Language Models via Langevin Dynamics in Embedding Spaces. CoRR (2022)
Anjalie Field, Chan Young Park, Kevin Z. Lin, Yulia Tsvetkov
Controlled Analyses of Social Biases in Wikipedia Bios. WWW (2022)
Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei, Yulia Tsvetkov
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding. CoRR (2022)
Alissa Ostapenko, Shuly Wintner, Melinda Fricke, Yulia Tsvetkov
Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching. CoRR (2022)
Chan Young Park, Julia Mendelsohn, Anjalie Field, Yulia Tsvetkov
Challenges and Opportunities in Information Manipulation Detection: An Examination of Wartime Russian Media. EMNLP (Findings) (2022)
Vidhisha Balachandran, Hannaneh Hajishirzi, William W. Cohen, Yulia Tsvetkov
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. EMNLP (2022)
Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James R. Glass, Yulia Tsvetkov
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation. CoRR (2022)
Xiaochuang Han, Yulia Tsvetkov
ORCA: Interpreting Prompted Language Models via Locating Supporting Data Evidence in the Ocean of Pretraining Data. CoRR (2022)
Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov, Yejin Choi
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation. CoRR (2022)
Inna W. Lin, Lucille Njoo, Anjalie Field, Ashish Sharma, Katharina Reinecke, Tim Althoff, Yulia Tsvetkov
Gendered Mental Health Stigma in Masked Language Models. EMNLP (2022)
Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) (2022)
Sachin Kumar, Biswajit Paria, Yulia Tsvetkov
Gradient-based Constrained Sampling from Language Models. EMNLP (2022)
Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision. ICLR (2022)
Vidhisha Balachandran, Hannaneh Hajishirzi, William W. Cohen, Yulia Tsvetkov
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. CoRR (2022)
Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov, Yejin Choi
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation. EMNLP (2022)
Alissa Ostapenko, Shuly Wintner, Melinda Fricke, Yulia Tsvetkov
Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching. ACL (1) (2022)
Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yulia Tsvetkov