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Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
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ACM, New York, NY, USA, Article 17, 4 pages
Published in DOI=http://dx.doi.org/10.1145/2662117.2662134, 2014
This paper is about ACM, New York, NY, USA, Article 17, 4 pages.
Recommended citation: Sachin Kumar, Vikas C. Raykar, and Priyanka Agrawal. Decisions under drift: Adapting binary decision thresholds to drifts in test distribution. In Proceedings of the 6th IBM Collaborative Academia Research Exchange Conference. (2014). "ACM, New York, NY, USA, Article 17, 4 pages." DOI=http://dx.doi.org/10.1145/2662117.2662134.
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Article 17
Published in 4 pages. DOI=http://dx.doi.org/10.1145/2662117.2662134, 2014
Recommended citation: Sachin Kumar, Vikas C. Raykar, and Priyanka Agrawal. Decisions under drift: Adapting binary decision thresholds to drifts in test distribution. In Proceedings of the 6th IBM Collaborative Academia Research Exchange Conference. ACM, New York, NY, USA. (2014). "Article 17." 4 pages. DOI=http://dx.doi.org/10.1145/2662117.2662134.
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Earth Mover Distance Pooling over Siamese LSTMs for Automatic Short Answer Grading
Published in In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI) 2017, 2017
This paper is about Earth Mover Distance Pooling over Siamese LSTMs for Automatic Short Answer Grading.
Recommended citation: Sachin Kumar, Soumen Chakrabarti, Shourya Roy. (2017). "Earth Mover Distance Pooling over Siamese LSTMs for Automatic Short Answer Grading." In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI) 2017.
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Soumen Chakrabarti
Published in Shourya Roy. Earth Mover Distance Pooling over Siamese LSTMs for Automatic Short Answer Grading. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI) 2017, 2017
Recommended citation: Sachin Kumar. (2017). "Soumen Chakrabarti." Shourya Roy. Earth Mover Distance Pooling over Siamese LSTMs for Automatic Short Answer Grading. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI) 2017.
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Machine Translation with Continuous Outputs
Published in ICML 2018 workshop on Theoretical Foundations and Applications of Deep Generative Models, 2018
Recommended citation: Sachin Kumar, Yulia Tsvetkov. (2018). “Machine Translation with Continuous Outputs.” ICML 2018 workshop on Theoretical Foundations and Applications of Deep Generative Models.
Recommended citation: Sachin Kumar, Yulia Tsvetkov. (2018). "Machine Translation with Continuous Outputs." ICML 2018 workshop on Theoretical Foundations and Applications of Deep Generative Models.
Mining & Summarizing E-petitions for Enhanced Understanding of Public Opinion
Published in In Proceedings of the International Conference on Information and Knowledge Management (CIKM) 2018, 2018
Recommended citation: Shreshtha Mundra*, Sachin Kumar*, Manjira Sinha, Sandya Mannarswamy. (2018). "Mining & Summarizing E-petitions for Enhanced Understanding of Public Opinion." In Proceedings of the International Conference on Information and Knowledge Management (CIKM) 2018.
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Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs
Published in 7th International Conference on Learning Representations (ICLR) 2019, 2018
Recommended citation: Sachin Kumar & Yulia Tsvetkov. (2018). "Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs." 7th International Conference on Learning Representations (ICLR) 2019.
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A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation
Published in The 3rd Workshop on Neural Generation and Translation (EMNLP) 2019, 2019
Recommended citation: Gayatri Bhat, Sachin Kumar, Yulia Tsvetkov. (2019). "A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation." The 3rd Workshop on Neural Generation and Translation (EMNLP) 2019.
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Topics to Avoid: Demoting Latent Confounds in Text Classification
Published in 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP) 2019, 2019
Recommended citation: Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov. (2019). "Topics to Avoid: Demoting Latent Confounds in Text Classification." 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP) 2019.
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Yulia Tsvetkov
Published in A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards. The 4th Workshop on Neural Generation and Translation (ACL) 2020, 2020
Recommended citation: Zi-Yi Dou, Sachin Kumar. (2020). "Yulia Tsvetkov." A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards. The 4th Workshop on Neural Generation and Translation (ACL) 2020.
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Aliaksei Severyn
Published in Yulia Tsvetkov. Controlled Text Generation as Continuous Optimization with Multiple Constraints. Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS) 2021, 2021
Recommended citation: Sachin Kumar, Eric Malmi. (2021). "Aliaksei Severyn." Yulia Tsvetkov. Controlled Text Generation as Continuous Optimization with Multiple Constraints. Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS) 2021.
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An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation
Published in The 2nd AfricaNLP Workshop at EACL 2021, 2021
This paper is about An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation.
Recommended citation: Lidia Kidane, Sachin Kumar, Yulia Tsvetkov. (2021). "An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation." The 2nd AfricaNLP Workshop at EACL 2021.
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Controlled Text Generation as Continuous Optimization with Multiple Constraints
Published in Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS) 2021, 2021
This paper is about Controlled Text Generation as Continuous Optimization with Multiple Constraints.
Recommended citation: Sachin Kumar, Eric Malmi, Aliaksei Severyn, Yulia Tsvetkov. (2021). "Controlled Text Generation as Continuous Optimization with Multiple Constraints." Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS) 2021.
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Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs
Published in Multilingual Representation Learning Workshop at EMNLP 2021, 2021
This paper is about Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs.
Recommended citation: [pdf] [code] Monisha Jegadeesan, Sachin Kumar, John Wieting, Yulia Tsvetkov. (2021). "Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs." Multilingual Representation Learning Workshop at EMNLP 2021.
John Wieting
Published in Yulia Tsvetkov. Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs. Multilingual Representation Learning Workshop at EMNLP 2021, 2021
Recommended citation: [pdf] [code] Monisha Jegadeesan, Sachin Kumar. (2021). “John Wieting.” Yulia Tsvetkov. Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs. Multilingual Representation Learning Workshop at EMNLP 2021.
Recommended citation: [pdf] [code] Monisha Jegadeesan, Sachin Kumar. (2021). "John Wieting." Yulia Tsvetkov. Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs. Multilingual Representation Learning Workshop at EMNLP 2021.
Machine Translation into Low-Resource Language Varieties
Published in In the proceedings of 2021 Conference on Association of Computational Linguistics (ACL), 2021
This paper is about Machine Translation into Low-Resource Language Varieties.
Recommended citation: Sachin Kumar, Antonios Anastasopoulos, Shuly Wintner, Yulia Tsvetkov. (2021). "Machine Translation into Low-Resource Language Varieties." In the proceedings of 2021 Conference on Association of Computational Linguistics (ACL).
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Sachin Kumar
Published in Yulia Tsvetkov. An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation. The 2nd AfricaNLP Workshop at EACL 2021, 2021
Recommended citation: Lidia Kidane. (2021). "Sachin Kumar." Yulia Tsvetkov. An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation. The 2nd AfricaNLP Workshop at EACL 2021.
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Shuly Wintner
Published in Yulia Tsvetkov. Machine Translation into Low-Resource Language Varieties. In the proceedings of 2021 Conference on Association of Computational Linguistics (ACL), 2021
Recommended citation: Sachin Kumar, Antonios Anastasopoulos. (2021). "Shuly Wintner." Yulia Tsvetkov. Machine Translation into Low-Resource Language Varieties. In the proceedings of 2021 Conference on Association of Computational Linguistics (ACL).
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Gradient-based Constrained Sampling from Language Models
Published in 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), 2022
Recommended citation: Sachin Kumar, Biswajit Paria, Yulia Tsvetkov. (2022). "Gradient-based Constrained Sampling from Language Models." 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022).
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Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation
Published in 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), 2022
Recommended citation: Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov and Yejin Choi. (2022). "Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation." 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022).
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Assessing Language Model Deployment with Risk Cards
Published in preprint, 2023
Recommended citation: [pdf] Leon Derczynski, Hannah Rose Kirk, Vidhisha Balachandran, Sachin Kumar, Yulia Tsvetkov, M. R. Leiser, Saif Mohammad. (2023). “Assessing Language Model Deployment with Risk Cards.” preprint.
Recommended citation: [pdf] Leon Derczynski, Hannah Rose Kirk, Vidhisha Balachandran, Sachin Kumar, Yulia Tsvetkov, M. R. Leiser, Saif Mohammad. (2023). "Assessing Language Model Deployment with Risk Cards." preprint.
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models
Published in 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), 2023
Recommended citation: [code] Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov. (2023). "Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models." 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023).
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Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey
Published in 2023 Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), 2023
Recommended citation: Sachin Kumar*, Vidhisha Balachandran*, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov. (2023). "Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey." 2023 Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023).
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Minding Language Models’ Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker
Published in 2023 Conference of the Association for Computational Linguistics (ACL 2023). Outstanding Paper Award, 2023
Recommended citation: [code] Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi and Yulia Tsvetkov. (2023). "Minding Language Models’ Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker." 2023 Conference of the Association for Computational Linguistics (ACL 2023). Outstanding Paper Award.
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On the Blind Spots of Model-Based Evaluation Metrics for Text Generation
Published in 2023 Conference of the Association for Computational Linguistics (ACL 2023), 2023
Recommended citation: [code] Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James Glass, Yulia Tsvetkov. (2023). "On the Blind Spots of Model-Based Evaluation Metrics for Text Generation." 2023 Conference of the Association for Computational Linguistics (ACL 2023).
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SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control
Published in 2023 Conference of the Association for Computational Linguistics (ACL 2023), 2023
Recommended citation: Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov. (2023). "SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control." 2023 Conference of the Association for Computational Linguistics (ACL 2023).
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Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
Published in 2024 Conference of the Association for Computational Linguistics (ACL 2024). Best Resource Paper Award, 2024
Recommended citation: [code] Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo. (2024). "Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research." 2024 Conference of the Association for Computational Linguistics (ACL 2024). Best Resource Paper Award.
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Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions
Published in International Conference on Learning Representations (ICLR 2024), 2024
Recommended citation: Sachin Kumar, Chan Young Park, Yulia Tsvetkov. (2024). "Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions." International Conference on Learning Representations (ICLR 2024).
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MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization
Published in Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS) 2024, 2024
Recommended citation: [code] Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Valentin Hoffman, Tomasz Limisiewicz, Yulia Tsvetkov, Noah A. Smith. (2024). "MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization." Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS) 2024.
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SSD-2: Scaling and Inference-time Fusion of Diffusion Language Models
Published in 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024), 2024
Recommended citation: [code] Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad. (2024). "SSD-2: Scaling and Inference-time Fusion of Diffusion Language Models." 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024).
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The Art of Saying No: Contextual Noncompliance in Language Models
Published in Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS) 2024: Datasets and Benchmarks, 2024
Recommended citation: Faeze Brahman*, Sachin Kumar*, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, Khyathi Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi. (2024). "The Art of Saying No: Contextual Noncompliance in Language Models." Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS) 2024: Datasets and Benchmarks.
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What Constitutes a Faithful Summary? Preserving Author Perspectives in News Summarization
Published in 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024), 2024
Recommended citation: [code] YuHan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov. (2024). "What Constitutes a Faithful Summary? Preserving Author Perspectives in News Summarization." 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024).
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WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models
Published in Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS) 2024, 2024
Recommended citation: [code] Liwei Jiang, Kavel Rao, Seungju Han, Allyson Ettinger, Faeze Brahman, Sachin Kumar, Niloofar Mireshghallah, Ximing Lu, Maarten Sap, Yejin Choi, Nouha Dziri. (2024). "WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models." Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS) 2024.
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A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models
Published in preprint, 2025
Recommended citation: Zhouhang Xie, Junda Wu, Yiran Shen, Yu Xia, Xintong Li, Aaron Chang, Ryan Rossi, Sachin Kumar, Bodhisattwa Prasad Majumder, Jingbo Shang, Prithviraj Ammanabrolu, Julian McAuley. (2025). "A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models." preprint.
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BLAB: Brutally Long Audio Bench
Published in preprint, 2025
Recommended citation: Orevaoghene Ahia, Martijn Bartelds, Kabir Ahuja, Hila Gonen, Valentin Hofmann, Siddhant Arora, Shuyue Stella Li, Vishal Puttagunta, Mofetoluwa Adeyemi, Charishma Buchireddy, Ben Walls, Noah Bennett, Shinji Watanabe, Noah A. Smith, Yulia Tsvetkov, Sachin Kumar. (2025). "BLAB: Brutally Long Audio Bench." preprint.
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ComPO: Community Preferences for Language Model Personalization
Published in 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025), 2025
Recommended citation: Sachin Kumar*, Chan Young Park*, Yulia Tsvetkov, Noah A. Smith, Hannaneh Hajishirzi. (2025). "ComPO: Community Preferences for Language Model Personalization." 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025).
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FLEXITOKENS: Flexible Tokenization for Evolving Language Models
Published in preprint, also presented at Tokenization Workshop @ICML 2025, 2025
Recommended citation: Abraham Toluwase Owodunni, Orevaoghene Ahia, Sachin Kumar. (2025). "FLEXITOKENS: Flexible Tokenization for Evolving Language Models." preprint, also presented at Tokenization Workshop @ICML 2025.
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GroundCocoa: A Benchmark for Evaluating Compositional & Conditional Reasoning in Language Models
Published in 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025), 2025
Recommended citation: Harsh Kohli, Sachin Kumar, Huan Sun. (2025). "GroundCocoa: A Benchmark for Evaluating Compositional & Conditional Reasoning in Language Models." 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025).
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Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback
Published in 2025 Conference of the Association for Computational Linguistics (ACL 2025), 2025
Recommended citation: Lester James V. Miranda, Yizhong Wang, Yanai Elazar, Sachin Kumar, Valentina Pyatkin, Faeze Brahman, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi. (2025). "Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback." 2025 Conference of the Association for Computational Linguistics (ACL 2025).
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On Distributional Robustness of In-Context Learning for Text Classification
Published in Second Workshop on Test-Time Adaptation: Putting Updates to the Test! @ICML 2025, 2025
Recommended citation: [pdf] Carolina Hatanpää, Noah A. Smith, Sachin Kumar. (2025). “On Distributional Robustness of In-Context Learning for Text Classification.” Second Workshop on Test-Time Adaptation: Putting Updates to the Test! @ICML 2025.
Recommended citation: [pdf] Carolina Hatanpää, Noah A. Smith, Sachin Kumar. (2025). "On Distributional Robustness of In-Context Learning for Text Classification." Second Workshop on Test-Time Adaptation: Putting Updates to the Test! @ICML 2025.
RewardBench: Evaluating Reward Models for Language Modeling
Published in 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025) Findings, 2025
Recommended citation: Nathan Lambert, Valentina Pyatkin, Jacob Morrison, LJ Miranda, Bill Yuchen Lin, Khyathi Chandu, Nouha Dziri, Sachin Kumar, Tom Zick, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi. (2025). "RewardBench: Evaluating Reward Models for Language Modeling." 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025) Findings.
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Steering off Course: Reliability Challenges in Steering Language Models
Published in 2025 Conference of the Association for Computational Linguistics (ACL 2025). Oral (top 8%), Panel (top 0.8%), 2025
Recommended citation: Patrick Queiroz Da Silva, Hari Sethuraman, Dheeraj Rajagopal, Hannaneh Hajishirzi, Sachin Kumar. (2025). "Steering off Course: Reliability Challenges in Steering Language Models." 2025 Conference of the Association for Computational Linguistics (ACL 2025). Oral (top 8%), Panel (top 0.8%).
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TESS 2: A Large-Scale Generalist Diffusion Language Model
Published in 2025 Conference of the Association for Computational Linguistics (ACL 2025) Oral (top 8%), 2025
Recommended citation: Jaesung Tae, Hamish Ivison, Sachin Kumar, Arman Cohan. (2025). "TESS 2: A Large-Scale Generalist Diffusion Language Model." 2025 Conference of the Association for Computational Linguistics (ACL 2025) Oral (top 8%).
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teaching
CSE 5539: Advanced Topics in NLP (Seminar)
Autumn 2024, The Ohio State University, Computer Science and Engineering, 2024
CSE 5525: Foundations of Speech and Language Processing
Spring 2025, The Ohio State University, Computer Science and Engineering, 2025
CSE 5525: Foundations of Speech and Language Processing
Autumn 2025, The Ohio State University, Computer Science and Engineering, 2025