Sachin Kumar

According to our database, Sachin Kumar authored at least 34 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback.

Lester James V. Miranda, Yizhong Wang, Yanai Elazar, Sachin Kumar, Valentina Pyatkin, Faeze Brahman, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi

CoRR, 2024

ComPO: Community Preferences for Language Model Personalization.

Sachin Kumar, Chan Young Park, Yulia Tsvetkov, Noah A. Smith, Hannaneh Hajishirzi

CoRR, 2024

The Art of Saying No: Contextual Noncompliance in Language Models.

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

CoRR, 2024

MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization.

Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Valentin Hoffman, Tomasz Limisiewicz, Yulia Tsvetkov, Noah A. Smith

CoRR, 2024

WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models.

Liwei Jiang, Kavel Rao, Seungju Han, Allyson Ettinger, Faeze Brahman, Sachin Kumar, Niloofar Mireshghallah, Ximing Lu, Maarten Sap, Yejin Choi, Nouha Dziri

CoRR, 2024

RewardBench: Evaluating Reward Models for Language Modeling.

Nathan Lambert, Valentina Pyatkin, Jacob Morrison, LJ Miranda, Bill Yuchen Lin, Khyathi Raghavi Chandu, Nouha Dziri, Sachin Kumar, Tom Zick, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi

CoRR, 2024

P³Sum: Preserving Author's Perspective in News Summarization with Diffusion Language Models.

Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov

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

David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs.

Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad

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

Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions.

Sachin Kumar, Chan Young Park, Yulia Tsvetkov

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.

Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi 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

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

2023

What Constitutes a Faithful Summary? Preserving Author Perspectives in News Summarization.

Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov

CoRR, 2023

SSD-2: Scaling and Inference-time Fusion of Diffusion Language Models.

Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad

CoRR, 2023

Assessing Language Model Deployment with Risk Cards.

Leon Derczynski, Hannah Rose Kirk, Vidhisha Balachandran, Sachin Kumar, Yulia Tsvetkov, Mark R. Leiser, Saif Mohammad

CoRR, 2023

Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models.

Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov

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

Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey.

Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker.

Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi, Yulia Tsvetkov

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

On the Blind Spots of Model-Based Evaluation Metrics for Text Generation.

Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James R. Glass, Yulia Tsvetkov

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

SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control.

Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov

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

2022

Constrained Sampling from Language Models via Langevin Dynamics in Embedding Spaces.

Sachin Kumar, Biswajit Paria, Yulia Tsvetkov

CoRR, 2022

Accepted Tutorials at The Web Conference 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

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation.

Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov, Yejin Choi

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

Gradient-based Constrained Sampling from Language Models.

Sachin Kumar, Biswajit Paria, Yulia Tsvetkov

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

2021

Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs.

Monisha Jegadeesan, Sachin Kumar, John Wieting, Yulia Tsvetkov

CoRR, 2021

An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation.

Lidia Kidane, Sachin Kumar, Yulia Tsvetkov

Proceedings of the 2nd AfricaNLP Workshop Proceedings, AfricaNLP@EACL 2021, Virtual Event, 2021

Controlled Text Generation as Continuous Optimization with Multiple Constraints.

Sachin Kumar, Eric Malmi, Aliaksei Severyn, Yulia Tsvetkov

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

Machine Translation into Low-resource Language Varieties.

Sachin Kumar, Antonios Anastasopoulos, Shuly Wintner, Yulia Tsvetkov

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

2020

Neural Abstractive Summarization with Structural Attention.

Tanya Chowdhury, Sachin Kumar, Tanmoy Chakraborty

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

End-to-End Differentiable GANs for Text Generation.

Sachin Kumar, Yulia Tsvetkov

Proceedings of the "I Can't Believe It's Not Better!" at NeurIPS Workshops, 2020

A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards.

Zi-Yi Dou, Sachin Kumar, Yulia Tsvetkov

Proceedings of the Fourth Workshop on Neural Generation and Translation, 2020

2019

Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs.

Sachin Kumar, Yulia Tsvetkov

Proceedings of the 7th International Conference on Learning Representations, 2019

Topics to Avoid: Demoting Latent Confounds in Text Classification.

Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov

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

A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation.

Gayatri Bhat, Sachin Kumar, Yulia Tsvetkov

Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019

2018

Mining & Summarizing E-petitions for Enhanced Understanding of Public Opinion.

Shreshtha Mundra, Sachin Kumar, Manjira Sinha, Sandya Mannarswamy

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Earth Mover's Distance Pooling over Siamese LSTMs for Automatic Short Answer Grading.

Sachin Kumar, Soumen Chakrabarti, Shourya Roy

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017