Khyathi Raghavi Chandu

According to our database, Khyathi Raghavi Chandu authored at least 54 papers between 2015 and 2024.

Collaborative distances:

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

2024

AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text.

Ximing Lu, Melanie Sclar, Skyler Hallinan, Niloofar Mireshghallah, Jiacheng Liu, Seungju Han, Allyson Ettinger, Liwei Jiang, Khyathi Raghavi Chandu, Nouha Dziri, Yejin Choi

CoRR, 2024

WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries.

Wenting Zhao, Tanya Goyal, Yu Ying Chiu, Liwei Jiang, Benjamin Newman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Ronan Le Bras, Claire Cardie, Yuntian Deng, Yejin Choi

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

Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness.

Khyathi Raghavi Chandu, Linjie Li, Anas Awadalla, Ximing Lu, Jae Sung Park, Jack Hessel, Lijuan Wang, Yejin Choi

CoRR, 2024

DataComp-LM: In search of the next generation of training sets for language models.

Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar

CoRR, 2024

WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild.

Bill Yuchen Lin, Yuntian Deng, Khyathi Raghavi Chandu, Faeze Brahman, Abhilasha Ravichander, Valentina Pyatkin, Nouha Dziri, Ronan Le Bras, Yejin Choi

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

L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects.

Yutaro Yamada, Khyathi Raghavi Chandu, Bill Yuchen Lin, Jack Hessel, Ilker Yildirim, Yejin Choi

CoRR, 2024

OLMo: Accelerating the Science of Language Models.

Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi

CoRR, 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

CoRR, 2024

On the Role of Summary Content Units in Text Summarization Evaluation.

Marcel Nawrath, Agnieszka Nowak, Tristan Ratz, Danilo C. Walenta, Juri Opitz, Leonardo F. R. Ribeiro, João Sedoc, Daniel Deutsch, Simon Mille, Yixin Liu, Sebastian Gehrmann, Lining Zhang, Saad Mahamood, Miruna Clinciu, Khyathi Raghavi Chandu, Yufang Hou

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

The Generative AI Paradox: "What It Can Create, It May Not Understand".

Peter West, Ximing Lu, Nouha Dziri, Faeze Brahman, Linjie Li, Jena D. Hwang, Liwei Jiang, Jillian Fisher, Abhilasha Ravichander, Khyathi Raghavi Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, Yejin Choi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning.

Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Raghavi Chandu, Chandra Bhagavatula, Yejin Choi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals.

Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Raghavi Chandu, Vivek Srikumar, Sameer Singh, Noah A. Smith

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

Agent Lumos: Unified and Modular Training for Open-Source Language Agents.

Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin

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

Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning.

Tejas Srinivasan, Jack Hessel, Tanmay Gupta, Bill Yuchen Lin, Yejin Choi, Jesse Thomason, Khyathi Raghavi Chandu

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

Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models.

Anthony Sicilia, Hyunwoo Kim, Khyathi Raghavi Chandu, Malihe Alikhani, Jack Hessel

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

OLMo: Accelerating the Science of Language Models.

Dirk Groeneveld, Iz Beltagy, Evan Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi

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

2023

Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs.

Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin

CoRR, 2023

Curriculum Script Distillation for Multilingual Visual Question Answering.

Khyathi Raghavi Chandu, Alborz Geramifard

CoRR, 2023

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources.

Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Raghavi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Localized Symbolic Knowledge Distillation for Visual Commonsense Models.

Jae Sung Park, Jack Hessel, Khyathi Raghavi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LOWRECORP: the Low-Resource NLG Corpus Building Challenge.

Khyathi Raghavi Chandu, David M. Howcroft, Dimitra Gkatzia, Yi-Ling Chung, Yufang Hou, Chris Chinenye Emezue, Pawan Rajpoot, Tosin P. Adewumi

Proceedings of the 16th International Natural Language Generation Conference, 2023

NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation.

Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Raghavi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi

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

Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning.

Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Raghavi Chandu, Abhilasha Ravichander, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Y. Lin, Skyler Hallinan, Lianhui Qin, Xiang Ren, Sean Welleck, Yejin Choi

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

Continual Dialogue State Tracking via Example-Guided Question Answering.

Hyundong Cho, Andrea Madotto, Zhaojiang Lin, Khyathi Raghavi Chandu, Satwik Kottur, Jing Xu, Jonathan May, Chinnadhurai Sankar

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

A Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization.

Lining Zhang, Simon Mille, Yufang Hou, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Saad Mahamood, Sebastian Gehrmann, Miruna Clinciu, Khyathi Raghavi Chandu, João Sedoc

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

2022

Needle in a Haystack: An Analysis of Finding Qualified Workers on MTurk for Summarization.

Lining Zhang, João Sedoc, Simon Mille, Yufang Hou, Sebastian Gehrmann, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Miruna Clinciu, Saad Mahamood, Khyathi Raghavi Chandu

CoRR, 2022

Multilingual Multimodality: A Taxonomical Survey of Datasets, Techniques, Challenges and Opportunities.

Khyathi Raghavi Chandu, Alborz Geramifard

CoRR, 2022

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.

Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou

CoRR, 2022

Denoising Large-Scale Image Captioning from Alt-text Data Using Content Selection Models.

Khyathi Raghavi Chandu, Piyush Sharma, Soravit Changpinyo, Ashish V. Thapliyal, Radu Soricut

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

2021

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics.

Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou

CoRR, 2021

Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching.

Parul Chopra, Sai Krishna Rallabandi, Alan W. Black, Khyathi Raghavi Chandu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Grounding 'Grounding' in NLP.

Khyathi Raghavi Chandu, Yonatan Bisk, Alan W. Black

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

CodemixedNLP: An Extensible and Open NLP Toolkit for Code-Mixing.

Sai Muralidhar Jayanthi, Kavya Nerella, Khyathi Raghavi Chandu, Alan W. Black

Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching, 2021

2020

Dissecting the components and factors of Neural Text Generation.

Khyathi Raghavi Chandu, Alan W. Black

CoRR, 2020

Weakly Supervised Content Selection for Improved Image Captioning.

Khyathi Raghavi Chandu, Piyush Sharma, Soravit Changpinyo, Ashish V. Thapliyal, Radu Soricut

CoRR, 2020

Style Variation as a Vantage Point for Code-Switching.

Khyathi Raghavi Chandu, Alan W. Black

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Reading Between the Lines: Exploring Infilling in Visual Narratives.

Khyathi Raghavi Chandu, Ruo-Ping Dong, Alan W. Black

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

2019

Induction and Reference of Entities in a Visual Story.

Ruo-Ping Dong, Khyathi Raghavi Chandu, Alan W. Black

CoRR, 2019

"My Way of Telling a Story": Persona based Grounded Story Generation.

Shrimai Prabhumoye, Khyathi Raghavi Chandu, Ruslan Salakhutdinov, Alan W. Black

CoRR, 2019

A Survey of Code-switched Speech and Language Processing.

Sunayana Sitaram, Khyathi Raghavi Chandu, Sai Krishna Rallabandi, Alan W. Black

CoRR, 2019

Storyboarding of Recipes: Grounded Contextual Generation.

Khyathi Raghavi Chandu, Eric Nyberg, Alan W. Black

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

2018

Textually Enriched Neural Module Networks for Visual Question Answering.

Khyathi Raghavi Chandu, Mary Arpita Pyreddy, Matthieu Felix, Narendra Nath Joshi

CoRR, 2018

Comparative Analysis of Neural QA models on SQuAD.

Soumya Wadhwa, Khyathi Raghavi Chandu, Eric Nyberg

Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, 2018

Tackling Code-Switched NER: Participation of CMU.

Parvathy Geetha, Khyathi Raghavi Chandu, Alan W. Black

Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching@ACL 2018, 2018

Language Informed Modeling of Code-Switched Text.

Khyathi Raghavi Chandu, Thomas Manzini, Sumeet Singh, Alan W. Black

Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching@ACL 2018, 2018

Code-Mixed Question Answering Challenge: Crowd-sourcing Data and Techniques.

Khyathi Raghavi Chandu, Ekaterina Loginova, Vishal Gupta, Josef van Genabith, Günter Neumann, Manoj Kumar Chinnakotla, Eric Nyberg, Alan W. Black

Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching@ACL 2018, 2018

2017

Speech Synthesis for Mixed-Language Navigation Instructions.

Khyathi Raghavi Chandu, Sai Krishna Rallabandi, Sunayana Sitaram, Alan W. Black

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

"nee intention enti?" towards dialog act recognition in code-mixed conversations.

Divya Sai Jitta, Khyathi Raghavi Chandu, Harsha Pamidipalli, Radhika Mamidi

Proceedings of the 2017 International Conference on Asian Language Processing, 2017

WebShodh: A Code Mixed Factoid Question Answering System for Web.

Khyathi Raghavi Chandu, Manoj Kumar Chinnakotla, Alan W. Black, Manish Shrivastava

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2017

Tackling Biomedical Text Summarization: OAQA at BioASQ 5B.

Khyathi Raghavi Chandu, Aakanksha Naik, Aditya Chandrasekar, Zi Yang, Niloy Gupta, Eric Nyberg

Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017

2015

"Answer ka type kya he?": Learning to Classify Questions in Code-Mixed Language.

Khyathi Chandu Raghavi, Manoj Kumar Chinnakotla, Manish Shrivastava

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