Khyathi Raghavi Chandu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 54

Top Topics

Source Language

Question Answering

Top Venues

Publications

Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin
Agent Lumos: Unified and Modular Training for Open-Source Language Agents. ACL (1) (2024)
Bill Yuchen Lin, Yuntian Deng, Khyathi Raghavi Chandu, Faeze Brahman, Abhilasha Ravichander, Valentina Pyatkin, Nouha Dziri, Ronan Le Bras, Yejin Choi
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild. CoRR (2024)
Khyathi Raghavi Chandu, Linjie Li, Anas Awadalla, Ximing Lu, Jae Sung Park, Jack Hessel, Lijuan Wang, Yejin Choi
Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness. CoRR (2024)
Marcel Nawrath, Agnieszka Nowak, Tristan Ratz, Danilo C. Walenta, Juri Opitz, Leonardo F. R. Ribeiro, João Sedoc, Daniel Deutsch, Simon Mille, Yixin Liu, Lining Zhang, Sebastian Gehrmann, Saad Mahamood, Miruna Clinciu, Khyathi Raghavi Chandu, Yufang Hou
On the Role of Summary Content Units in Text Summarization Evaluation. CoRR (2024)
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
The Generative AI Paradox: "What It Can Create, It May Not Understand". ICLR (2024)
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
OLMo: Accelerating the Science of Language Models. CoRR (2024)
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
RewardBench: Evaluating Reward Models for Language Modeling. CoRR (2024)
Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash 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
DataComp-LM: In search of the next generation of training sets for language models. 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)
Anthony Sicilia, Hyunwoo Kim, Khyathi Raghavi Chandu, Malihe Alikhani, Jack Hessel
Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models. ACL (Findings) (2024)
Tejas Srinivasan, Jack Hessel, Tanmay Gupta, Bill Yuchen Lin, Yejin Choi, Jesse Thomason, Khyathi Raghavi Chandu
Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning. CoRR (2024)
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
WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries. CoRR (2024)
Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Raghavi Chandu, Chandra Bhagavatula, Yejin Choi
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning. ICLR (2024)
Tejas Srinivasan, Jack Hessel, Tanmay Gupta, Bill Yuchen Lin, Yejin Choi, Jesse Thomason, Khyathi Raghavi Chandu
Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning. ACL (Findings) (2024)
Anthony Sicilia, Hyunwoo Kim, Khyathi Raghavi Chandu, Malihe Alikhani, Jack Hessel
Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models. CoRR (2024)
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
Localized Symbolic Knowledge Distillation for Visual Commonsense Models. CoRR (2023)
Hyundong Cho, Andrea Madotto, Zhaojiang Lin, Khyathi Raghavi Chandu, Satwik Kottur, Jing Xu, Jonathan May, Chinnadhurai Sankar
Continual Dialogue State Tracking via Example-Guided Question Answering. EMNLP (2023)
Khyathi Raghavi Chandu, Alborz Geramifard
Curriculum Script Distillation for Multilingual Visual Question Answering. CoRR (2023)
Khyathi Raghavi Chandu, David M. Howcroft, Dimitra Gkatzia, Yi-Ling Chung, Yufang Hou, Chris Chinenye Emezue, Pawan Rajpoot, Tosin P. Adewumi
LOWRECORP: the Low-Resource NLG Corpus Building Challenge. INLG (Generation Challenges) (2023)
Hyundong Cho, Andrea Madotto, Zhaojiang Lin, Khyathi Raghavi Chandu, Satwik Kottur, Jing Xu, Jonathan May, Chinnadhurai Sankar
Continual Dialogue State Tracking via Example-Guided Question Answering. CoRR (2023)
Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Raghavi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources. CoRR (2023)
Lining Zhang, Simon Mille, Yufang Hou, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Saad Mahamood, Sebastian Gehrmann, Miruna Clinciu, Khyathi Raghavi Chandu, João Sedoc
A Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization. ACL (1) (2023)
Khyathi Raghavi Chandu, Alborz Geramifard
Multilingual Multimodality: A Taxonomical Survey of Datasets, Techniques, Challenges and Opportunities. CoRR (2022)
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
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR (2022)
Lining Zhang, João Sedoc, Simon Mille, Yufang Hou, Sebastian Gehrmann, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Miruna Clinciu, Saad Mahamood, Khyathi Raghavi Chandu
Needle in a Haystack: An Analysis of Finding Qualified Workers on MTurk for Summarization. CoRR (2022)
Khyathi Raghavi Chandu, Piyush Sharma, Soravit Changpinyo, Ashish V. Thapliyal, Radu Soricut
Denoising Large-Scale Image Captioning from Alt-text Data Using Content Selection Models. COLING (2022)
Khyathi Raghavi Chandu, Yonatan Bisk, Alan W. Black
Grounding 'Grounding' in NLP. ACL/IJCNLP (Findings) (2021)
Khyathi Raghavi Chandu, Yonatan Bisk, Alan W. Black
Grounding 'Grounding' in NLP. CoRR (2021)
Parul Chopra, Sai Krishna Rallabandi, Alan W. Black, Khyathi Raghavi Chandu
Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching. CoRR (2021)
Parul Chopra, Sai Krishna Rallabandi, Alan W. Black, Khyathi Raghavi Chandu
Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching. EMNLP (Findings) (2021)
Sai Muralidhar Jayanthi, Kavya Nerella, Khyathi Raghavi Chandu, Alan W. Black
CodemixedNLP: An Extensible and Open NLP Toolkit for Code-Mixing. CoRR (2021)
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
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. CoRR (2021)
Sai Muralidhar Jayanthi, Kavya Nerella, Khyathi Raghavi Chandu, Alan W. Black
CodemixedNLP: An Extensible and Open NLP Toolkit for Code-Mixing. CALCS@NAACL (2021)
Khyathi Raghavi Chandu, Piyush Sharma, Soravit Changpinyo, Ashish V. Thapliyal, Radu Soricut
Weakly Supervised Content Selection for Improved Image Captioning. CoRR (2020)
Khyathi Raghavi Chandu, Ruo-Ping Dong, Alan W. Black
Reading Between the Lines: Exploring Infilling in Visual Narratives. EMNLP (1) (2020)
Khyathi Raghavi Chandu, Alan W. Black
Dissecting the components and factors of Neural Text Generation. CoRR (2020)
Khyathi Raghavi Chandu, Alan W. Black
Style Variation as a Vantage Point for Code-Switching. CoRR (2020)
Khyathi Raghavi Chandu, Ruo-Ping Dong, Alan W. Black
Reading Between the Lines: Exploring Infilling in Visual Narratives. CoRR (2020)
Khyathi Raghavi Chandu, Alan W. Black
Style Variation as a Vantage Point for Code-Switching. INTERSPEECH (2020)
Ruo-Ping Dong, Khyathi Raghavi Chandu, Alan W. Black
Induction and Reference of Entities in a Visual Story. CoRR (2019)
Sunayana Sitaram, Khyathi Raghavi Chandu, Sai Krishna Rallabandi, Alan W. Black
A Survey of Code-switched Speech and Language Processing. CoRR (2019)
Shrimai Prabhumoye, Khyathi Raghavi Chandu, Ruslan Salakhutdinov, Alan W. Black
"My Way of Telling a Story": Persona based Grounded Story Generation. CoRR (2019)
Khyathi Raghavi Chandu, Eric Nyberg, Alan W. Black
Storyboarding of Recipes: Grounded Contextual Generation. DGS@ICLR (2019)
Khyathi Raghavi Chandu, Eric Nyberg, Alan W. Black
Storyboarding of Recipes: Grounded Contextual Generation. ACL (1) (2019)
Khyathi Raghavi Chandu, Thomas Manzini, Sumeet Singh, Alan W. Black
Language Informed Modeling of Code-Switched Text. CodeSwitch@ACL (2018)
Soumya Wadhwa, Khyathi Raghavi Chandu, Eric Nyberg
Comparative Analysis of Neural QA models on SQuAD. CoRR (2018)
Khyathi Raghavi Chandu, Ekaterina Loginova, Vishal Gupta, Josef van Genabith, Günter Neumann, Manoj Kumar Chinnakotla, Eric Nyberg, Alan W. Black
Code-Mixed Question Answering Challenge: Crowd-sourcing Data and Techniques. CodeSwitch@ACL (2018)
Soumya Wadhwa, Khyathi Raghavi Chandu, Eric Nyberg
Comparative Analysis of Neural QA models on SQuAD. QA@ACL (2018)
Khyathi Raghavi Chandu, Mary Arpita Pyreddy, Matthieu Felix, Narendra Nath Joshi
Textually Enriched Neural Module Networks for Visual Question Answering. CoRR (2018)
Parvathy Geetha, Khyathi Raghavi Chandu, Alan W. Black
Tackling Code-Switched NER: Participation of CMU. CodeSwitch@ACL (2018)
Khyathi Raghavi Chandu, Manoj Kumar Chinnakotla, Alan W. Black, Manish Shrivastava
WebShodh: A Code Mixed Factoid Question Answering System for Web. CLEF (2017)
Khyathi Raghavi Chandu, Aakanksha Naik, Aditya Chandrasekar, Zi Yang, Niloy Gupta, Eric Nyberg
Tackling Biomedical Text Summarization: OAQA at BioASQ 5B. BioNLP (2017)
Divya Sai Jitta, Khyathi Raghavi Chandu, Harsha Pamidipalli, Radhika Mamidi
"nee intention enti?" towards dialog act recognition in code-mixed conversations. IALP (2017)
Khyathi Raghavi Chandu, Sai Krishna Rallabandi, Sunayana Sitaram, Alan W. Black
Speech Synthesis for Mixed-Language Navigation Instructions. INTERSPEECH (2017)