Khyathi Raghavi Chandu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
8
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Synthetic Visual Genome. | Jae Sung Park, Zixian Ma, Linjie Li, Chenhao Zheng, Cheng-Yu Hsieh, Ximing Lu, Khyathi Raghavi Chandu, Quan Kong, Norimasa Kobori, Ali Farhadi, Yejin Choi, Ranjay Krishna |
| 2025 | ICLR | CertainlyUncertain: 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 |
| 2025 | ICLR | WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild. | Bill Yuchen Lin, Yuntian Deng, Khyathi Raghavi Chandu, Abhilasha Ravichander, Valentina Pyatkin, Nouha Dziri, Ronan Le Bras, Yejin Choi |
| 2025 | ICLR | 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 |
| 2025 | NAACL | RewardBench: Evaluating Reward Models for Language Modeling. | Nathan Lambert, Valentina Pyatkin, Jacob Morrison, Lester James V. Miranda, Bill Yuchen Lin, Khyathi Raghavi Chandu, Nouha Dziri, Sachin Kumar, Tom Zick, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi |
| 2025 | NAACL | 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 |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | EMNLP | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | NAACL | 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, Joo Sedoc, Daniel Deutsch, Simon Mille, Yixin Liu, Sebastian Gehrmann, Lining Zhang, Saad Mahamood, Miruna Clinciu, Khyathi Raghavi Chandu, Yufang Hou |
| 2023 | ACL | 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, Joo Sedoc |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | INLG | 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 |
| 2022 | COLING | 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 |
| 2021 | ACL | Grounding 'Grounding' in NLP. | Khyathi Raghavi Chandu, Yonatan Bisk, Alan W. Black |
| 2021 | EMNLP | Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching. | Parul Chopra, Sai Krishna Rallabandi, Alan W. Black, Khyathi Raghavi Chandu |
| 2020 | EMNLP | Reading Between the Lines: Exploring Infilling in Visual Narratives. | Khyathi Raghavi Chandu, Ruo-Ping Dong, Alan W. Black |
| 2020 | Interspeech | Style Variation as a Vantage Point for Code-Switching. | Khyathi Raghavi Chandu, Alan W. Black |
| 2019 | ACL | Storyboarding of Recipes: Grounded Contextual Generation. | Khyathi Raghavi Chandu, Eric Nyberg, Alan W. Black |
| 2019 | ICLR | Storyboarding of Recipes: Grounded Contextual Generation. | Khyathi Raghavi Chandu, Eric Nyberg, Alan W. Black |
| 2018 | ACL | Comparative Analysis of Neural QA models on SQuAD. | Soumya Wadhwa, Khyathi Raghavi Chandu, Eric Nyberg |
| 2017 | Interspeech | Speech Synthesis for Mixed-Language Navigation Instructions. | Khyathi Raghavi Chandu, Sai Krishna Rallabandi, Sunayana Sitaram, Alan W. Black |