Khyathi Raghavi Chandu
Khyathi Raghavi Chandu
Allen Institute for AI
Verified email at - Homepage
Cited by
Cited by
How far can camels go? exploring the state of instruction tuning on open resources
Y Wang, H Ivison, P Dasigi, J Hessel, T Khot, K Chandu, D Wadden, ...
Advances in Neural Information Processing Systems 36, 74764-74786, 2023
The gem benchmark: Natural language generation, its evaluation and metrics
S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ...
arXiv preprint arXiv:2102.01672, 2021
A survey of code-switched speech and language processing
S Sitaram, KR Chandu, SK Rallabandi, AW Black
arXiv preprint arXiv:1904.00784, 2019
" Answer ka type kya he?" Learning to Classify Questions in Code-Mixed Language
KC Raghavi, MK Chinnakotla, M Shrivastava
Proceedings of the 24th International Conference on World Wide Web, 853-858, 2015
The unlocking spell on base llms: Rethinking alignment via in-context learning
BY Lin, A Ravichander, X Lu, N Dziri, M Sclar, K Chandu, C Bhagavatula, ...
The Twelfth International Conference on Learning Representations, 2023
Grounding'grounding'in NLP
KR Chandu, Y Bisk, AW Black
arXiv preprint arXiv:2106.02192, 2021
Code-mixed question answering challenge: Crowd-sourcing data and techniques
K Chandu, E Loginova, V Gupta, J Genabith, G Neumann, M Chinnakotla, ...
Third Workshop on Computational Approaches to Linguistic Code-Switching, 29-38, 2019
Dolma: An open corpus of three trillion tokens for language model pretraining research
L Soldaini, R Kinney, A Bhagia, D Schwenk, D Atkinson, R Authur, ...
arXiv preprint arXiv:2402.00159, 2024
" My Way of Telling a Story": Persona based Grounded Story Generation
S Prabhumoye, KR Chandu, R Salakhutdinov, AW Black
arXiv preprint arXiv:1906.06401, 2019
Olmo: Accelerating the science of language models
D Groeneveld, I Beltagy, P Walsh, A Bhagia, R Kinney, O Tafjord, AH Jha, ...
arXiv preprint arXiv:2402.00838, 2024
Rewardbench: Evaluating reward models for language modeling
N Lambert, V Pyatkin, J Morrison, LJ Miranda, BY Lin, K Chandu, N Dziri, ...
arXiv preprint arXiv:2403.13787, 2024
Tackling biomedical text summarization: Oaqa at bioasq 5b
K Chandu, A Naik, A Chandrasekar, Z Yang, N Gupta, E Nyberg
BioNLP 2017, 58-66, 2017
Storyboarding of recipes: grounded contextual generation
K Chandu, E Nyberg, AW Black
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
Language informed modeling of code-switched text
K Chandu, T Manzini, S Singh, AW Black
Proceedings of the Third Workshop on Computational Approaches to Linguistic …, 2018
WebShodh: A Code Mixed Factoid Question Answering System for Web
KR Chandu, M Chinnakotla, AW Black, M Shrivastava
Experimental IR Meets Multilinguality, Multimodality, and Interaction: 8th …, 2017
Speech Synthesis for Mixed-Language Navigation Instructions.
KR Chandu, SK Rallabandi, S Sitaram, AW Black
INTERSPEECH, 57-61, 2017
Lumos: Learning agents with unified data, modular design, and open-source llms
D Yin, F Brahman, A Ravichander, K Chandu, KW Chang, Y Choi, BY Lin
arXiv preprint arXiv:2311.05657, 2023
Comparative Analysis of Neural QA models on SQuAD
S Wadhwa, KR Chandu, E Nyberg
Association for Computational Linguistics, 89–97, 2018
Black. 2019. Storyboarding of recipes: Grounded contextual generation
K Chandu, E Nyberg, W Alan
Proceedings of the 57th Annual Meeting of the Association for Computational …, 0
Gemv2: Multilingual nlg benchmarking in a single line of code
S Gehrmann, A Bhattacharjee, A Mahendiran, A Wang, A Papangelis, ...
arXiv preprint arXiv:2206.11249, 2022
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