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Ojasv Kamal
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2020 – today
- 2024
- [c5]Flavio Schneider, Ojasv Kamal, Zhijing Jin, Bernhard Schölkopf:
Moûsai: Efficient Text-to-Music Diffusion Models. ACL (1) 2024: 8050-8068 - 2023
- [c4]Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf:
CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. NeurIPS 2023 - [i3]Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf:
CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. CoRR abs/2312.04350 (2023) - 2022
- [c3]Zhijing Jin, Sydney Levine, Fernando Gonzalez Adauto, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf:
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. NeurIPS 2022 - [i2]Zhijing Jin, Sydney Levine, Fernando Gonzalez, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf:
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. CoRR abs/2210.01478 (2022) - 2021
- [c2]Ojasv Kamal, Adarsh Kumar, Tejas Vaidhya:
Hostility Detection in Hindi Leveraging Pre-trained Language Models. CONSTRAINT@AAAI 2021: 213-223 - [c1]Adarsh Kumar, Ojasv Kamal, Susmita Mazumdar:
Adversities are all you need: Classification of self-reported breast cancer posts on Twitter using Adversarial Fine-tuning. SMM4H@NAACL-HLT 2021: 112-114 - [i1]Ojasv Kamal, Adarsh Kumar, Tejas Vaidhya:
Hostility Detection in Hindi leveraging Pre-Trained Language Models. CoRR abs/2101.05494 (2021)
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