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2020 – today
- 2024
[c9]Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, Marco Dos Santos, Stephen Marcus McAleer, Albert Q. Jiang, Jia Deng, Stella Biderman, Sean Welleck:
Llemma: An Open Language Model for Mathematics. ICLR 2024- [c8]Maciej Mikula, Szymon Tworkowski, Szymon Antoniak, Bartosz Piotrowski, Albert Q. Jiang, Jin Peng Zhou, Christian Szegedy, Lukasz Kucinski, Piotr Milos, Yuhuai Wu:
Magnushammer: A Transformer-Based Approach to Premise Selection. ICLR 2024 - [c7]Albert Q. Jiang, Wenda Li, Mateja Jamnik:
Multi-language Diversity Benefits Autoformalization. NeurIPS 2024 - [c6]Albert Q. Jiang, Alicja Ziarko, Bartosz Piotrowski, Wenda Li, Mateja Jamnik, Piotr Milos:
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe. NeurIPS 2024 - [c5]Andy Lo, Albert Q. Jiang, Wenda Li, Mateja Jamnik:
End-to-End Ontology Learning with Large Language Models. NeurIPS 2024 - [i13]Albert Q. Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de Las Casas, Emma Bou Hanna, Florian Bressand, Gianna Lengyel, Guillaume Bour, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Sandeep Subramanian, Sophia Yang, Szymon Antoniak, Teven Le Scao, Théophile Gervet, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed:
Mixtral of Experts. CoRR abs/2401.04088 (2024) - [i12]Alicja Ziarko, Albert Q. Jiang, Bartosz Piotrowski, Wenda Li, Mateja Jamnik, Piotr Milos:
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe. CoRR abs/2406.04165 (2024) - [i11]Pravesh Agrawal, Szymon Antoniak, Emma Bou Hanna, Baptiste Bout, Devendra Singh Chaplot, Jessica Chudnovsky, Diogo Costa, Baudouin De Monicault, Saurabh Garg, Théophile Gervet, Soham Ghosh, Amélie Héliou, Paul Jacob, Albert Q. Jiang, Kartik Khandelwal, Timothée Lacroix, Guillaume Lample, Diego de Las Casas, Thibaut Lavril, Teven Le Scao, Andy Lo, William Marshall, Louis Martin, Arthur Mensch, Pavankumar Muddireddy, Valera Nemychnikova, Marie Pellat, Patrick von Platen, Nikhil Raghuraman, Baptiste Rozière, Alexandre Sablayrolles, Lucile Saulnier, Romain Sauvestre, Wendy Shang, Roman Soletskyi, Lawrence Stewart, Pierre Stock, Joachim Studnia, Sandeep Subramanian, Sagar Vaze, Thomas Wang, Sophia Yang:
Pixtral 12B. CoRR abs/2410.07073 (2024) - [i10]Andy Lo, Albert Q. Jiang, Wenda Li, Mateja Jamnik:
End-to-End Ontology Learning with Large Language Models. CoRR abs/2410.23584 (2024) - 2023
- [c4]Albert Qiaochu Jiang, Sean Welleck, Jin Peng Zhou, Timothée Lacroix, Jiacheng Liu, Wenda Li, Mateja Jamnik, Guillaume Lample, Yuhuai Wu:
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs. ICLR 2023 - [i9]Maciej Mikula, Szymon Antoniak, Szymon Tworkowski, Albert Qiaochu Jiang, Jin Peng Zhou, Christian Szegedy, Lukasz Kucinski, Piotr Milos, Yuhuai Wu:
Magnushammer: A Transformer-based Approach to Premise Selection. CoRR abs/2303.04488 (2023) - [i8]Katherine M. Collins, Albert Q. Jiang, Simon Frieder, Lionel Wong, Miri Zilka, Umang Bhatt, Thomas Lukasiewicz, Yuhuai Wu, Joshua B. Tenenbaum, William Hart, Timothy Gowers, Wenda Li, Adrian Weller, Mateja Jamnik:
Evaluating Language Models for Mathematics through Interactions. CoRR abs/2306.01694 (2023) - [i7]Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de Las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed:
Mistral 7B. CoRR abs/2310.06825 (2023) - [i6]Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, Marco Dos Santos, Stephen McAleer, Albert Q. Jiang, Jia Deng, Stella Biderman, Sean Welleck:
Llemma: An Open Language Model For Mathematics. CoRR abs/2310.10631 (2023) - [i5]Albert Q. Jiang, Wenda Li, Mateja Jamnik:
Multilingual Mathematical Autoformalization. CoRR abs/2311.03755 (2023) - 2022
- [c3]Albert Qiaochu Jiang, Wenda Li, Szymon Tworkowski, Konrad Czechowski, Tomasz Odrzygózdz, Piotr Milos, Yuhuai Wu, Mateja Jamnik:
Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers. NeurIPS 2022 - [c2]Yuhuai Wu, Albert Qiaochu Jiang, Wenda Li, Markus N. Rabe, Charles Staats, Mateja Jamnik, Christian Szegedy:
Autoformalization with Large Language Models. NeurIPS 2022 - [i4]Albert Q. Jiang, Wenda Li, Szymon Tworkowski, Konrad Czechowski, Tomasz Odrzygózdz, Piotr Milos, Yuhuai Wu, Mateja Jamnik:
Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers. CoRR abs/2205.10893 (2022) - [i3]Yuhuai Wu, Albert Q. Jiang, Wenda Li, Markus N. Rabe, Charles Staats, Mateja Jamnik, Christian Szegedy:
Autoformalization with Large Language Models. CoRR abs/2205.12615 (2022) - [i2]Albert Q. Jiang, Sean Welleck, Jin Peng Zhou, Wenda Li, Jiacheng Liu, Mateja Jamnik, Timothée Lacroix, Yuhuai Wu, Guillaume Lample:
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs. CoRR abs/2210.12283 (2022) - 2021
- [c1]Yuhuai Wu, Albert Q. Jiang, Jimmy Ba, Roger Baker Grosse:
INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving. ICLR 2021 - 2020
- [i1]Yuhuai Wu, Albert Q. Jiang, Jimmy Ba, Roger B. Grosse:
INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving. CoRR abs/2007.02924 (2020)
Coauthor Index
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