IGDA: Interactive Graph Discovery through Large Language Model Agents.

Alexander Havrilla Alex Havrilla

Alex Havrilla David Alvarez-Melis Nicolò Fusi IGDA: Interactive Graph Discovery through Large Language Model Agents. 2025 February abs/2502.17189 CoRR https://doi.org/10.48550/arXiv.2502.17189 db/journals/corr/corr2502.html#abs-2502-17189 streams/journals/corr

Zhaiming Shen Alex Havrilla Rongjie Lai Alexander Cloninger Wenjing Liao Transformers for Learning on Noisy and Task-Level Manifolds: Approximation and Generalization Insights. 2025 May abs/2505.03205 CoRR https://doi.org/10.48550/arXiv.2505.03205 db/journals/corr/corr2505.html#abs-2505-03205 streams/journals/corr

Alex Havrilla Edward Hughes 0001 Mikayel Samvelyan Jacob D. Abernethy SPARQ: Synthetic Problem Generation for Reasoning via Quality-Diversity Algorithms. 2025 June abs/2506.06499 CoRR https://doi.org/10.48550/arXiv.2506.06499 db/journals/corr/corr2506.html#abs-2506-06499 streams/journals/corr

Alexander Havrilla Sharath Chandra Raparthy Christoforos Nalmpantis Jane Dwivedi-Yu Maksym Zhuravinskyi Eric Hambro Roberta Raileanu GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements. 2024 ICML https://proceedings.mlr.press/v235/havrilla24a.html https://openreview.net/forum?id=LH6R06NxdB conf/icml/2024 db/conf/icml/icml2024.html#HavrillaRNDZHR24 17719-17733 Alexander Havrilla Wenjing Liao Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/4a68bb0e075a3215d4ff37382ea598dc-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#HavrillaL24

Alexander Havrilla Kevin Rojas Wenjing Liao Molei Tao DFU: scale-robust diffusion model for zero-shot super-resolution image generation. 2024 abs/2401.06144 CoRR https://doi.org/10.48550/arXiv.2401.06144 db/journals/corr/corr2401.html#abs-2401-06144

Alex Havrilla Maia Iyer Understanding the Effect of Noise in LLM Training Data with Algorithmic Chains of Thought. 2024 abs/2402.04004 CoRR https://doi.org/10.48550/arXiv.2402.04004 db/journals/corr/corr2402.html#abs-2402-04004

Alex Havrilla Sharath Chandra Raparthy Christoforos Nalmpantis Jane Dwivedi-Yu Maksym Zhuravinskyi Eric Hambro Roberta Railneau GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements. 2024 abs/2402.10963 CoRR https://doi.org/10.48550/arXiv.2402.10963 db/journals/corr/corr2402.html#abs-2402-10963

Alex Havrilla Yuqing Du Sharath Chandra Raparthy Christoforos Nalmpantis Jane Dwivedi-Yu Maksym Zhuravinskyi Eric Hambro Sainbayar Sukhbaatar Roberta Raileanu Teaching Large Language Models to Reason with Reinforcement Learning. 2024 abs/2403.04642 CoRR https://doi.org/10.48550/arXiv.2403.04642 db/journals/corr/corr2403.html#abs-2403-04642

Alex Havrilla Wenjing Liao Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data. 2024 abs/2411.06646 CoRR https://doi.org/10.48550/arXiv.2411.06646 db/journals/corr/corr2411.html#abs-2411-06646 streams/journals/corr

Alex Havrilla Andrew Dai 0001 Laura O'Mahony Koen Oostermeijer Vera Zisler Alon Albalak Fabrizio Milo Sharath Chandra Raparthy Kanishk Gandhi Baber Abbasi Duy Phung Maia Iyer Dakota Mahan Chase Blagden Srishti Gureja Mohammed Hamdy Wen-Ding Li Giovanni Paolini Pawan Sasanka Ammanamanchi Elliot Meyerson Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models. 2024 abs/2412.02980 CoRR https://doi.org/10.48550/arXiv.2412.02980 db/journals/corr/corr2412.html#abs-2412-02980 streams/journals/corr

Alexander Havrilla Maksym Zhuravinskyi Duy Phung Aman Tiwari Jonathan Tow Stella Biderman Quentin Anthony Louis Castricato trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback. 8578-8595 2023 EMNLP https://doi.org/10.18653/v1/2023.emnlp-main.530 https://aclanthology.org/2023.emnlp-main.530 conf/emnlp/2023 db/conf/emnlp/emnlp2023.html#HavrillaZPTTBAC23

Biraj Dahal Alexander Havrilla Minshuo Chen Tuo Zhao Wenjing Liao On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds. 2023 abs/2302.13183 CoRR https://doi.org/10.48550/arXiv.2302.13183 db/journals/corr/corr2302.html#abs-2302-13183

Hao Liu 0028 Alexander Havrilla Rongjie Lai Wenjing Liao Deep Nonparametric Estimation of Intrinsic Data Structures by Chart Autoencoders: Generalization Error and Robustness. 2023 abs/2303.09863 CoRR https://doi.org/10.48550/arXiv.2303.09863 db/journals/corr/corr2303.html#abs-2303-09863

Tomohiro Sawada Daniel Paleka Alexander Havrilla Pranav Tadepalli Paula Vidas Alexander Kranias John J. Nay Kshitij Gupta Aran Komatsuzaki ARB: Advanced Reasoning Benchmark for Large Language Models. 2023 abs/2307.13692 CoRR https://doi.org/10.48550/arXiv.2307.13692 db/journals/corr/corr2307.html#abs-2307-13692

Biraj Dahal Alexander Havrilla Minshuo Chen Tuo Zhao Wenjing Liao On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/44d20d542f3f4e3b7097e5e3f78f99f1-Abstract-Conference.html db/conf/nips/neurips2022.html#DahalHCZL22

Louis Castricato Alexander Havrilla Shahbuland Matiana Michael Pieler Anbang Ye Ian Yang Spencer Frazier Mark O. Riedl Robust Preference Learning for Storytelling via Contrastive Reinforcement Learning. 2022 abs/2210.07792 CoRR https://doi.org/10.48550/arXiv.2210.07792 db/journals/corr/corr2210.html#abs-2210-07792

Baber Abbasi Jacob D. Abernethy Alon Albalak David Alvarez-Melis Pawan Sasanka Ammanamanchi Quentin Anthony Stella Biderman Chase Blagden Louis Castricato Sharath ChandraSharath Chandra Raparthy Minshuo Chen Alexander Cloninger Biraj Dahal Andrew Dai 0001 Yuqing Du Jane Dwivedi-Yu Spencer Frazier Nicolò Fusi Kanishk Gandhi Kshitij Gupta Srishti Gureja Eric Hambro Mohammed Hamdy Edward Hughes 0001 Maia Iyer Aran Komatsuzaki Alexander Kranias Rongjie Lai Wen-Ding Li Wenjing Liao Hao Liu 0028 Dakota Mahan Shahbuland Matiana Elliot Meyerson Fabrizio Milo Christoforos Nalmpantis John J. Nay Laura O'Mahony Koen Oostermeijer Daniel Paleka Giovanni Paolini Duy Phung Michael Pieler Roberta Raileanu Roberta Railneau Mark O. Riedl Kevin Rojas Mikayel Samvelyan Tomohiro Sawada Zhaiming Shen Sainbayar Sukhbaatar Pranav Tadepalli Molei Tao Aman Tiwari Jonathan Tow Paula Vidas Ian Yang Anbang Ye Tuo Zhao Maksym Zhuravinskyi Vera Zisler