Microsoft Research Cambridge
Machine Intelligence
Advanced machine learning research, grounded in trust, efficiency, capability.
论文与出版物
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A Fourier Space Perspective on Diffusion Models
Fabian Falck, Teodora Pandeva, Kiarash Zahirnia, Rachel Lawrence, Richard Turner, Edward Meeds, Javier Zazo, Sushrut Karmalkar
May 2025
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Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation
Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Fabian Falck, Risa Ueno, Aditya Nori, Rahul Sharma, Amit Sharma, Javier González
ICLR 2025 – Workshop on Reasoning and Planning for LLMs | March 2025
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Reasoning Elicitation in Language Models via Counterfactual Feedback
Alihan Hüyük, Xinnuo Xu, Jacqueline Maasch, Aditya Nori, Javier González
ICLR 2025 | March 2025
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SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training
Chao Ma, Wenbo Gong, Meyer Scetbon, Edward Meeds
ICML 2025 | February 2025
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Towards Efficient Optimizer Design for LLM via Structured Fisher Approximation with a Low-Rank Extension
Wenbo Gong, Meyer Scetbon, Chao Ma, Edward Meeds
ArXiv | February 2025
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Gradient Multi-Normalization for Stateless and Scalable LLM Training
Meyer Scetbon, Chao Ma, Wenbo Gong, Edward Meeds
NeurIPS 2025 | February 2025
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KBLaM: Knowledge Base augmented Language Model
Xi Wang, Liana Mikaelyan, Taketomo Isazawa, James Hensman
October 2024
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Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models
Javier González, Aditya Nori
NeurIPS 2024 | August 2024
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Learning to Extract Structured Entities Using Language Models
Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra
2024 Empirical Methods in Natural Language Processing | February 2024
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DiSK: A Diffusion Model for Structured Knowledge
Ouail Kitouni, Niklas Nolte, James Hensman, Bhaskar Mitra
December 2023
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A Fourier Space Perspective on Diffusion Models
Fabian Falck, Teodora Pandeva, Kiarash Zahirnia, Rachel Lawrence, Richard Turner, Edward Meeds, Javier Zazo, Sushrut Karmalkar
May 2025
-
Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation
Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Fabian Falck, Risa Ueno, Aditya Nori, Rahul Sharma, Amit Sharma, Javier González
ICLR 2025 – Workshop on Reasoning and Planning for LLMs | March 2025
-
Reasoning Elicitation in Language Models via Counterfactual Feedback
Alihan Hüyük, Xinnuo Xu, Jacqueline Maasch, Aditya Nori, Javier González
ICLR 2025 | March 2025
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SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training
Chao Ma, Wenbo Gong, Meyer Scetbon, Edward Meeds
ICML 2025 | February 2025
-
Towards Efficient Optimizer Design for LLM via Structured Fisher Approximation with a Low-Rank Extension
Wenbo Gong, Meyer Scetbon, Chao Ma, Edward Meeds
ArXiv | February 2025
-
Gradient Multi-Normalization for Stateless and Scalable LLM Training
Meyer Scetbon, Chao Ma, Wenbo Gong, Edward Meeds
NeurIPS 2025 | February 2025
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KBLaM: Knowledge Base augmented Language Model
Xi Wang, Liana Mikaelyan, Taketomo Isazawa, James Hensman
October 2024
-
Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models
Javier González, Aditya Nori
NeurIPS 2024 | August 2024
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Learning to Extract Structured Entities Using Language Models
Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra
2024 Empirical Methods in Natural Language Processing | February 2024
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DiSK: A Diffusion Model for Structured Knowledge
Ouail Kitouni, Niklas Nolte, James Hensman, Bhaskar Mitra
December 2023
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A Fourier Space Perspective on Diffusion Models
Fabian Falck, Teodora Pandeva, Kiarash Zahirnia, Rachel Lawrence, Richard Turner, Edward Meeds, Javier Zazo, Sushrut Karmalkar
May 2025
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-
-
Learning to Extract Structured Entities Using Language Models
Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra
2024 Empirical Methods in Natural Language Processing | February 2024
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DiSK: A Diffusion Model for Structured Knowledge
Ouail Kitouni, Niklas Nolte, James Hensman, Bhaskar Mitra
December 2023
-
-
-
Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation
Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Fabian Falck, Risa Ueno, Aditya Nori, Rahul Sharma, Amit Sharma, Javier González
ICLR 2025 – Workshop on Reasoning and Planning for LLMs | March 2025
-
Reasoning Elicitation in Language Models via Counterfactual Feedback
Alihan Hüyük, Xinnuo Xu, Jacqueline Maasch, Aditya Nori, Javier González
ICLR 2025 | March 2025
-
SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training
Chao Ma, Wenbo Gong, Meyer Scetbon, Edward Meeds
ICML 2025 | February 2025
-
Gradient Multi-Normalization for Stateless and Scalable LLM Training
Meyer Scetbon, Chao Ma, Wenbo Gong, Edward Meeds
NeurIPS 2025 | February 2025
-
Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models
Javier González, Aditya Nori
NeurIPS 2024 | August 2024
-
Learning to Extract Structured Entities Using Language Models
Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra
2024 Empirical Methods in Natural Language Processing | February 2024
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Towards Efficient Optimizer Design for LLM via Structured Fisher Approximation with a Low-Rank Extension
Wenbo Gong, Meyer Scetbon, Chao Ma, Edward Meeds
ArXiv | February 2025
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A Fourier Space Perspective on Diffusion Models
Fabian Falck, Teodora Pandeva, Kiarash Zahirnia, Rachel Lawrence, Richard Turner, Edward Meeds, Javier Zazo, Sushrut Karmalkar
May 2025
-
DiSK: A Diffusion Model for Structured Knowledge
Ouail Kitouni, Niklas Nolte, James Hensman, Bhaskar Mitra
December 2023
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KBLaM: Knowledge Base augmented Language Model
Xi Wang, Liana Mikaelyan, Taketomo Isazawa, James Hensman
October 2024
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