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Microsoft presents new research on LLMs at CHI and ICLR 2025

Microsoft Presents Groundbreaking Research on LLMs at CHI and ICLR 2025


Microsoft Presents Groundbreaking Research on LLMs at CHI and ICLR 2025  Microsoft has once again demonstrated its leadership in the field of artificial intelligence by presenting pioneering research on large language models (LLMs) at two of the world’s most prestigious conferences: CHI 2025 (Conference on Human Factors in Computing Systems) and ICLR 2025 (International Conference on Learning Representations). The research highlights Microsoft’s deep commitment to advancing AI responsibly, while also improving user interaction and model interpretability.  At CHI 2025, Microsoft researchers focused on the human-AI interaction side of LLMs. The presentations explored how users engage with AI systems powered by LLMs, including studies on user trust, transparency, and the psychological impact of interacting with increasingly human-like models. A key takeaway was the importance of designing AI interfaces that prioritize clarity and ethical communication. Microsoft introduced several prototypes aimed at making LLM responses more understandable, especially for non-expert users.  Meanwhile, at ICLR 2025, the focus shifted to the technical and theoretical advancements in LLMs. Microsoft unveiled innovations in model architecture, optimization techniques, and training efficiency. Among the most notable contributions was a method to reduce the energy consumption of training large models, helping to make AI development more sustainable. Another area of focus was improving multilingual capabilities and ensuring that models perform equitably across different languages and dialects.  Microsoft’s participation in these conferences not only reflects the company’s deep involvement in the global AI research community but also signals the evolving landscape of LLMs. Their research emphasized fairness, security, and interpretability—three pillars that are becoming essential as AI systems are more widely deployed in real-world applications.  By presenting at CHI and ICLR, Microsoft continues to push the boundaries of what large language models can do, while also emphasizing the importance of responsible innovation. This balanced approach positions Microsoft as a leading force in shaping the future of AI, both from a technical and ethical standpoint.

Microsoft has once again demonstrated its leadership in the field of artificial intelligence by presenting pioneering research on large language models (LLMs) at two of the world’s most prestigious conferences: CHI 2025 (Conference on Human Factors in Computing Systems) and ICLR 2025 (International Conference on Learning Representations). The research highlights Microsoft’s deep commitment to advancing AI responsibly, while also improving user interaction and model interpretability.


At CHI 2025, Microsoft researchers focused on the human-AI interaction side of LLMs. The presentations explored how users engage with AI systems powered by LLMs, including studies on user trust, transparency, and the psychological impact of interacting with increasingly human-like models. A key takeaway was the importance of designing AI interfaces that prioritize clarity and ethical communication. Microsoft introduced several prototypes aimed at making LLM responses more understandable, especially for non-expert users.


Meanwhile, at ICLR 2025, the focus shifted to the technical and theoretical advancements in LLMs. Microsoft unveiled innovations in model architecture, optimization techniques, and training efficiency. Among the most notable contributions was a method to reduce the energy consumption of training large models, helping to make AI development more sustainable. Another area of focus was improving multilingual capabilities and ensuring that models perform equitably across different languages and dialects.


Microsoft’s participation in these conferences not only reflects the company’s deep involvement in the global AI research community but also signals the evolving landscape of LLMs. Their research emphasized fairness, security, and interpretability—three pillars that are becoming essential as AI systems are more widely deployed in real-world applications.


By presenting at CHI and ICLR, Microsoft continues to push the boundaries of what large language models can do, while also emphasizing the importance of responsible innovation. This balanced approach positions Microsoft as a leading force in shaping the future of AI, both from a technical and ethical standpoint.


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