ServiceNow AI Research

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Backpropagating from Customer Success
Backpropagating from Customer Success
How do we measure the real performance of AI in enterprise—beyond just model performance? This work introduces a research project …
Conference on Human Factors in Computing Systems (ACM-CHI),  2025.
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AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding
AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding
Aligning visual features with language embeddings is a key challenge in vision-language models (VLMs). The performance of such models …
Workshop at the International Conference of Learning Representation (ICLR),  2025.
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Learning to Defer for Causal Discovery with Imperfect Experts
Learning to Defer for Causal Discovery with Imperfect Experts
Integrating expert knowledge, e.g. from large language models, into causal discovery algorithms can be challenging when the knowledge …
Workshop at the International Conference of Learning Representation (ICLR),  2025.
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No, of course I can! Refusal Mechanisms Can Be Exploited Using Harmless Fine-Tuning Data
No, of course I can! Refusal Mechanisms Can Be Exploited Using Harmless Fine-Tuning Data
Leading language model (LM) providers like OpenAI and Google offer fine-tuning APIs that allow customers to adapt LMs for specific use …
Workshop at the International Conference of Learning Representation (ICLR),  2025.
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Societal Alignment Frameworks Can Improve LLM Alignment
Societal Alignment Frameworks Can Improve LLM Alignment
Recent progress in large language models (LLMs) has focused on producing responses that meet human expectations and align with shared …
Workshop at the International Conference of Learning Representation (ICLR),  2025.
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The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications
The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications
Causal discovery aims to automatically uncover causal relationships from data, a capability with significant potential across many …
Workshop at the International Conference of Learning Representation (ICLR),  2025.
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Unifying Autoregressive and Diffusion-Based Sequence Generation
Unifying Autoregressive and Diffusion-Based Sequence Generation
We take significant steps toward unifying autoregressive and diffusion-based sequence generation by extending the SEDD discrete …
Workshop at the International Conference of Learning Representation (ICLR),  2025.
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WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation
WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation
Understanding diverse web data and automating web development presents an exciting challenge for agentic AI. While existing benchmarks …
Workshop at the International Conference of Learning Representation (ICLR),  2025.
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EarthView: A Large Scale Remote Sensing Dataset for Self-Supervision
EarthView: A Large Scale Remote Sensing Dataset for Self-Supervision
This paper presents EarthView, a comprehensive dataset specifically designed for self-supervision on remote sensing data, intended to …
Workshop at the Winter Conference on Applications of Computer Vision (WACV),  2025.
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AgentMerge: Enhancing Generalization in Fine-Tuned LLM Agents
AgentMerge: Enhancing Generalization in Fine-Tuned LLM Agents
Recent advancements in large language models (LLMs) have spurred interest in developing autonomous agents capable of performing complex …
Workshop at the Neural Information Processing Systems (NeurIPS),  2024.
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