output
20142026
most citedFederated Multi-Task Learning under a Mixture of Distributions

94 citations

41 papers

cs.AI2026

Explanation-Bound Tool Execution for AI Agents: Server-Verified Action Claims Without Trusting Model Rationales

Genliang Zhu, Chu Wang

Tool-using agents expose structured calls but commonly attach free-form rationales. Such rationales are neither authorization nor reliable introspection. We present Explanation-Bou…

cs.SE2026★ 1 cited

SEALing the Gap: A Reference Framework for LLM Inference Carbon Estimation via Multi-Benchmark Driven Embodiment

Priyavanshi Pathania, Rohit Mehra, Vibhu Saujanya Sharma +4

Large Language Models are rapidly gaining traction in software engineering, yet their growing carbon footprint raises pressing sustainability concerns. While training emissions are…

q-bio.GN2025★ 2 cited

Enhanced Single-Cell RNA-seq Embedding through Gene Expression and Data-Driven Gene-Gene Interaction Integration

Hojjat Torabi Goudarzi, Maziyar Baran Pouyan

Single-cell RNA sequencing (scRNA-seq) provides unprecedented insights into cellular heterogeneity, enabling detailed analysis of complex biological systems at single-cell resoluti…

cs.SE2025★ 3 cited

Assessing the Impact of Refactoring Energy-Inefficient Code Patterns on Software Sustainability: An Industry Case Study

Rohit Mehra, Priyavanshi Pathania, Vibhu Saujanya Sharma +3

Advances in technologies like artificial intelligence and metaverse have led to a proliferation of software systems in business and everyday life. With this widespread penetration,…

cs.SE2025★ 2 cited

Towards a Knowledge Base of Common Sustainability Weaknesses in Green Software Development

Priyavanshi Pathania, Rohit Mehra, Vibhu Saujanya Sharma +3

With the climate crisis looming, engineering sustainable software systems become crucial to optimize resource utilization, minimize environmental impact, and foster a greener, more…

cs.CY2025★ 4 cited

How Do Companies Manage the Environmental Sustainability of AI? An Interview Study About Green AI Efforts and Regulations

Ashmita Sampatsing, Sophie Vos, Emma Beauxis-Aussalet +1

With the ever-growing adoption of artificial intelligence (AI), AI-based software and its negative impact on the environment are no longer negligible, and studying and mitigating t…