Charting the Frontier
Explore the growing body of technical papers authored by Emergence researchers. From core architectural advances to frontier agent behavior, our team pushes the boundaries of agentic systems — both independently and with leading research labs.
Benchmarking of AI Agents: A Perspective
Foundational AI/NLP
Multimodal Systems
Networked Systems
SEAL: Suite for Evaluating API-use of LLMs
Foundational AI/NLP
The Ungrounded Alignment Problem
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Leveraging the Power of LLMs: A Fine-Tuning Approach for High-Quality Aspect-Based Summarization
Foundational AI/NLP
Transformer Layers as Painters
Foundational AI/NLP
MathViz-E: A Case-study in Domain-Specialized Tool-Using Agents
Domain-Specific Customizations and Solutions
Building a Domain-specific Guardrail Model in Production
Domain-Specific Customizations and Solutions
Agent-E: From Autonomous Web Navigation to Foundational Design Principles in Agentic Systems
AI For Social Good
Sequential Decision Making
Better RAG using Relevant Information Gain
Foundational AI/NLP
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