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How Do Agent Harnesses Create Value? Planning Information and Release Control in Stateful LLM Agents This paper investigates how the "harnesses"—the surround...
SkillAA: Attribution-Guided Skill-Graph Updating with Targeted Validation and Rollback introduces a new framework designed to improve how frozen language mod...
RAFT: A Stateful Retrieval-Augmented Framework for Troubleshooting Agents Troubleshooting enterprise customer support issues is a complex, multi-stage proces...
Q&A on Any Spreadsheet Requires Interpreting Its Grid Structure This paper addresses a major challenge in using Large Language Models (LLMs) to answer questi...
Limits of Confidence in Diffusion This paper investigates the fundamental limitations of discrete diffusion models—such as remasking and uniform-state sample...
Ownership in AI-Assisted Everyday Tasks explores how the integration of artificial intelligence into our daily lives affects our sense of pride, authorship,...
This paper investigates how the individual components of a coding harness—the software layer that allows AI agents to perform software engineering tasks—impa...
FreqCondNorm: Towards Cross-domain Predictive Maintenance through a Frequency-Conditioned Transformer Foundation Model Predictive maintenance—the practice of...
Traffic regulations are written for humans, meaning they often rely on context, shared knowledge, and flexible language that can be ambiguous.
UnifiedPlayers: Enhance Tool-Integrated Reasoning in Agentic Reinforcement Learning Training AI agents to use tools effectively—such as writing and executing...
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