Aug 28, 2026
Sophistication in GenAI Use: Field Evidence from a Large Firm
This paper examines how back-office employees at KPMG LLP use generative AI (genAI) in their daily work, specifically focusing on the "sophistication" of the...
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Understand new AI research with readable explanations and links to the original papers.
Aug 28, 2026
ASIL: Replacing Screenshot-and-Click with Structured State and Semantic Actions
ASIL (Agent-Software Interaction Layer) is a new interface designed to improve how AI agents operate software.
Aug 28, 2026
GRAIN: Bridging Name and Narrative Shifts in Real-World Graph Reasoning through Invariance-Rewarded Agentic RL
GRAIN: Bridging Name and Narrative Shifts in Real-World Graph Reasoning through Invariance-Rewarded Agentic RL introduces a single-agent framework designed t...
Aug 28, 2026
pro-team at LLMs4OL 2026 Tasks Flagship and Reuse: Retrieval-Augmented Generation and Vocabulary-Constrained Filtering for Ontology Learning
The paper "pro-team at LLMs4OL 2026 Tasks Flagship and Reuse: Retrieval-Augmented Generation and Vocabulary-Constrained Filtering for Ontology Learning" pres...
Aug 28, 2026
What Makes Good Agentic Data? An ACE Lens on Data Generation for LLM Agents
What Makes Good Agentic Data? An ACE Lens on Data Generation for LLM Agents proposes a framework to standardize how researchers create and evaluate data for...
Aug 28, 2026
Verify Smarter, Evolve Further: Efficient Harness Evolution through Behavior-Aware Verification
HarnessLens is a framework designed to automate the evolution of language-model agent harnesses—the instructions, tools, and runtime components that dictate...
Aug 28, 2026
When Tool Outputs Become Commands: Separating Action Induction from Runtime Authorization in Tool-Augmented LLM Agents
When Tool Outputs Become Commands: Separating Action Induction from Runtime Authorization in Tool-Augmented LLM Agents introduces SARA, a security mechanism...
Aug 28, 2026
AI agents in Algorithmic Electricity Markets: On the Emergence of Tacit Collusion
Jakub Seredyński and Georgios Tsaousoglou investigate whether autonomous AI agents, used for bidding in electricity markets, can independently learn to engag...
Aug 28, 2026
Naive Prompt Optimization: Rethinking the Need for Complex Prompt Search
Naive Prompt Optimization (NPO) is a method designed to improve the performance of autonomous AI agents by iteratively refining their instructions.
Aug 28, 2026
CorporateBench: Large-Scale Q&A Benchmarking with Temporal Knowledge Bases
CorporateBench (CB) is a human-validated, multi-task benchmark designed to evaluate how well Large Language Models (LLMs) reason over enterprise-scale docume...
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