May 15, 2026
Case-Based Calibration of Adaptive Reasoning and Execution for LLM Tool Use
Large language models (LLMs) are increasingly used to interact with external tools, but they often struggle to balance the need for deep reasoning with the r...
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AI Research Papers
Understand new AI research with readable explanations and links to the original papers.
May 15, 2026
From Sycophantic Consensus to Pluralistic Repair: Why AI Alignment Must Surface Disagreement
From Sycophantic Consensus to Pluralistic Repair: Why AI Alignment Must Surface Disagreement This paper argues that current methods for making AI models "plu...
May 15, 2026
Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems
LLM-based autonomous agents have become highly capable at individual tasks like planning and tool use, but they often struggle when forced to work together o...
May 15, 2026
OpenDeepThink: Parallel Reasoning via Bradley--Terry Aggregation
OpenDeepThink is a framework designed to improve the reasoning capabilities of Large Language Models (LLMs) by scaling "test-time compute"—the extra processi...
May 15, 2026
Interestingness as an Inductive Heuristic for Future Compression Progress
Interestingness as an Inductive Heuristic for Future Compression Progress This paper addresses a fundamental challenge in creating autonomous, self-improving...
May 15, 2026
Agentifying Patient Dynamics within LLMs through Interacting with Clinical World Model
Agentifying Patient Dynamics within LLMs through Interacting with Clinical World Model Sepsis management in the ICU is a high-stakes challenge that requires...
May 15, 2026
Orchard: An Open-Source Agentic Modeling Framework
Orchard: An Open-Source Agentic Modeling Framework Orchard is an open-source framework designed to make training autonomous AI agents more scalable, affordab...
May 15, 2026
Learning Developmental Scaffoldings to Guide Self-Organisation
Learning Developmental Scaffoldings to Guide Self-Organisation This research explores how complex systems—from biological embryos to artificial models—genera...
May 15, 2026
COREKG: Coreset-Guided Personalized Summarization of Knowledge Graphs
COREKG: Coreset-Guided Personalized Summarization of Knowledge Graphs Knowledge Graphs (KGs) are essential for modern applications like search engines and qu...
May 15, 2026
KGPFN: Unlocking the Potential of Knowledge Graph Foundation Model via In-Context Learning
KGPFN: Unlocking the Potential of Knowledge Graph Foundation Model via In-Context Learning Knowledge graphs (KGs) are essential for representing complex rela...
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