May 7, 2026
LongSeeker: Elastic Context Orchestration for Long-Horizon Search Agents
LongSeeker: Elastic Context Orchestration for Long-Horizon Search Agents Long-horizon search agents often struggle as they perform complex tasks.
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AI Research Papers
Understand new AI research with readable explanations and links to the original papers.
May 7, 2026
A Foundation Model for Zero-Shot Logical Rule Induction
A Foundation Model for Zero-Shot Logical Rule Induction Inductive Logic Programming (ILP) is a method for discovering interpretable, human-readable logical r...
May 7, 2026
Executable World Models for ARC-AGI-3 in the Era of Coding Agents
Executable World Models for ARC-AGI-3 in the Era of Coding Agents This paper introduces a new approach for solving ARC-AGI-3, a challenging benchmark for art...
May 7, 2026
Strat-Reasoner: Reinforcing Strategic Reasoning of LLMs in Multi-Agent Games
Strat-Reasoner: Reinforcing Strategic Reasoning of LLMs in Multi-Agent Games Large Language Models (LLMs) are highly capable at logical tasks, but they often...
May 6, 2026
An Agent-Oriented Pluggable Experience-RAG Skill for Experience-Driven Retrieval Strategy Orchestration
An Agent-Oriented Pluggable Experience-RAG Skill for Experience-Driven Retrieval Strategy Orchestration Retrieval-augmented generation (RAG) systems typicall...
May 6, 2026
QKVShare: Quantized KV-Cache Handoff for Multi-Agent On-Device LLMs
Multi-agent LLM systems running on edge devices face a significant bottleneck: when one agent passes its work to another, the system must either perform an e...
May 6, 2026
OpenSeeker-v2: Pushing the Limits of Search Agents with Informative and High-Difficulty Trajectories
OpenSeeker-v2: Pushing the Limits of Search Agents with Informative and High-Difficulty Trajectories The development of high-performance "deep search" AI age...
May 6, 2026
From Intent to Execution: Composing Agentic Workflows with Agent Recommendation
From Intent to Execution: Composing Agentic Workflows with Agent Recommendation Creating Multi-Agent Systems (MAS)—where multiple AI agents work together to...
May 6, 2026
Contextual Multi-Objective Optimization: Rethinking Objectives in Frontier AI Systems
Contextual Multi-Objective Optimization: Rethinking Objectives in Frontier AI Systems explores why advanced AI models often struggle in open-ended, real-worl...
May 6, 2026
SymptomAI: Towards a Conversational AI Agent for Everyday Symptom Assessment
SymptomAI: Towards a Conversational AI Agent for Everyday Symptom Assessment This paper introduces SymptomAI, a conversational AI system designed to conduct...
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