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Ai Agents

AI agent accelerates catalyst discovery for sustainable fuel development

A multi-institutional team based in China recently used AI to identify a key characteristic of compounds called catalysts that are used t...

Reddit - Artificial Intelligence · 1 min ·
[2603.10030] The DMA Streaming Framework: Kernel-Level Buffer Orchestration for High-Performance AI Data Paths
Ai Agents

[2603.10030] The DMA Streaming Framework: Kernel-Level Buffer Orchestration for High-Performance AI Data Paths

Abstract page for arXiv paper 2603.10030: The DMA Streaming Framework: Kernel-Level Buffer Orchestration for High-Performance AI Data Paths

arXiv - AI · 3 min ·
[2506.12104] DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents
Llms

[2506.12104] DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents

Abstract page for arXiv paper 2506.12104: DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents

arXiv - AI · 4 min ·

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Ai Agents

AI agent accelerates catalyst discovery for sustainable fuel development

A multi-institutional team based in China recently used AI to identify a key characteristic of compounds called catalysts that are used t...

Reddit - Artificial Intelligence · 1 min ·
[2603.10030] The DMA Streaming Framework: Kernel-Level Buffer Orchestration for High-Performance AI Data Paths
Ai Agents

[2603.10030] The DMA Streaming Framework: Kernel-Level Buffer Orchestration for High-Performance AI Data Paths

Abstract page for arXiv paper 2603.10030: The DMA Streaming Framework: Kernel-Level Buffer Orchestration for High-Performance AI Data Paths

arXiv - AI · 3 min ·
[2506.12104] DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents
Llms

[2506.12104] DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents

Abstract page for arXiv paper 2506.12104: DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents

arXiv - AI · 4 min ·
[2603.24402] AI-Supervisor: Autonomous AI Research Supervision via a Persistent Research World Model
Machine Learning

[2603.24402] AI-Supervisor: Autonomous AI Research Supervision via a Persistent Research World Model

Abstract page for arXiv paper 2603.24402: AI-Supervisor: Autonomous AI Research Supervision via a Persistent Research World Model

arXiv - AI · 4 min ·
[2603.18866] Conflict-Based Search for Multi Agent Path Finding with Asynchronous Actions
Ai Agents

[2603.18866] Conflict-Based Search for Multi Agent Path Finding with Asynchronous Actions

Abstract page for arXiv paper 2603.18866: Conflict-Based Search for Multi Agent Path Finding with Asynchronous Actions

arXiv - AI · 4 min ·
[2601.04426] XGrammar-2: Efficient Dynamic Structured Generation Engine for Agentic LLMs
Llms

[2601.04426] XGrammar-2: Efficient Dynamic Structured Generation Engine for Agentic LLMs

Abstract page for arXiv paper 2601.04426: XGrammar-2: Efficient Dynamic Structured Generation Engine for Agentic LLMs

arXiv - AI · 3 min ·
[2509.23768] From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning
Llms

[2509.23768] From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning

Abstract page for arXiv paper 2509.23768: From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning

arXiv - AI · 3 min ·
[2603.25268] CRAFT: Grounded Multi-Agent Coordination Under Partial Information
Llms

[2603.25268] CRAFT: Grounded Multi-Agent Coordination Under Partial Information

Abstract page for arXiv paper 2603.25268: CRAFT: Grounded Multi-Agent Coordination Under Partial Information

arXiv - AI · 3 min ·
[2603.25253] MolQuest: A Benchmark for Agentic Evaluation of Abductive Reasoning in Chemical Structure Elucidation
Llms

[2603.25253] MolQuest: A Benchmark for Agentic Evaluation of Abductive Reasoning in Chemical Structure Elucidation

Abstract page for arXiv paper 2603.25253: MolQuest: A Benchmark for Agentic Evaluation of Abductive Reasoning in Chemical Structure Eluci...

arXiv - AI · 4 min ·
[2603.25243] FluxEDA: A Unified Execution Infrastructure for Stateful Agentic EDA
Llms

[2603.25243] FluxEDA: A Unified Execution Infrastructure for Stateful Agentic EDA

Abstract page for arXiv paper 2603.25243: FluxEDA: A Unified Execution Infrastructure for Stateful Agentic EDA

arXiv - AI · 3 min ·
[2603.25100] From Logic Monopoly to Social Contract: Separation of Power and the Institutional Foundations for Autonomous Agent Economies
Nlp

[2603.25100] From Logic Monopoly to Social Contract: Separation of Power and the Institutional Foundations for Autonomous Agent Economies

Abstract page for arXiv paper 2603.25100: From Logic Monopoly to Social Contract: Separation of Power and the Institutional Foundations f...

arXiv - AI · 4 min ·
[2603.25063] TopoPilot: Reliable Conversational Workflow Automation for Topological Data Analysis and Visualization
Llms

[2603.25063] TopoPilot: Reliable Conversational Workflow Automation for Topological Data Analysis and Visualization

Abstract page for arXiv paper 2603.25063: TopoPilot: Reliable Conversational Workflow Automation for Topological Data Analysis and Visual...

arXiv - Machine Learning · 4 min ·
[2603.24775] AIP: Agent Identity Protocol for Verifiable Delegation Across MCP and A2A
Machine Learning

[2603.24775] AIP: Agent Identity Protocol for Verifiable Delegation Across MCP and A2A

Abstract page for arXiv paper 2603.24775: AIP: Agent Identity Protocol for Verifiable Delegation Across MCP and A2A

arXiv - AI · 4 min ·
[2603.24755] SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks
Ai Agents

[2603.24755] SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks

Abstract page for arXiv paper 2603.24755: SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks

arXiv - AI · 4 min ·
[2603.24738] Decentralized Task Scheduling in Distributed Systems: A Deep Reinforcement Learning Approach
Ai Agents

[2603.24738] Decentralized Task Scheduling in Distributed Systems: A Deep Reinforcement Learning Approach

Abstract page for arXiv paper 2603.24738: Decentralized Task Scheduling in Distributed Systems: A Deep Reinforcement Learning Approach

arXiv - Machine Learning · 4 min ·
[2603.25111] SEVerA: Verified Synthesis of Self-Evolving Agents
Llms

[2603.25111] SEVerA: Verified Synthesis of Self-Evolving Agents

Abstract page for arXiv paper 2603.25111: SEVerA: Verified Synthesis of Self-Evolving Agents

arXiv - Machine Learning · 4 min ·
[2603.24634] Dual-Graph Multi-Agent Reinforcement Learning for Handover Optimization
Ai Safety

[2603.24634] Dual-Graph Multi-Agent Reinforcement Learning for Handover Optimization

Abstract page for arXiv paper 2603.24634: Dual-Graph Multi-Agent Reinforcement Learning for Handover Optimization

arXiv - Machine Learning · 4 min ·
[2603.25093] Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrological Process Constraints
Machine Learning

[2603.25093] Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrological Process Constraints

Abstract page for arXiv paper 2603.25093: Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrolog...

arXiv - Machine Learning · 4 min ·
[2603.24925] GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation
Nlp

[2603.24925] GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation

Abstract page for arXiv paper 2603.24925: GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Gener...

arXiv - Machine Learning · 4 min ·
[2603.24709] Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated Rewards
Llms

[2603.24709] Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated Rewards

Abstract page for arXiv paper 2603.24709: Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated R...

arXiv - Machine Learning · 4 min ·
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