LLM Agents

LLM: Large Language Model

Follow this topic Ask about this topic

Momentum

57 papers in the last four weeks, up 58% on the four weeks before. 0.6% of all new papers.

Jul 13Week of Sep 28

Latest papers 433

All topics

BIM Information Extraction Through LLM-based Adaptive Exploration
May 3, 2026Sylvain Hellin, Suhyung Jang, Stefan Fuchs +2Building Information Modeling LLM Information Extraction
Chair of Computing in Civil and Building Engineering, Georg Nemetschek Institute, Technical University of Munich, Munich, Germany
AgentStop: Terminating Local AI Agents Early to Save Energy in Consumer Devices
May 1, 2026Dzung Pham, Kleomenis Katevas, Ali Shahin Shamsabadi +1LLM Inference Efficiency On-Device Language Model Inference
University of Massachusetts Amherst Amherst, Massachusetts, USA · Brave Software London, UK · Brave Software, Imperial College London London, UK
Collaborative Agent Reasoning Engineering (CARE): A Three-Party Design Methodology for Systematically Engineering AI Agents with Subject Matter Experts, Developers, and Helper Agents
Apr 30, 2026Rahul Ramachandran, Nidhi Jha, Muthukumaran RamasubramanianLLM Agents Human-AI Collaboration
Marshall Space Flight Center, Huntsville, Alabama · The University of Alabama in Huntsville, Huntsville, Alabama
Exploring LLM Agent Designs and Interaction Modalities for Scientific Visualization
Apr 30, 2026Jackson Vonderhorst, Kuangshi Ai, Haichao Miao +2Scientific Visualization Data Visualization
Univ. Notre Dame · LLNL
Building Persona-Based Agents On Demand: Tailoring Multi-Agent Workflows to User Needs
Apr 30, 2026Giuseppe Arbore, Andrea Sillano, Luigi De RussisMulti-Agent Orchestration Agentic Workflows
Politecnico di Torino, Italy
KellyBench: A Benchmark for Long-Horizon Sequential Decision Making
Apr 30, 2026Thomas Grady, Kip Parker, Iliyan Zarov +3Sequential Decision Making Long-Horizon Agent Evaluation
General Reasoning, Inc.
ObjectGraph: From Document Injection to Knowledge Traversal -- A Native File Format for the Agentic Era
Apr 30, 2026Mohit Dubey, Open GiganticLLM Agents Knowledge Graphs
Open Gigantic
When Roles Fail: Epistemic Constraints on Advocate Role Fidelity in LLM-Based Political Statement Analysis
Apr 29, 2026Juergen DietrichMulti-Agent LLM Systems Stance Detection
TRUST Project — democracy-intelligence.de
Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents
Apr 29, 2026Benjamin Probst, Andreas Happe, Jürgen CitoOpen-Weight Language Models Automated Penetration Testing
TU Wien, Vienna, Austria
SiriusHelper: An LLM Agent-Based Operations Assistant for Big Data Platforms
Apr 29, 2026Yu Shen, Shiyang Liu, Qihang He +14Customer Support Automation LLM Agent Orchestration
TEG, Tencent Inc., China · School of Computer Science, Peking University, China
Towards Agentic Investigation of Security Alerts
Apr 28, 2026Even Eilertsen, Vasileios Mavroeidis, Gudmund GrovCybersecurity Agentic Workflows
University of Oslo · Norwegian Defence Research Establishment (FFI) · & University of Oslo
TCOD: Exploring Temporal Curriculum in On-Policy Distillation for Multi-turn Autonomous Agents
Apr 27, 2026Jiaqi Wang, Wenhao Zhang, Weijie Shi +2Language Model Distillation LLM Agents
Tongyi Lab , Alibaba Group · † The Chinese University of Hong Kong.
DRACULA: Hunting for the Actions Users Want Deep Research Agents to Execute
Apr 26, 2026Nishant Balepur, Malachi Hamada, Varsha Kishore +9Deep Research Agents LLM Agent Evaluation
University of Maryland · New York University · Allen Institute for Artificial Intelligence (Ai2)
Revisable by Design: A Theory of Streaming LLM Agent Execution
Apr 25, 2026Zhiyuan Zhai, Ming Li, Xin WangHuman-in-the-Loop AI LLM Agents
Fudan University · Guangming Lab
Analytica: Soft Propositional Reasoning for Robust and Scalable LLM-Driven Analysis
Apr 24, 2026Junyan Cheng, Kyle Richardson, Peter ChinLLM Agent Orchestration LLM Agents
Dartmouth Collegeα · Allen Institute for AIβ
PExA: Parallel Exploration Agent for Complex Text-to-SQL
Apr 24, 2026Tanmay Parekh, Ella Hofmann-Coyle, Shuyi Wang +3LLM Inference Efficiency Text-to-SQL
University of California Los Angeles · Bloomberg
Nemobot Games: Crafting Strategic AI Gaming Agents for Interactive Learning with Large Language Models
Apr 23, 2026Chee Wei Tan, Yuchen Wang, Shangxin GuoGame-Playing Agents LLM Agents
Nanyang Technological University, Singapore, Nanyang Ave., Singapore · Nautilus Software Technologies Limited, Hong Kong.
Agentic AI-Enabled Framework for Thermal Comfort and Building Energy Assessment in Tropical Urban Neighborhoods
Apr 23, 2026Po-Yen Lai, Xinyu Yang, Derrick Low +2LLM Agents Physics-Based Simulation
Institute of High Performance Computing (IHPC), Agency for Science Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Republic of Singapore.
AEL: Agent Evolving Learning for Open-Ended Environments
Apr 23, 2026Wujiang Xu, Jiaojiao Han, Minghao Guo +4LLM Agent Self-Improvement LLM Agents
Rutgers University · Independent Researcher
CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents
Apr 23, 2026Wenjie Fu, Xiaoting Qin, Jue Zhang +5Data Leakage Contextual Integrity
Huazhong University of Science and Technology, China · Microsoft
IntrAgent: An LLM Agent for Content-Grounded Information Retrieval through Literature Review
Apr 23, 2026Fengbo Ma, Zixin Rao, Xiaoting Li +5Agentic Retrieval LLM Agents
University of Georgia, Athens, GA, USA
Separable Pathways for Causal Reasoning: How Architectural Scaffolding Enables Hypothesis-Space Restructuring in LLM Agents
Apr 21, 2026John Alderete, Sebastian Benthal, Connie Xu +1Causal Discovery LLM Agents
Amigo AI · Simon Fraser University · International Computer Science Institute
DR-Venus: Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data
Apr 21, 2026Venus Team, Sunhao Dai, Yong Deng +10Agentic RL Deep Research Agents
Ant Group
Time Series Augmented Generation for Financial Applications
Apr 21, 2026Anton Kolonin, Alexey Glushchenko, Evgeny Bochkov +1LLM Agent Evaluation AI Agent Benchmarks
SingularityNET Foundation
Rethinking Scale: Deployment Trade-offs of Small Language Models under Agent Paradigms
Apr 21, 2026Xinlin Wang, Mats BrorssonMulti-Agent LLM Systems Tool-Augmented Language Model Agents
Proximus Luxembourg S.A. · rue du Puits Romain · L-8070 Bertrange, Luxembourg +3
Characterizing AlphaEarth Embedding Geometry for Agentic Environmental Reasoning
Apr 20, 2026Mashrekur Rahman, Samuel J. Barrett, Christina LastGeospatial Foundation Models Geospatial Reasoning
Dartmouth Libraries, Dartmouth College, Hanover, 03755, NH, USA. · LGND AI, Canarias, Spain. · TipplyAI, London, UK.
Automatic Slide Updating with User-Defined Dynamic Templates and Natural Language Instructions
Apr 20, 2026Kun Zhou, Jiakai He, Wenmian Yang +3Tool-Using Vision-Language Agents Workflow Automation
School of Artificial Intelligence, Beijing Normal University, Beijing, PR China · Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, PR China · Faculty of Arts and Sciences, Beijing Normal University, Zhuhai, PR China +1
GraSP: Graph-Structured Skill Compositions for LLM Agents
Apr 20, 2026Tianle Xia, Lingxiang Hu, Yiding Sun +5LLM Agent Orchestration LLM Agent Workflow Optimization
Tencent
Co-evolving Agent Architectures and Interpretable Reasoning for Automated Optimization
Apr 20, 2026Jiahao Huang, Peilan Xu, Xiaoya Nan +1Evolutionary Optimization Large Language Model-Guided Optimization
School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing 210044, China · Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies, Institute of Cyberspace Security, School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen 518055, Guangdong, China
DORA Explorer: Improving the Exploration Ability of LLMs Without Training
Apr 19, 2026Priya Gurjar, Md Farhan Ishmam, Kenneth MarinoMulti-Armed Bandits LLM Agents
Kahlert School of Computing, University of Utah

May 3, 2026, cs.CLJ/K move · Enter open · S save

BIM Information Extraction Through LLM-based Adaptive Exploration

Sylvain Hellin, Suhyung Jang, Stefan Fuchs, Stavros Nousias+1

Chair of Computing in Civil and Building Engineering, Georg Nemetschek Institute, Technical University of Munich, Munich, Germany

Building Information Modeling LLM Information Extraction LLM Agents

Open paper AskPDF arXiv

BIM models provide structured representations of building geometry, semantics, and topology, yet extracting specific information from them remains remarkably difficult. Current approaches translate natural language into structured queries by assuming a fixed data organization (static approach), which BIM heterogeneity eventually invalidates. We address this with a new paradigm, adaptive exploration, where an LLM-based agent iteratively executes code to extract information from a BIM model, discovering its structure at runtime instead of assuming it. We evaluate this approach on ifc-bench v2, an open-source BIM question-answering benchmark introduced alongside this work, comprising 1,027 tasks across 37 IFC models from 21 projects. A factorial ablation across two LLM capability levels and four augmentation strategies shows that adaptive exploration significantly outperforms static query generation across all configurations, regardless of the augmentation strategy. These results indicate that BIM heterogeneity is best addressed at the paradigm level, not by further optimizing static approaches.

Momentum

Related topics

Latest papers 433