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← Core AI
Artificial Intelligence
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Core AI
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Agent Systems
3,885 papers
Papers per year
2002: 1
2003: 1
2006: 12
2007: 5
2008: 11
2009: 8
2010: 17
2011: 14
2012: 21
2013: 17
2014: 17
2015: 16
2016: 32
2017: 102
2018: 123
2019: 198
2020: 210
2021: 269
2022: 291
2023: 415
2024: 663
2025: 1077
2026: 365
Papers
AUTOGEN STUDIO: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems
EMNLP 2024
TinyAgent: Function Calling at the Edge
EMNLP 2024
ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems
EMNLP 2024
WebOlympus: An Open Platform for Web Agents on Live Websites
EMNLP 2024
Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks
EMNLP 2024
MIMIR: A Customizable Agent Tuning Platform for Enhanced Scientific Applications
EMNLP 2024
LM-Interview: An Easy-to-use Smart Interviewer System via Knowledge-guided Language Model Exploitation
EMNLP 2024
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems
EMNLP 2024
Personal Large Language Model Agents: A Case Study on Tailored Travel Planning
EMNLP 2024
Athena: Safe Autonomous Agents with Verbal Contrastive Learning
EMNLP 2024
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
EMNLP 2024
SLM as Guardian: Pioneering AI Safety with Small Language Model
EMNLP 2024
MARCO: Multi-Agent Real-time Chat Orchestration
EMNLP 2024
RESTful-Llama: Connecting User Queries to RESTful APIs
EMNLP 2024
QUIS: Question-guided Insights Generation for Automated Exploratory Data Analysis
EMNLP 2024
PEARL: Preference Extraction with Exemplar Augmentation and Retrieval with LLM Agents
EMNLP 2024
Aegis:An Advanced LLM-Based Multi-Agent for Intelligent Functional Safety Engineering
EMNLP 2024
Language Agents: Foundations, Prospects, and Risks
EMNLP 2024
SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent
EMNLP 2024
BASES: Large-scale Web Search User Simulation with Large Language Model based Agents
EMNLP 2024
Devil’s Advocate: Anticipatory Reflection for LLM Agents
EMNLP 2024
Dynamic Planning for LLM-based Graphical User Interface Automation
EMNLP 2024
Large Language Model-based Human-Agent Collaboration for Complex Task Solving
EMNLP 2024
R-Judge: Benchmarking Safety Risk Awareness for LLM Agents
EMNLP 2024
UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models
EMNLP 2024
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