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Methodology
← Core AI
Artificial Intelligence
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Core AI
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Agent Systems
3885 directly classified 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
MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues
ACL 2024
Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents
ACL 2024
On the Multi-turn Instruction Following for Conversational Web Agents
ACL 2024
Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents
ACL 2024
BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents
ACL 2024
PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion
ACL 2024
Towards Objectively Benchmarking Social Intelligence of Language Agents at the Action Level
ACL 2024
Budget-Constrained Tool Learning with Planning
ACL 2024
CoCo-Agent: A Comprehensive Cognitive MLLM Agent for Smartphone GUI Automation
ACL 2024
Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models
ACL 2024
MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization
ACL 2024
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment
ACL 2024
RaDA: Retrieval-augmented Web Agent Planning with LLMs
ACL 2024
LangSuit·E: Planning, Controlling and Interacting with Large Language Models in Embodied Text Environments
ACL 2024
AGILE: A Novel Reinforcement Learning Framework of LLM Agents
NIPS 2024
A Single Motor Nano Aerial Vehicle with Novel Peer-to-Peer Communication and Sensing Mechanism
RSS 2024
DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning
NIPS 2024
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms
NIPS 2024
Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting
NIPS 2024
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning
NIPS 2024
Building Higher-Order Abstractions from the Components of Recommender Systems
AAAI 2024
Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation
CVPR 2024
GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation
CVPR 2024
Discovering Agents (Abstract Reprint)
AAAI 2024
TrustAgent: Towards Safe and Trustworthy LLM-based Agents
EMNLP 2024
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