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← Core AI
Artificial Intelligence
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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
LMR-BENCH: Evaluating LLM Agent’s Ability on Reproducing Language Modeling Research
EMNLP 2025
Enhancing Reasoning Abilities of Small LLMs with Cognitive Alignment
EMNLP 2025
WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning
EMNLP 2025
PAKTON: A Multi-Agent Framework for Question Answering in Long Legal Agreements
EMNLP 2025
RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation
EMNLP 2025
WebEvolver: Enhancing Web Agent Self-Improvement with Co-evolving World Model
EMNLP 2025
AgentPro: Enhancing LLM Agents with Automated Process Supervision
EMNLP 2025
PORTS: Preference-Optimized Retrievers for Tool Selection with Large Language Models
EMNLP 2025
Augmenting Multi-Agent Communication with State Delta Trajectory
EMNLP 2025
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains
EMNLP 2025
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge
EMNLP 2025
EmoAgent: Assessing and Safeguarding Human-AI Interaction for Mental Health Safety
EMNLP 2025
LIDDIA: Language-based Intelligent Drug Discovery Agent
EMNLP 2025
Agentic-R1: Distilled Dual-Strategy Reasoning
EMNLP 2025
TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning
EMNLP 2025
CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space
EMNLP 2025
ProcWorld: Benchmarking Large Model Planning in Reachability-Constrained Environments
EMNLP 2025
PanicToCalm: A Proactive Counseling Agent for Panic Attacks
EMNLP 2025
AI Chatbots as Professional Service Agents: Developing a Professional Identity
EMNLP 2025
Coarse-to-Fine Grounded Memory for LLM Agent Planning
EMNLP 2025
EvolveSearch: An Iterative Self-Evolving Search Agent
EMNLP 2025
Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval-Augmented Generation Across Learning Styles
EMNLP 2025
START: Self-taught Reasoner with Tools
EMNLP 2025
Knowledge-Aware Co-Reasoning for Multidisciplinary Collaboration
EMNLP 2025
EDGE: Efficient Data Selection for LLM Agents via Guideline Effectiveness
IJCAI 2025
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