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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
RL-GPT: Integrating Reinforcement Learning and Code-as-policy
NIPS 2024
Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning
NIPS 2024
Construction of a Multiple-DOF Underactuated Gripper with Force-Sensing via Deep Learning
RSS 2024
ScrewMimic: Bimanual Imitation from Human Videos with Screw Space Projection
RSS 2024
3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
RSS 2024
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning
EMNLP 2024
CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading
EMNLP 2024
Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement
EMNLP 2024
Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering
EMNLP 2024
Direct Multi-Turn Preference Optimization for Language Agents
EMNLP 2024
AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation
EMNLP 2024
An Electoral Approach to Diversify LLM-based Multi-Agent Collective Decision-Making
EMNLP 2024
Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs
EMNLP 2024
How Far Can We Extract Diverse Perspectives from Large Language Models?
EMNLP 2024
AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning
EMNLP 2024
MetaReflection: Learning Instructions for Language Agents using Past Reflections
EMNLP 2024
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?
EMNLP 2024
Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic
EMNLP 2024
Efficient Sequential Decision Making with Large Language Models
EMNLP 2024
Speech After Gender: A Trans-Feminine Perspective on Next Steps for Speech Science and Technology
INTERSPEECH 2024
Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations
EMNLP 2024
OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer
EMNLP 2024
PCQPR: Proactive Conversational Question Planning with Reflection
EMNLP 2024
CodeAgent: Autonomous Communicative Agents for Code Review
EMNLP 2024
Predicting Future Actions of Reinforcement Learning Agents
NIPS 2024
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