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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
AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories
EMNLP 2024
Towards Explainable Computerized Adaptive Testing with Large Language Model
EMNLP 2024
LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble
EMNLP 2024
Self-Renewal Prompt Optimizing with Implicit Reasoning
EMNLP 2024
Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming
EMNLP 2024
HoneyComb: A Flexible LLM-Based Agent System for Materials Science
EMNLP 2024
Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning
EMNLP 2024
Enhancing Agent Learning through World Dynamics Modeling
EMNLP 2024
NegotiationToM: A Benchmark for Stress-testing Machine Theory of Mind on Negotiation Surrounding
EMNLP 2024
An Evaluation Mechanism of LLM-based Agents on Manipulating APIs
EMNLP 2024
Navigating the Nuances: A Fine-grained Evaluation of Vision-Language Navigation
EMNLP 2024
Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval
EMNLP 2024
Learning Autonomous Driving Tasks via Human Feedbacks with Large Language Models
EMNLP 2024
Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents
EMNLP 2024
Are LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation Dialogues
EMNLP 2024
TriageAgent: Towards Better Multi-Agents Collaborations for Large Language Model-Based Clinical Triage
EMNLP 2024
FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking
EMNLP 2024
Nebula: A discourse aware Minecraft Builder
EMNLP 2024
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models
EMNLP 2024
Semi-Supervised Reward Modeling via Iterative Self-Training
EMNLP 2024
E2CL: Exploration-based Error Correction Learning for Embodied Agents
EMNLP 2024
MMedAgent: Learning to Use Medical Tools with Multi-modal Agent
EMNLP 2024
TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models
EMNLP 2024
AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation
EMNLP 2024
Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging
EMNLP 2024
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