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Agent Systems

3885 directly classified papers

Papers per year

Papers

Knowledge-Aware Co-Reasoning for Multidisciplinary Collaboration EMNLP 2025
iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use EMNLP 2025
ToolSafety: A Comprehensive Dataset for Enhancing Safety in LLM-Based Agent Tool Invocations EMNLP 2025
MIRROR: Multimodal Cognitive Reframing Therapy for Rolling with Resistance EMNLP 2025
RETAIL: Towards Real-world Travel Planning for Large Language Models EMNLP 2025
Vision-and-Language Navigation with Analogical Textual Descriptions in LLMs EMNLP 2025
Journalism-Guided Agentic In-context Learning for News Stance Detection EMNLP 2025
From Capabilities to Performance: Evaluating Key Functional Properties of LLM Architectures in Penetration Testing EMNLP 2025
Synthetic Socratic Debates: Examining Persona Effects on Moral Decision and Persuasion Dynamics EMNLP 2025
SAMULE: Self-Learning Agents Enhanced by Multi-level Reflection EMNLP 2025
PychoAgent: Psychology-driven LLM Agents for Explainable Panic Prediction on Social Media during Sudden Disaster Events EMNLP 2025
RJE: A Retrieval-Judgment-Exploration Framework for Efficient Knowledge Graph Question Answering with LLMs EMNLP 2025
Why Stop at One Error? Benchmarking LLMs as Data Science Code Debuggers for Multi-Hop and Multi-Bug Errors EMNLP 2025
Generator-Assistant Stepwise Rollback Framework for Large Language Model Agent EMNLP 2025
DocAgent: An Agentic Framework for Multi-Modal Long-Context Document Understanding EMNLP 2025
From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery EMNLP 2025
Retrieval-augmented GUI Agents with Generative Guidelines EMNLP 2025
UI-Hawk: Unleashing the Screen Stream Understanding for Mobile GUI Agents EMNLP 2025
UniDebugger: Hierarchical Multi-Agent Framework for Unified Software Debugging EMNLP 2025
CIKT: A Collaborative and Iterative Knowledge Tracing Framework with Large Language Models EMNLP 2025
Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty EMNLP 2025
Tool Preferences in Agentic LLMs are Unreliable EMNLP 2025
ActionStudio: A Lightweight Framework for Data and Training of Large Action Models EMNLP 2025
s3: You Don’t Need That Much Data to Train a Search Agent via RL EMNLP 2025
Learning to Ask: When LLM Agents Meet Unclear Instruction EMNLP 2025