large language model

Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems AAAI 2025 AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration ACL 2025 AgentDrug: Utilizing Large Language Models in an Agentic Workflow for Zero-Shot Molecular Optimization EMNLP 2025 AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments ACL 2025 Agentic AI for Digital Twin AAAI 2025 Agentic Knowledgeable Self-awareness ACL 2025 Agentic Medical Knowledge Graphs Enhance Medical Question Answering: Bridging the Gap Between LLMs and Evolving Medical Knowledge EMNLP 2025 Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools ACL 2025 Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems ACL 2025 Agentic-ToM: Cognition-Inspired Agentic Processing For Enhancing Theory of Mind Reasoning EMNLP 2025 AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration EMNLP 2025 Agent-in-the-Loop: A Data Flywheel for Continuous Improvement in LLM-based Customer Support EMNLP 2025 Agent Laboratory: Using LLM Agents as Research Assistants EMNLP 2025 AgentMaster: A Multi-Agent Conversational Framework Using A2A and MCP Protocols for Multimodal Information Retrieval and Analysis EMNLP 2025 AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction NAACL 2025 AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents ICLR 2025 AgentPro: Enhancing LLM Agents with Automated Process Supervision EMNLP 2025 Agent Reviewers: Domain-specific Multimodal Agents with Shared Memory for Paper Review ICML 2025 AgentRM: Enhancing Agent Generalization with Reward Modeling ACL 2025 Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents ICLR 2025 Agents' Room: Narrative Generation through Multi-step Collaboration ICLR 2025 Agent-to-Agent Theory of Mind: Testing Interlocutor Awareness among Large Language Models EMNLP 2025 Agent Trajectory Explorer: Visualizing and Providing Feedback on Agent Trajectories AAAI 2025 Aggregation Artifacts in Subjective Tasks Collapse Large Language Models’ Posteriors NAACL 2025 A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Users EMNLP 2025