Agent Systems

Phaedrus at BEA 2025 Shared Task: Assessment of Mathematical Tutoring Dialogues through Tutor Identity Classification and Actionability Evaluation ACL 2025 PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection AAAI 2025 PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding ICLR 2025 PiML: Automated Machine Learning Workflow Optimization using LLM Agents AutoML 2025 PINNsAgent: Automated PDE Surrogation with Large Language Models ICML 2025 PIRsuader: A Persuasive Chatbot for Mitigating Psychological Insulin Resistance in Type-2 Diabetic Patients COLING 2025 Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks ICML 2025 PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving EMNLP 2025 PlanGPT: Enhancing Urban Planning with a Tailored Agent Framework ACL 2025 Planning Agents on an Ego-Trip: Leveraging Hybrid Ego-Graph Ensembles for Improved Tool Retrieval in Enterprise Task Planning IJCNLP 2025 PlanningArena: A Modular Benchmark for Multidimensional Evaluation of Planning and Tool Learning ACL 2025 Planning from Imagination: Episodic Simulation and Episodic Memory for Vision-and-Language Navigation AAAI 2025 PLAY2PROMPT: Zero-shot Tool Instruction Optimization for LLM Agents via Tool Play ACL 2025 PodAgent: A Comprehensive Framework for Podcast Generation ACL 2025 Political Actor Agent: Simulating Legislative System for Roll Call Votes Prediction with Large Language Models AAAI 2025 Ponder & Press: Advancing Visual GUI Agent towards General Computer Control ACL 2025 PORTS: Preference-Optimized Retrievers for Tool Selection with Large Language Models EMNLP 2025 Position: AI Agents Need Authenticated Delegation ICML 2025 Position: AI Should Not Be An Imitation Game: Centaur Evaluations ICML 2025 Position: Build Agent Advocates, Not Platform Agents ICML 2025 Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives ICML 2025 Position: Theory of Mind Benchmarks are Broken for Large Language Models ICML 2025 Position: Truly Self-Improving Agents Require Intrinsic Metacognitive Learning ICML 2025 Position: Trustworthy AI Agents Require the Integration of Large Language Models and Formal Methods ICML 2025 Position: Uncertainty Quantification Needs Reassessment for Large Language Model Agents ICML 2025