Agent Systems

e-COP : Episodic Constrained Optimization of Policies NeurIPS 2024 Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents CVPR 2024 Effective Approach to LTLf Best-Effort Synthesis in Multi-Tier Environments IJCAI 2024 Efficient Exploration for LLMs ICML 2024 Efficient Sequential Decision Making with Large Language Models EMNLP 2024 Efficient SQA from Long Audio Contexts: A Policy-driven Approach Interspeech 2024 EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records EMNLP 2024 Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches ICLR 2024 Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making NeurIPS 2024 Embodied CoT Distillation From LLM To Off-the-shelf Agents ICML 2024 Embodied Human Activity Recognition WACV 2024 Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld CVPR 2024 Emergence of Social Norms in Generative Agent Societies: Principles and Architecture IJCAI 2024 Empathy and AI: Achieving Equitable Microtransit for Underserved Communities IJCAI 2024 Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity NeurIPS 2024 Enabling Lanuguage Models to Implicitly Learn Self-Improvement ICLR 2024 Enhancing Agent Learning through World Dynamics Modeling EMNLP 2024 Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic EMNLP 2024 Enhancing Robotics with Cognitive Capabilities AAAI 2024 Enhancing the General Agent Capabilities of Low-Paramter LLMs through Tuning and Multi-Branch Reasoning NAACL 2024 Ensemble sampling for linear bandits: small ensembles suffice NeurIPS 2024 EPO: Hierarchical LLM Agents with Environment Preference Optimization EMNLP 2024 Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance EACL 2024 Errors are Robustly Tamed in Cumulative Knowledge Processes COLT 2024 Error Tracing in Programming: A Path to Personalised Feedback NAACL 2024