Agent Systems

Learn from Failure: Fine-tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving ACL 2024 Learning Adverbs with Spectral Mixture Kernels ACL 2024 Learning Autonomous Driving Tasks via Human Feedbacks with Large Language Models EMNLP 2024 Learning Hybrid Dynamics Models with Simulator-Informed Latent States AAAI 2024 Learning Interactive Real-World Simulators ICLR 2024 Learning locally interacting discrete dynamical systems: Towards data-efficient and scalable prediction L4DC 2024 Learning robust policies for uncertain parametric Markov decision processes L4DC 2024 Learning to Assist Humans without Inferring Rewards NeurIPS 2024 Learning to Cooperate with Humans using Generative Agents NeurIPS 2024 Learning to Explore in POMDPs with Informational Rewards ICML 2024 Learning to Learn Faster from Human Feedback with Language Model Predictive Control RSS 2024 Learning to Use Tools via Cooperative and Interactive Agents EMNLP 2024 Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction ICLR 2024 Learning with Language-Guided State Abstractions ICLR 2024 Learning World Models for Unconstrained Goal Navigation NeurIPS 2024 LEGENT: Open Platform for Embodied Agents ACL 2024 LEGO-Prover: Neural Theorem Proving with Growing Libraries ICLR 2024 LEMON: Learning 3D Human-Object Interaction Relation from 2D Images CVPR 2024 Lemur: Harmonizing Natural Language and Code for Language Agents ICLR 2024 LETI: Learning to Generate from Textual Interactions NAACL 2024 Let Models Speak Ciphers: Multiagent Debate through Embeddings ICLR 2024 Let’s Negotiate! A Survey of Negotiation Dialogue Systems EACL 2024 Let the Beat Follow You - Creating Interactive Drum Sounds From Body Rhythm WACV 2024 Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models NeurIPS 2024 Leveraging Interesting Facts to Enhance User Engagement with Conversational Interfaces NAACL 2024