Papers
PiML: Automated Machine Learning Workflow Optimization using LLM Agents
Abhishek Chopde, Fardeen Pettiwala, Sankar Kirubananth et al.
AutoPDL: Automatic Prompt Optimization for LLM Agents
Claudio Spiess, Mandana Vaziri, Louis Mandel et al.
Generalizing End-To-End Autonomous Driving In Real-World Environments Using Zero-Shot LLMs
Zeyu Dong, Yimin Zhu, Yansong Li et al.
DeliGrasp: Inferring Object Properties with LLMs for Adaptive Grasp Policies
William Xie, Maria Valentini, Jensen Lavering et al.
Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction
Aidan Curtis, Nishanth Kumar, Jing Cao et al.
APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs
Huaxiaoyue Wang, Nathaniel Chin, Gonzalo Gonzalez-Pumariega et al.
GenSim2: Scaling Robot Data Generation with Multi-modal and Reasoning LLMs
Pu Hua, Minghuan Liu, Annabella Macaluso et al.
Do LLM Modules Generalize? A Study on Motion Generation for Autonomous Driving
Mingyi Wang, Jingke Wang, Tengju Ye et al.
Repair Is Nearly Generation: Multilingual Program Repair with LLMs
Harshit Joshi, José Cambronero Sanchez, Sumit Gulwani et al.
Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback
Shreyas Bhat Brahmavar, Ashwin Srinivasan, Tirtharaj Dash et al.
Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization: When Divergence Meets Consistency
Peijun Bao, Zihao Shao, Wenhan Yang et al.
BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions
Wenbo Hu, Yifan Xu, Yi Li et al.
MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators
Yaqi Zhang, Di Huang, Bin Liu et al.
LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model
Linmei Hu, Hongyu He, Duokang Wang et al.
Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis
James R. Kirk, Robert E. Wray, Peter Lindes et al.
Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data
Yiwei Li, Peiwen Yuan, Shaoxiong Feng et al.
VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View
Raphael Schumann, Wanrong Zhu, Weixi Feng et al.
OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning
Ziyu Shang, Wenjun Ke, Nana Xiu et al.
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
Xuan Shen, Peiyan Dong, Lei Lu et al.
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs
Yan Wang, Zhixuan Chu, Xin Ouyang et al.
ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context
Chenxiao Wu, Wenjun Ke, Peng Wang et al.
Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation
Zhewei Yao, Xiaoxia Wu, Cheng Li et al.
LLMEval: A Preliminary Study on How to Evaluate Large Language Models
Yue Zhang, Ming Zhang, Haipeng Yuan et al.
ExpeL: LLM Agents Are Experiential Learners
Andrew Zhao, Daniel Huang, Quentin Xu et al.
Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning
Turgay Caglar, Sirine Belhaj, Tathagata Chakraborty et al.